Terraform Githubrepository Jobs in Usa
143 positions found — Page 13
J
Senior Sales Software Engineer (Data Integration / Customer Facing)
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Merwan Zattam Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000
- $155,000 per year A bit about us: We are a forward-thinking enterprise software firm dedicated to solving complex business problems through elegant, practical solutions.
Built by professionals with firsthand industry experience, our team understands the challenges organizations face when systems fall short of ambition.
We partner closely with clients to architect, develop and deploy software that integrates seamlessly into existing environments—prioritizing clarity, speed and long-term value over unnecessary complexity.
Our focus on transparency and collaboration ensures we stand behind what we build and grow alongside our customers.
Why join us? We offer the full spectrum of comprehensive benefits including: health, dental, and vision insurance.
We also offer paid time off, short term disability, long term disability, life insurance and a 401k plan.
Job Details Overview We are seeking a Senior Software Engineer who is passionate about building creative, scalable, and reliable software solutions to solve complex business challenges.
You’ll join a collaborative and growing software team focused on, a platform that enables fast, secure, and dependable data replication for organizations worldwide.
He has empowered global enterprises to integrate data from diverse systems, delivering meaningful insights and operational efficiency across industries.
Key Responsibilities Collaborate as part of an agile engineering team to design, develop, and enhance core software products.
Translate software requirements into high-quality technical implementations.
Participate in 24x7 on-call support rotation (approximately once per month).
Troubleshoot and perform root cause analysis on customer-reported issues.
Document defects and coordinate timely resolutions.
Partner with cross-functional teams to ensure accuracy, reliability, and quality of deliverables.
Present technical topics and demonstrate functionality to internal and external stakeholders.
Evaluate emerging technologies and contribute to architectural decision-making.
Lead small teams in achieving development goals and mentor junior engineers.
Engage with and support the open-source community related to the platform.
Required Skills & Qualifications Bachelor’s degree in Computer Science, Mathematics, or a related field.
5+ years of software development experience, with full lifecycle exposure.
Proficiency in Java and Spring Framework.
Strong understanding of data storage principles and SQL database operations.
Experience with unit testing, CI/CD, Agile, and DevOps methodologies.
Commitment to writing clean, maintainable, and reusable code.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively within a team.
Experience engaging directly with customers or end-users.
Preferred Skills & Experience Troubleshooting distributed enterprise applications.
Automating build processes using Gradle/Maven and GitHub Actions.
Building RESTful APIs.
Familiarity with cloud infrastructure technologies such as Kubernetes, Helm, and Terraform.
Experience deploying software to AWS, Azure, or Google Cloud Platform.
Monitoring using Prometheus and Grafana.
UI/UX development experience with the Vaadin framework.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $120,000
- $155,000 per year A bit about us: We are a forward-thinking enterprise software firm dedicated to solving complex business problems through elegant, practical solutions.
Built by professionals with firsthand industry experience, our team understands the challenges organizations face when systems fall short of ambition.
We partner closely with clients to architect, develop and deploy software that integrates seamlessly into existing environments—prioritizing clarity, speed and long-term value over unnecessary complexity.
Our focus on transparency and collaboration ensures we stand behind what we build and grow alongside our customers.
Why join us? We offer the full spectrum of comprehensive benefits including: health, dental, and vision insurance.
We also offer paid time off, short term disability, long term disability, life insurance and a 401k plan.
Job Details Overview We are seeking a Senior Software Engineer who is passionate about building creative, scalable, and reliable software solutions to solve complex business challenges.
You’ll join a collaborative and growing software team focused on, a platform that enables fast, secure, and dependable data replication for organizations worldwide.
He has empowered global enterprises to integrate data from diverse systems, delivering meaningful insights and operational efficiency across industries.
Key Responsibilities Collaborate as part of an agile engineering team to design, develop, and enhance core software products.
Translate software requirements into high-quality technical implementations.
Participate in 24x7 on-call support rotation (approximately once per month).
Troubleshoot and perform root cause analysis on customer-reported issues.
Document defects and coordinate timely resolutions.
Partner with cross-functional teams to ensure accuracy, reliability, and quality of deliverables.
Present technical topics and demonstrate functionality to internal and external stakeholders.
