Terraform Jobs in Usa
140 positions found — Page 14
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
Software Engineer - Distributed Systems!
🏢 Jobot
Salary not disclosed
This company is an emerging healthcare technology start up that is turning profitable and brining their engineering team in house! Fully remote work culture.
This Jobot Job is hosted by: Alex Dickinson Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000
- $150,000 per year A bit about us: This company is a privately held start up with very little outside investment looking to bolster their internal engineering team.
They have a small remote team now that is working on ridding their stack of tech debt and building usable and scalable solutions for the future.
This is a small team where you will not only write code, perform feature upgrades & maintenance, but also be part of the system design.
Understanding of the larger scale architecture and business impacts on engineering decisions is key.
Why join us? Remote work place Innovative product that is a real player in the EHR space! Strong benefits and career growth! Collaborative team that is pushing each other to get better Ability to make a real impact on the product and code base.
You will see the results of the work that you put in come to fruition.
No red tape on making technical chances that advance the product or improve the engineering health of the company Job Details Job Details: We are a leading healthcare organization on the lookout for a passionate and highly skilled Permanent Software Engineer specializing in Distributed Systems.
This is a unique opportunity to join our innovative team and contribute to transforming the healthcare industry by developing state-of-the-art software solutions.
Our ideal candidate is a seasoned professional with extensive experience in AWS, TypeScript, MongoDB, Microservices, Docker, Terraform, Git, Express, Angular, Distributed computing, cloud computing, Nodes, and NodeJS.
You will be part of a dynamic team responsible for designing, implementing, and maintaining complex distributed systems.
Responsibilities: 1.
Design and develop robust, scalable, and efficient distributed systems.
2.
Collaborate with cross-functional teams to gather and understand business requirements.
3.
Build and maintain Microservices architecture using NodeJS and Express.
4.
Utilize Docker and Terraform for deployment and infrastructure management.
5.
Manage data storage solutions using MongoDB and AWS.
6.
Implement front-end interfaces using Angular.
7.
Monitor system performance and resolve any issues or malfunctions.
8.
Ensure all systems are up-to-date with the latest industry standards and technologies.
9.
Develop and maintain comprehensive documentation for code, algorithms, and APIs.
10.
Participate in code reviews and provide constructive feedback to peers.
11.
Adhere to best practices in software development, including testing, security, and scalability.
12.
Stay updated with the latest industry trends and technologies, and be prepared to suggest new solutions and improvements.
Qualifications: 1.
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
2.
Minimum of 5 years of experience in software development, specifically in distributed systems.
3.
Proven experience with AWS, TypeScript, MongoDB, Microservices, Docker, Terraform, Git, Express, Angular, Distributed computing, cloud computing, Nodes, and NodeJS.
4.
Strong understanding of distributed systems, data structures, algorithms, and design patterns.
5.
Excellent problem-solving skills and ability to debug complex systems.
6.
Proficient in building and maintaining Microservices architecture.
7.
Experience with Docker and Terraform for deployment and infrastructure management.
8.
Strong knowledge of MongoDB and AWS for data storage solutions.
9.
Experience in building front-end interfaces using Angular.
10.
Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
11.
Strong attention to detail and a commitment to delivering high-quality software solutions.
12.
Familiarity with the healthcare industry is a plus.
Join our team and contribute to revolutionizing the healthcare industry with your expertise in distributed systems.
Apply today! 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
This Jobot Job is hosted by: Alex Dickinson Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000
- $150,000 per year A bit about us: This company is a privately held start up with very little outside investment looking to bolster their internal engineering team.
They have a small remote team now that is working on ridding their stack of tech debt and building usable and scalable solutions for the future.
This is a small team where you will not only write code, perform feature upgrades & maintenance, but also be part of the system design.
Understanding of the larger scale architecture and business impacts on engineering decisions is key.
Why join us? Remote work place Innovative product that is a real player in the EHR space! Strong benefits and career growth! Collaborative team that is pushing each other to get better Ability to make a real impact on the product and code base.
You will see the results of the work that you put in come to fruition.
No red tape on making technical chances that advance the product or improve the engineering health of the company Job Details Job Details: We are a leading healthcare organization on the lookout for a passionate and highly skilled Permanent Software Engineer specializing in Distributed Systems.
This is a unique opportunity to join our innovative team and contribute to transforming the healthcare industry by developing state-of-the-art software solutions.