Evaluate emerging technologies and contribute to architectural decision-making.
Lead small teams in achieving development goals and mentor junior engineers.
Engage with and support the open-source community related to the platform.
Required Skills & Qualifications Bachelor’s degree in Computer Science, Mathematics, or a related field.
5+ years of software development experience, with full lifecycle exposure.
Proficiency in Java and Spring Framework.
Strong understanding of data storage principles and SQL database operations.
Experience with unit testing, CI/CD, Agile, and DevOps methodologies.
Commitment to writing clean, maintainable, and reusable code.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively within a team.
Experience engaging directly with customers or end-users.
Preferred Skills & Experience Troubleshooting distributed enterprise applications.
Automating build processes using Gradle/Maven and GitHub Actions.
Building RESTful APIs.
Familiarity with cloud infrastructure technologies such as Kubernetes, Helm, and Terraform.
Experience deploying software to AWS, Azure, or Google Cloud Platform.
Monitoring using Prometheus and Grafana.
UI/UX development experience with the Vaadin framework.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior DevOps Engineer (Kubernetes + AWS)
🏢 Jobot
Salary not disclosed
Fully Remote.
Well-Funded Startup.
Meaningful Equity.
Annual Bonus.
Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: We are a fast-growth, well-funded software company.
Our platform offers end-to-end DevOps software for teams that don’t have dedicated Cloud Infrastructure engineers.
The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support.
Why join us? We have an engineering, product driven culture that does right by our employees.
Our customers love us, our product is in high demand and we’re growing quickly Our team has been remote since day one.
10% Annual Bonus, Unlimited PTO, WFH Stipend Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Job Details We are looking for a DevOps Engineer that is fluent with Kubernetes, cloud deployments and AWS.
The role involves understanding the customer’s high level application and translating it into lower-level cloud constructs, followed by executing that implementation using our platform.
*** MUST BE BASED IN THE US, MUST HAVE PREVIOUS EXPERIENCE IN A STARTUP ENVIRONMENT
*** Qualifications 6+ years of cloud architecture or DevOps experience, with an emphasis on the AWS suite of tools Sound knowledge of Kubernetes, ECS and similar container orchestration technologies.
Well-versed with containerized apps, migrations and modern CI/CD tools 3+ years of building Docker images across one or more stacks (Python, Node.js, Java, PHP, etc.) Hands on experience with Cloud Automation Tools like Terraform Experience with monitoring tools like Grafana, Prometheus and DataDog Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Well-Funded Startup.
Meaningful Equity.
Annual Bonus.
Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: We are a fast-growth, well-funded software company.
Our platform offers end-to-end DevOps software for teams that don’t have dedicated Cloud Infrastructure engineers.
The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support.
Why join us? We have an engineering, product driven culture that does right by our employees.
Our customers love us, our product is in high demand and we’re growing quickly Our team has been remote since day one.
10% Annual Bonus, Unlimited PTO, WFH Stipend Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Job Details We are looking for a DevOps Engineer that is fluent with Kubernetes, cloud deployments and AWS.
The role involves understanding the customer’s high level application and translating it into lower-level cloud constructs, followed by executing that implementation using our platform.
*** MUST BE BASED IN THE US, MUST HAVE PREVIOUS EXPERIENCE IN A STARTUP ENVIRONMENT
*** Qualifications 6+ years of cloud architecture or DevOps experience, with an emphasis on the AWS suite of tools Sound knowledge of Kubernetes, ECS and similar container orchestration technologies.
Well-versed with containerized apps, migrations and modern CI/CD tools 3+ years of building Docker images across one or more stacks (Python, Node.js, Java, PHP, etc.) Hands on experience with Cloud Automation Tools like Terraform Experience with monitoring tools like Grafana, Prometheus and DataDog Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Automation Engineer
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000
- $200,000 per year A bit about us: We are a large, diversified organization with a long-standing presence across multiple industries and a strong focus on innovation and operational excellence.
Our technology teams support a broad portfolio of digital platforms, data systems, and enterprise services that power business-critical operations at scale.
As we continue to modernize and evolve our technology landscape, we invest in building reliable, well-integrated systems and in the people who design and support them.
Collaboration, accountability, and thoughtful engineering are central to how we work.
Why join us? Join a large, established organization in the middle of meaningful technology modernization.
This role offers the opportunity to work on complex, enterprise-scale systems where automation, integration, and data accuracy truly matter.
You’ll have visibility, influence, and strong cross-functional partnership, helping shape how platforms connect and operate across the business.
If you enjoy solving real problems at scale and building solutions that drive long-term impact, this is a role where your work will be seen and used.
Job Details Senior Automation Engineer About the Role We are seeking a Senior Automation Engineer to help design and deliver scalable, intelligent automation across a complex enterprise environment.
This role is ideal for an engineer who began their career in Cloud Engineering, Network Engineering, or Identity & Access Management (IAM) and has since expanded into automation, systems integration, and operational efficiency.
This position goes beyond traditional scripting or task automation.
You will work at the intersection of infrastructure, identity, cloud platforms, and service management, using automation to connect systems, reduce manual work, and improve reliability and visibility across the enterprise.
A strong understanding of CMDB concepts and data relationships is critical, as automation efforts will rely heavily on accurate configuration data.
Key Responsibilities Automation & Integration Design, build, and maintain automation workflows that integrate cloud platforms, network systems, identity providers, and IT service management tools Develop automation to support provisioning, deprovisioning, configuration changes, incident response, and operational workflows Create reusable automation frameworks and patterns to scale automation across teams CMDB & Service Management Leverage CMDB data to drive automation, ensuring configuration items (CIs) and relationships are accurate and actionable Partner with service management teams to improve CMDB data quality, discovery, and governance Build automations that update, validate, and reconcile CMDB records across systems Cloud, Network & Identity Enablement Automate workflows related to cloud infrastructure (AWS, Azure, GCP), networking, and identity platforms (Okta, Azure AD, AD, CyberArk, etc.) Collaborate with cloud, network, and IAM teams to standardize and automate common operational tasks Support identity-driven automation use cases such as access provisioning, role-based access, and lifecycle events Operational Excellence Reduce manual effort and operational risk through automation and self-service capabilities Improve reliability, observability, and response times through automated remediation and event-driven workflows Support incident, change, and configuration management processes with automation-first solutions Collaboration & Leadership Act as a technical mentor and automation subject-matter expert for engineering and operations teams Partner closely with architecture, security, and platform teams to align automation with enterprise standards Contribute to automation strategy, roadmap, and best practices Required Qualifications Strong background in Cloud Engineering, Network Engineering, or Identity & Access Management, with a transition into automation Hands-on experience building automation using scripting or automation tools (Python, PowerShell, Bash, Ansible, Terraform, etc.) Solid understanding of CMDB concepts, configuration items, relationships, and service mapping Experience integrating automation with ITSM platforms (e.g., ServiceNow or similar) Strong systems-thinking mindset and ability to work across technical domains Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $180,000
- $200,000 per year A bit about us: We are a large, diversified organization with a long-standing presence across multiple industries and a strong focus on innovation and operational excellence.
Our technology teams support a broad portfolio of digital platforms, data systems, and enterprise services that power business-critical operations at scale.
As we continue to modernize and evolve our technology landscape, we invest in building reliable, well-integrated systems and in the people who design and support them.
Collaboration, accountability, and thoughtful engineering are central to how we work.
Why join us? Join a large, established organization in the middle of meaningful technology modernization.
This role offers the opportunity to work on complex, enterprise-scale systems where automation, integration, and data accuracy truly matter.
You’ll have visibility, influence, and strong cross-functional partnership, helping shape how platforms connect and operate across the business.
If you enjoy solving real problems at scale and building solutions that drive long-term impact, this is a role where your work will be seen and used.
Job Details Senior Automation Engineer About the Role We are seeking a Senior Automation Engineer to help design and deliver scalable, intelligent automation across a complex enterprise environment.
This role is ideal for an engineer who began their career in Cloud Engineering, Network Engineering, or Identity & Access Management (IAM) and has since expanded into automation, systems integration, and operational efficiency.
This position goes beyond traditional scripting or task automation.
You will work at the intersection of infrastructure, identity, cloud platforms, and service management, using automation to connect systems, reduce manual work, and improve reliability and visibility across the enterprise.