Our ideal candidate is a seasoned professional with extensive experience in AWS, TypeScript, MongoDB, Microservices, Docker, Terraform, Git, Express, Angular, Distributed computing, cloud computing, Nodes, and NodeJS.
You will be part of a dynamic team responsible for designing, implementing, and maintaining complex distributed systems.
Responsibilities: 1.
Design and develop robust, scalable, and efficient distributed systems.
2.
Collaborate with cross-functional teams to gather and understand business requirements.
3.
Build and maintain Microservices architecture using NodeJS and Express.
4.
Utilize Docker and Terraform for deployment and infrastructure management.
5.
Manage data storage solutions using MongoDB and AWS.
6.
Implement front-end interfaces using Angular.
7.
Monitor system performance and resolve any issues or malfunctions.
8.
Ensure all systems are up-to-date with the latest industry standards and technologies.
9.
Develop and maintain comprehensive documentation for code, algorithms, and APIs.
10.
Participate in code reviews and provide constructive feedback to peers.
11.
Adhere to best practices in software development, including testing, security, and scalability.
12.
Stay updated with the latest industry trends and technologies, and be prepared to suggest new solutions and improvements.
Qualifications: 1.
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
2.
Minimum of 5 years of experience in software development, specifically in distributed systems.
3.
Proven experience with AWS, TypeScript, MongoDB, Microservices, Docker, Terraform, Git, Express, Angular, Distributed computing, cloud computing, Nodes, and NodeJS.
4.
Strong understanding of distributed systems, data structures, algorithms, and design patterns.
5.
Excellent problem-solving skills and ability to debug complex systems.
6.
Proficient in building and maintaining Microservices architecture.
7.
Experience with Docker and Terraform for deployment and infrastructure management.
8.
Strong knowledge of MongoDB and AWS for data storage solutions.
9.
Experience in building front-end interfaces using Angular.
10.
Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
11.
Strong attention to detail and a commitment to delivering high-quality software solutions.
12.
Familiarity with the healthcare industry is a plus.
Join our team and contribute to revolutionizing the healthcare industry with your expertise in distributed systems.
Apply today! 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. DevOps Engineer
🏢 Jobot
Salary not disclosed
Sr.
DevOps Engineer with Azure experience needed for large well-established California Bank This Jobot 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: $140,000
- $160,000 per hour A bit about us: DevOps Engineer 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 Dental Vision 401k Upon Conversion: Strong benefits (M,D,V, and 401k) Profit sharing contribution Annual Bonus Flexible work environment Job Details Basic Knowledge, Skills and Abilities Scripting: Strong proficiency in scripting languages such as Bash, Python, or PowerShell.
CI/CD Tools: Hands-on experience with Jenkins and/or Azure Pipelines.
IaC Tools: Hands-on experience with Terraform, ARM templates, or similar IaC tools.
Container Technologies: Solid understanding of Docker and Kubernetes.
Cloud Services: Working knowledge of at least one major public cloud, with a focus on Microsoft Azure.
Operating Systems: Experience with both Linux and Windows administration.
Troubleshooting: Proven hands-on troubleshooting abilities for complex technical problems.
Networking: Knowledge of networking concepts (TCP/IP, DNS, Load Balancing, Firewalls).
Soft Skills: Excellent communication, collaboration, and problem-solving skills.
Agile Methodology: Experience working in an Agile or Scrum environment.
Requires proactive knowledge of current and future concepts of potential IT sectors.
Education and Experience Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent experience.
Minimum three (3) years of experience as a DevOps or Cloud Engineer in a hybrid or multi-cloud environment.
Experience supporting complex, enterprise-level application computing 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
DevOps Engineer with Azure experience needed for large well-established California Bank This Jobot 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: $140,000
- $160,000 per hour A bit about us: DevOps Engineer 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 Dental Vision 401k Upon Conversion: Strong benefits (M,D,V, and 401k) Profit sharing contribution Annual Bonus Flexible work environment Job Details Basic Knowledge, Skills and Abilities Scripting: Strong proficiency in scripting languages such as Bash, Python, or PowerShell.
CI/CD Tools: Hands-on experience with Jenkins and/or Azure Pipelines.
IaC Tools: Hands-on experience with Terraform, ARM templates, or similar IaC tools.
Container Technologies: Solid understanding of Docker and Kubernetes.
Cloud Services: Working knowledge of at least one major public cloud, with a focus on Microsoft Azure.
Operating Systems: Experience with both Linux and Windows administration.