A strong understanding of CMDB concepts and data relationships is critical, as automation efforts will rely heavily on accurate configuration data.
Key Responsibilities Automation & Integration Design, build, and maintain automation workflows that integrate cloud platforms, network systems, identity providers, and IT service management tools Develop automation to support provisioning, deprovisioning, configuration changes, incident response, and operational workflows Create reusable automation frameworks and patterns to scale automation across teams CMDB & Service Management Leverage CMDB data to drive automation, ensuring configuration items (CIs) and relationships are accurate and actionable Partner with service management teams to improve CMDB data quality, discovery, and governance Build automations that update, validate, and reconcile CMDB records across systems Cloud, Network & Identity Enablement Automate workflows related to cloud infrastructure (AWS, Azure, GCP), networking, and identity platforms (Okta, Azure AD, AD, CyberArk, etc.) Collaborate with cloud, network, and IAM teams to standardize and automate common operational tasks Support identity-driven automation use cases such as access provisioning, role-based access, and lifecycle events Operational Excellence Reduce manual effort and operational risk through automation and self-service capabilities Improve reliability, observability, and response times through automated remediation and event-driven workflows Support incident, change, and configuration management processes with automation-first solutions Collaboration & Leadership Act as a technical mentor and automation subject-matter expert for engineering and operations teams Partner closely with architecture, security, and platform teams to align automation with enterprise standards Contribute to automation strategy, roadmap, and best practices Required Qualifications Strong background in Cloud Engineering, Network Engineering, or Identity & Access Management, with a transition into automation Hands-on experience building automation using scripting or automation tools (Python, PowerShell, Bash, Ansible, Terraform, etc.) Solid understanding of CMDB concepts, configuration items, relationships, and service mapping Experience integrating automation with ITSM platforms (e.g., ServiceNow or similar) Strong systems-thinking mindset and ability to work across technical domains Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Machine Learning Engineer
🏢 Jobot
Salary not disclosed
Machine Learning Engineer
- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.
CST zone candidates will be considered.
EST Candidates are not eligible.
Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.
Master’s degree in computer science, engineering or closely related field preferred.
Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.
Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
MLOps engineering principles, agile methodologies, and DevOps life-cycle management.
Technical writing and documentation for AI/ML models and processes.
Healthcare data and machine learning use cases.
Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.
Experience in managing automation with Terraform.
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.
CST zone candidates will be considered.
EST Candidates are not eligible.
Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.
Master’s degree in computer science, engineering or closely related field preferred.
Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.
Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
MLOps engineering principles, agile methodologies, and DevOps life-cycle management.
Technical writing and documentation for AI/ML models and processes.
Healthcare data and machine learning use cases.
Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.
Experience in managing automation with Terraform.
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Solutions Architect - Managed Services (Cloud Data Platforms l Snowflake, AWS, Azure)
🏢 Jobot
Salary not disclosed
Remote first / cloud-native data platforms This Jobot Job is hosted by: Katrina McFillin Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $165,000
- $190,000 per year A bit about us: Founded over a decade ago, we are a leading AI and data services partner helping global brands design, build, and run modern data and AI platforms on Snowflake and major cloud providers.
We specialize in data engineering, analytics, and managed services, combining deep technical expertise with a global delivery model to maximize business value from data.
Why join us? Competitive base compensation + bonus Remote first Comprehensive Benefits 4 weeks PTO + 10 holidays Accelerated learning and professional development with advanced training and certifications (e.g., Snowflake, cloud).
High-Impact Work: Join a specialized Elastic Operations team running mission-critical cloud data platforms for leading enterprises.
Autonomy & Collaboration: Work in a culture that prizes autonomy, creativity, transparency, and cross-functional collaboration.
Job Details Key Responsibilities and Duties: Lead the design, architecture, and implementation of large-scale cloud-native data platform solutions on Snowflake, AWS, and Azure.
Drive data migrations, integrations, and performance tuning across data warehouses, data lakes, and distributed systems to optimize reliability and cost.
Own platform security, data governance, and process engineering to ensure robust, scalable, and continuously improving data environments.
Manage multiple client engagements as a trusted advisor, collaborating with cross-functional teams and mentoring junior engineers to maximize platform ROI and customer success.
Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field (advanced degrees or relevant certifications are a plus).
At least 10 years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms (Snowflake, Redshift, Azure Data Warehouse) on AWS and/or Azure.
Proven client-facing consulting experience, including presenting to executive stakeholders and creating detailed solution documentation.
Strong technical depth in SQL, infrastructure-as-code (Terraform or CloudFormation), CI/CD (e.g., GitHub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $165,000
- $190,000 per year A bit about us: Founded over a decade ago, we are a leading AI and data services partner helping global brands design, build, and run modern data and AI platforms on Snowflake and major cloud providers.
We specialize in data engineering, analytics, and managed services, combining deep technical expertise with a global delivery model to maximize business value from data.
Why join us? Competitive base compensation + bonus Remote first Comprehensive Benefits 4 weeks PTO + 10 holidays Accelerated learning and professional development with advanced training and certifications (e.g., Snowflake, cloud).
High-Impact Work: Join a specialized Elastic Operations team running mission-critical cloud data platforms for leading enterprises.
Autonomy & Collaboration: Work in a culture that prizes autonomy, creativity, transparency, and cross-functional collaboration.
Job Details Key Responsibilities and Duties: Lead the design, architecture, and implementation of large-scale cloud-native data platform solutions on Snowflake, AWS, and Azure.
Drive data migrations, integrations, and performance tuning across data warehouses, data lakes, and distributed systems to optimize reliability and cost.
Own platform security, data governance, and process engineering to ensure robust, scalable, and continuously improving data environments.
Manage multiple client engagements as a trusted advisor, collaborating with cross-functional teams and mentoring junior engineers to maximize platform ROI and customer success.
Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field (advanced degrees or relevant certifications are a plus).
At least 10 years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms (Snowflake, Redshift, Azure Data Warehouse) on AWS and/or Azure.
Proven client-facing consulting experience, including presenting to executive stakeholders and creating detailed solution documentation.
Strong technical depth in SQL, infrastructure-as-code (Terraform or CloudFormation), CI/CD (e.g., GitHub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
DevOps Manager - Data and Cloud Engineering
🏢 Jobot
Salary not disclosed
DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX) This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $130,000
- $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations.
With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms.
They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure.
This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling.
You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment.
Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale.
Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows.
Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency.
Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment.
Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities.
Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership.
Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization.
Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks.
Proven expertise in AWS and Azure cloud environments.
Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps).
Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates).
Skilled in Python, Bash, or PowerShell for automation and deployment scripting.
Familiarity with Docker, Kubernetes, and container orchestration in production environments.
Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics.
Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR).
Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert.
Experience with MLOps, streaming data, and cloud cost optimization.
Background in Agile/Scrum methodologies with tools like Jira or Asana.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $130,000
- $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations.
With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms.
They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure.
This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling.
You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment.
Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale.
Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows.
Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency.
Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment.
Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities.
Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership.
Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization.
Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks.
Proven expertise in AWS and Azure cloud environments.
Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps).
Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates).
Skilled in Python, Bash, or PowerShell for automation and deployment scripting.
Familiarity with Docker, Kubernetes, and container orchestration in production environments.
Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics.
Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR).
Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert.
Experience with MLOps, streaming data, and cloud cost optimization.
Background in Agile/Scrum methodologies with tools like Jira or Asana.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Sr. Database Administrator (on-site)
🏢 Jobot
Salary not disclosed
Sr.
Database Administrator needed for large well-established California Bank (9-12+ Month Contract) This Jobot Consulting Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $50
- $62 per hour A bit about us: Sr.
Database Administrator needed for large established California Bank
- is responsible for analyzing, designing, configuring, maintaining and repairing systems infrastructure and application components.
Why join us? Full benefits while on contract: Medical (75% paid
- Blue Cross) Dental Vision 401k Job Details Responsibilities: Assists with on prem SQL databases, including Enterprise Always On (2016, 2019, 2022) and toolsets such as SolarWinds DPA (database performance analyzer).
Infrastructure as Code (IaC): Automate the provisioning and management of database environments using tools like Terraform, Ansible, or CloudFormation.