Troubleshooting: Proven hands-on troubleshooting abilities for complex technical problems.
Networking: Knowledge of networking concepts (TCP/IP, DNS, Load Balancing, Firewalls).
Soft Skills: Excellent communication, collaboration, and problem-solving skills.
Agile Methodology: Experience working in an Agile or Scrum environment.
Requires proactive knowledge of current and future concepts of potential IT sectors.
Education and Experience Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent experience.
Minimum three (3) years of experience as a DevOps or Cloud Engineer in a hybrid or multi-cloud environment.
Experience supporting complex, enterprise-level application computing 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
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 Back-End Engineer (Golang)
🏢 Jobot
Salary not disclosed
Senior Back-End Engineer (Golang) – Strong Equity, Excellent Benefits, HealthTech Startup 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
- $225,000 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–$225K base salary (depending on experience).
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
- $225,000 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–$225K base salary (depending on experience).
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
Not Specified
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.
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Not Specified
J
Data 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: $155,000
- $175,000 per year A bit about us: We are a global organization operating at the intersection of technology, data, and digital platforms, supporting products and services used by millions worldwide.
Our teams build and operate highly scalable, cloud-native systems that power data-driven decision-making, advanced analytics, and machine learning across a diverse and complex ecosystem.
With a strong emphasis on modern engineering practices, automation, and innovation, we invest heavily in the people and platforms that enable long-term growth and technical excellence.
Why join us? Work at scale: Build and operate production systems that support large, globally distributed platforms and high-impact use cases.
Technical ownership: Play a key role in shaping MLOps, DevOps, and cloud architecture standards across the organization.
Modern stack: Work with Kubernetes, GCP, Terraform, CI/CD, and production machine learning systems.
Real-world impact: Deploy and operationalize machine learning models that directly support business-critical workflows.
Collaborative culture: Partner closely with experienced engineers, data scientists, and product leaders who value strong technical judgment.
Growth and stability: Join a mature, well-funded environment that offers long-term career growth and technical depth without startup volatility.
Job Details Role Summary Join an elite engineering team at a large, globally distributed organization building next-generation, data-driven platforms at scale.
We are seeking a highly motivated and skilled Senior MLOps/DevOps Engineer to lead the architecture, deployment, and operation of modern machine learning and cloud-native systems.
This role is critical in bridging Data Science and Platform Operations, ensuring machine learning models and core services are deployed reliably, scalably, and securely in production cloud environments.
The position requires deep expertise in automation, cloud infrastructure, and the full machine learning lifecycle.
Key Responsibilities MLOps Pipeline Ownership: Design, implement, and manage end-to-end MLOps pipelines for continuous training, deployment, monitoring, and versioning of production ML models (e.g., recommendation systems, content intelligence, or analytics platforms).
Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines using modern orchestration tools such as Dagster or Airflow.
Kubernetes & Cloud Architecture: Architect, deploy, and maintain highly scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform (GCP).
DevOps & Automation: Champion DevOps best practices, including Infrastructure as Code (IaC) using Terraform or similar tools, and establish reliable CI/CD workflows.
CI/CD Implementation: Configure and manage automated deployment and testing pipelines using GitHub Actions and related tooling to ensure fast, reliable releases.
Core Development: Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration.
API & Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to serve ML predictions and application services in production.
Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to maintain system reliability.
Security & Compliance: Implement security best practices, access controls, and compliance requirements appropriate for large-scale, enterprise environments.
Collaboration & Mentorship: Partner closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers.
Required Qualifications 5+ years of experience in DevOps, Cloud Engineering, or related roles, including 2+ years focused on MLOps in production environments Advanced proficiency in Python for development, automation, and scripting Proven experience building and deploying production-grade APIs and backend services (FastAPI, Flask, Django) Strong SQL skills and experience designing and optimizing data models for relational and NoSQL systems (e.g., BigQuery, Cloud SQL) Hands-on experience with workflow orchestration tools (Dagster, Airflow) Expert knowledge of Docker and Kubernetes, including Helm and Kubernetes-native IaC tools (e.g., Crossplane); GKE experience strongly preferred Extensive experience within the Google Cloud Platform (GCP) ecosystem (Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) Strong GitHub-based development workflows (branching, pull requests, code reviews) Solid understanding of network architecture, security principles, and large-scale data processing Excellent communication, collaboration, and problem-solving skills 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: We are a global organization operating at the intersection of technology, data, and digital platforms, supporting products and services used by millions worldwide.