Hybrid Data Orchestration: Manage data movement, synchronization, and replication between local data centers and cloud-native services like Amazon RDS, Azure SQL, or Google BigQuery.
FinOps & Cost Optimization: Proactively monitor cloud resource consumption and right-size instances to prevent "bill shock" from inefficient queries or over-provisioned resources.
DevOps & CI/CD Integration: Collaborate with development teams to integrate database changes into automated software deployment pipelines (CI/CD).
Security & Compliance: Enforce data governance frameworks (e.g., GDPR, SOC2, HIPAA) across distributed environments, managing identity access (IAM), encryption, and audit trails.
Performance Engineering: Tune not just SQL queries, but also cloud-specific resources like IOPS, memory, and network latency in virtualized environments.
Required Skills & Qualifications: Cloud Platforms: Deep expertise in at least one major cloud provider (AWS, Azure, or OCI) and familiarity with multi-cloud architectures.
Database Management Systems (DBMS): Mastery of relational systems (SQL Server, Oracle, PostgreSQL, MySQL) and increasingly NoSQL or Big Data solutions (MongoDB, Snowflake, Cassandra).
Automation Scripting: Proficiency in Python, PowerShell, or Bash to automate repetitive tasks like patching and backups.
Disaster Recovery: Designing high-availability (HA) solutions that utilize multi-region replication and automated failover.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Database Administrator needed for large well-established California Bank (9-12+ Month Contract) This Jobot Consulting Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $50
- $62 per hour A bit about us: Sr.
Database Administrator needed for large established California Bank
- is responsible for analyzing, designing, configuring, maintaining and repairing systems infrastructure and application components.
Why join us? Full benefits while on contract: Medical (75% paid
- Blue Cross) Dental Vision 401k Job Details Responsibilities: Assists with on prem SQL databases, including Enterprise Always On (2016, 2019, 2022) and toolsets such as SolarWinds DPA (database performance analyzer).
Infrastructure as Code (IaC): Automate the provisioning and management of database environments using tools like Terraform, Ansible, or CloudFormation.
Hybrid Data Orchestration: Manage data movement, synchronization, and replication between local data centers and cloud-native services like Amazon RDS, Azure SQL, or Google BigQuery.
FinOps & Cost Optimization: Proactively monitor cloud resource consumption and right-size instances to prevent "bill shock" from inefficient queries or over-provisioned resources.
DevOps & CI/CD Integration: Collaborate with development teams to integrate database changes into automated software deployment pipelines (CI/CD).
Security & Compliance: Enforce data governance frameworks (e.g., GDPR, SOC2, HIPAA) across distributed environments, managing identity access (IAM), encryption, and audit trails.
Performance Engineering: Tune not just SQL queries, but also cloud-specific resources like IOPS, memory, and network latency in virtualized environments.
Required Skills & Qualifications: Cloud Platforms: Deep expertise in at least one major cloud provider (AWS, Azure, or OCI) and familiarity with multi-cloud architectures.
Database Management Systems (DBMS): Mastery of relational systems (SQL Server, Oracle, PostgreSQL, MySQL) and increasingly NoSQL or Big Data solutions (MongoDB, Snowflake, Cassandra).
Automation Scripting: Proficiency in Python, PowerShell, or Bash to automate repetitive tasks like patching and backups.
Disaster Recovery: Designing high-availability (HA) solutions that utilize multi-region replication and automated failover.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Software Engineer
🏢 Jobot
Salary not disclosed
Go Backend Engineer, Client Driven Startup, Great Benefits, Equity! This Jobot Job is hosted by: Patrick Murphy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000
- $230,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.
Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.
They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.
If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.
Why join us? Compensation & Perks: $180K–$230K base salary (depending on experience and fit, we are willing to go higher).
Equity and comprehensive health benefits.
Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).
Unlimited PTO and flexible work culture.
High-impact role as the first in-house backend engineer — immediate ownership and growth path.
Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.
You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.
What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.
Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.
Build and refine CI/CD pipelines and deployment automation.
Design and develop APIs and backend features that directly affect users’ health journeys.
Collaborate closely with engineering leadership and product teams to shape technical direction.
Champion reliability, performance, and code quality across the backend stack.
What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.
Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).
Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).
Proven success taking products from development to production.
Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $180,000
- $230,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.
Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.
They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.
If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.
Why join us? Compensation & Perks: $180K–$230K base salary (depending on experience and fit, we are willing to go higher).
Equity and comprehensive health benefits.
Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).
Unlimited PTO and flexible work culture.
High-impact role as the first in-house backend engineer — immediate ownership and growth path.
Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.
You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.
What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.
Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.
Build and refine CI/CD pipelines and deployment automation.
Design and develop APIs and backend features that directly affect users’ health journeys.
Collaborate closely with engineering leadership and product teams to shape technical direction.
Champion reliability, performance, and code quality across the backend stack.
What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.
Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).
Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).
Proven success taking products from development to production.
Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
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You can reply STOP to cancel and HELP for help.
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Not Specified
J
Senior Data Engineer
🏢 Jobot
Salary not disclosed
Join a World Class Team Operating at the Intersection of Technology, Data, and Digital Products This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $155,000
- $175,000 per year A bit about us: Competitive salary and comprehensive benefits Long-term stability with continued investment in technology and engineering High-visibility work with real-world impact A collaborative, engineering-driven culture focused on quality and continuous improvement Why join us? Work on data and machine learning platforms operating at significant scale Own and influence core systems that power critical business capabilities Collaborate with experienced engineers and data scientists in a highly technical environment Tackle complex engineering challenges with modern cloud and MLOps tooling Enjoy the stability of a mature organization combined with the opportunity to modernize and innovate Job Details Senior Data Engineer Role Summary Join a high-performing engineering team at a large, global organization operating at the intersection of technology, data, and digital products.
We are seeking a highly motivated Senior Data Engineer to lead the architecture, deployment, and operation of next-generation, data-driven platforms.
In this role, you will bridge the gap between Data Science and Production Engineering, ensuring that datasets, machine learning models, and core services are deployed reliably, scalably, and securely in the cloud.
This is a high-impact position requiring deep expertise in data architecture, backend engineering, and the full machine learning lifecycle in production environments.
Key Responsibilities Data Pipeline Design & Orchestration Design, build, and maintain robust data ingestion and transformation pipelines Leverage modern orchestration tools to ensure reliable, observable data flows supporting machine learning workloads Core Development Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration Develop shared libraries and glue services connecting cloud-native components API & Service Deployment Design, develop, and deploy high-performance Python APIs (FastAPI / Flask) to serve machine learning predictions and core application logic MLOps Pipeline Ownership Own end-to-end pipelines for continuous training, deployment, versioning, and monitoring of production ML models (e.g., recommendation or personalization systems) Infrastructure Management Architect and maintain scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform Ensure reliability, performance, and cost efficiency across environments Collaboration & Mentorship Partner closely with data scientists, software engineers, and platform teams Provide technical leadership and mentorship to junior engineers Qualifications Must-Have (Engineering Excellence) 5+ years of professional experience in Data Engineering, Software Engineering, or Cloud Engineering Deep expertise in Python for application development, data processing, and automation Proven experience building and deploying production-grade backend services and APIs (FastAPI, Flask, or Django) Strong SQL skills with experience designing and optimizing schemas for relational and analytical data stores (e.g., BigQuery, Cloud SQL) Hands-on experience with data orchestration tools such as Dagster or Airflow Extensive experience designing and operating services within Google Cloud Platform (BigQuery, Pub/Sub, Vertex AI, Compute Engine) Expert-level knowledge of Docker and Kubernetes, including Helm-based deployments Nice-to-Have (DevOps & MLOps) Experience with Infrastructure as Code tools such as Terraform or Crossplane CI/CD experience using GitHub Actions or similar tooling Familiarity with observability stacks (Prometheus, Grafana, Cloud Logging) Understanding of cloud security principles and enterprise compliance requirements Direct experience supporting production MLOps workflows (model monitoring, drift detection, automated retraining) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $155,000
- $175,000 per year A bit about us: Competitive salary and comprehensive benefits Long-term stability with continued investment in technology and engineering High-visibility work with real-world impact A collaborative, engineering-driven culture focused on quality and continuous improvement Why join us? Work on data and machine learning platforms operating at significant scale Own and influence core systems that power critical business capabilities Collaborate with experienced engineers and data scientists in a highly technical environment Tackle complex engineering challenges with modern cloud and MLOps tooling Enjoy the stability of a mature organization combined with the opportunity to modernize and innovate Job Details Senior Data Engineer Role Summary Join a high-performing engineering team at a large, global organization operating at the intersection of technology, data, and digital products.
We are seeking a highly motivated Senior Data Engineer to lead the architecture, deployment, and operation of next-generation, data-driven platforms.
In this role, you will bridge the gap between Data Science and Production Engineering, ensuring that datasets, machine learning models, and core services are deployed reliably, scalably, and securely in the cloud.
This is a high-impact position requiring deep expertise in data architecture, backend engineering, and the full machine learning lifecycle in production environments.
Key Responsibilities Data Pipeline Design & Orchestration Design, build, and maintain robust data ingestion and transformation pipelines Leverage modern orchestration tools to ensure reliable, observable data flows supporting machine learning workloads Core Development Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration Develop shared libraries and glue services connecting cloud-native components API & Service Deployment Design, develop, and deploy high-performance Python APIs (FastAPI / Flask) to serve machine learning predictions and core application logic MLOps Pipeline Ownership Own end-to-end pipelines for continuous training, deployment, versioning, and monitoring of production ML models (e.g., recommendation or personalization systems) Infrastructure Management Architect and maintain scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform Ensure reliability, performance, and cost efficiency across environments Collaboration & Mentorship Partner closely with data scientists, software engineers, and platform teams Provide technical leadership and mentorship to junior engineers Qualifications Must-Have (Engineering Excellence) 5+ years of professional experience in Data Engineering, Software Engineering, or Cloud Engineering Deep expertise in Python for application development, data processing, and automation Proven experience building and deploying production-grade backend services and APIs (FastAPI, Flask, or Django) Strong SQL skills with experience designing and optimizing schemas for relational and analytical data stores (e.g., BigQuery, Cloud SQL) Hands-on experience with data orchestration tools such as Dagster or Airflow Extensive experience designing and operating services within Google Cloud Platform (BigQuery, Pub/Sub, Vertex AI, Compute Engine) Expert-level knowledge of Docker and Kubernetes, including Helm-based deployments Nice-to-Have (DevOps & MLOps) Experience with Infrastructure as Code tools such as Terraform or Crossplane CI/CD experience using GitHub Actions or similar tooling Familiarity with observability stacks (Prometheus, Grafana, Cloud Logging) Understanding of cloud security principles and enterprise compliance requirements Direct experience supporting production MLOps workflows (model monitoring, drift detection, automated retraining) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Platform Architect Manager - Cloud Data Solutions
🏢 Jobot
Salary not disclosed
Lead new Cloud Platform team
- Hybrid in The Woodlands This Jobot Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $170,000 per year A bit about us: As a leader in our industry, we serve 40+ states across the country and handle immense amounts of data.
Why join us? We are moving to the Cloud and started an internal team about a year ago.
Now that we have established where and how we want to utilize the data, we are ready to bring on an experienced Platform Architect to build and optimize our platforms and workflows.
This is an on-site 4x/week opportunity in The Woodlands, offering great bonuses, stock, and comprehensive benefit programs.
Job Details AWS Databricks ETL Glue Terraform CI/CD AI/ML Polly/Transcribe/Bedrock SOC2/HIPPA/GDPR Python/Bash Docker/Kubernetes No C2C or sponsorship Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- Hybrid in The Woodlands This Jobot Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $170,000 per year A bit about us: As a leader in our industry, we serve 40+ states across the country and handle immense amounts of data.
Why join us? We are moving to the Cloud and started an internal team about a year ago.
Now that we have established where and how we want to utilize the data, we are ready to bring on an experienced Platform Architect to build and optimize our platforms and workflows.
This is an on-site 4x/week opportunity in The Woodlands, offering great bonuses, stock, and comprehensive benefit programs.
Job Details AWS Databricks ETL Glue Terraform CI/CD AI/ML Polly/Transcribe/Bedrock SOC2/HIPPA/GDPR Python/Bash Docker/Kubernetes No C2C or sponsorship Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
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