Our teams build and operate highly scalable, cloud-native systems that power data-driven decision-making, advanced analytics, and machine learning across a diverse and complex ecosystem.
With a strong emphasis on modern engineering practices, automation, and innovation, we invest heavily in the people and platforms that enable long-term growth and technical excellence.
Why join us? Work at scale: Build and operate production systems that support large, globally distributed platforms and high-impact use cases.
Technical ownership: Play a key role in shaping MLOps, DevOps, and cloud architecture standards across the organization.
Modern stack: Work with Kubernetes, GCP, Terraform, CI/CD, and production machine learning systems.
Real-world impact: Deploy and operationalize machine learning models that directly support business-critical workflows.
Collaborative culture: Partner closely with experienced engineers, data scientists, and product leaders who value strong technical judgment.
Growth and stability: Join a mature, well-funded environment that offers long-term career growth and technical depth without startup volatility.
Job Details Role Summary Join an elite engineering team at a large, globally distributed organization building next-generation, data-driven platforms at scale.
We are seeking a highly motivated and skilled Senior MLOps/DevOps Engineer to lead the architecture, deployment, and operation of modern machine learning and cloud-native systems.
This role is critical in bridging Data Science and Platform Operations, ensuring machine learning models and core services are deployed reliably, scalably, and securely in production cloud environments.
The position requires deep expertise in automation, cloud infrastructure, and the full machine learning lifecycle.
Key Responsibilities MLOps Pipeline Ownership: Design, implement, and manage end-to-end MLOps pipelines for continuous training, deployment, monitoring, and versioning of production ML models (e.g., recommendation systems, content intelligence, or analytics platforms).
Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines using modern orchestration tools such as Dagster or Airflow.
Kubernetes & Cloud Architecture: Architect, deploy, and maintain highly scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform (GCP).
DevOps & Automation: Champion DevOps best practices, including Infrastructure as Code (IaC) using Terraform or similar tools, and establish reliable CI/CD workflows.
CI/CD Implementation: Configure and manage automated deployment and testing pipelines using GitHub Actions and related tooling to ensure fast, reliable releases.
Core Development: Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration.
API & Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to serve ML predictions and application services in production.
Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to maintain system reliability.
Security & Compliance: Implement security best practices, access controls, and compliance requirements appropriate for large-scale, enterprise environments.
Collaboration & Mentorship: Partner closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers.
Required Qualifications 5+ years of experience in DevOps, Cloud Engineering, or related roles, including 2+ years focused on MLOps in production environments Advanced proficiency in Python for development, automation, and scripting Proven experience building and deploying production-grade APIs and backend services (FastAPI, Flask, Django) Strong SQL skills and experience designing and optimizing data models for relational and NoSQL systems (e.g., BigQuery, Cloud SQL) Hands-on experience with workflow orchestration tools (Dagster, Airflow) Expert knowledge of Docker and Kubernetes, including Helm and Kubernetes-native IaC tools (e.g., Crossplane); GKE experience strongly preferred Extensive experience within the Google Cloud Platform (GCP) ecosystem (Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) Strong GitHub-based development workflows (branching, pull requests, code reviews) Solid understanding of network architecture, security principles, and large-scale data processing Excellent communication, collaboration, and problem-solving skills 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
GenAI Engineer/AWS Bedrock Developer Dallas, TX
$99,999 per day
AWS Bedrock Developer Dallas, TX
If you post this job on a job board, please do not use company name or salary.
Experience level: Mid-senior
Experience required: 10 Years
Education level: Bachelor’s degree
Job function: Information Technology
Industry: Information Technology and Services
Pay rate : $45 per hour
Total position: 1
Relocation assistance: No
Visa sponsorship eligibility: No
We are looking for a GenAI Engineer/AWS Bedrock Developer with a strong experience in Cloud Computing, specializing in AWS. The ideal candidate will have hands-on expertise with AWS Bedrock and a strong background in automating infrastructure for contact center transformation.
Job Description
- 10+ years of IT experience
- 7+ years of experience in AWS Cloud Computing
- Hands-on experience with AWS Bedrock for GenAI solutions
- Proven ability to transform Contact Center applications using GenAI
- Expertise in automating server and infrastructure provisioning using Terraform
- Strong experience with AWS Lambda, Step Functions, and SSO integrations
- Proficient in integrating on-premise systems with AWS Bedrock
If you post this job on a job board, please do not use company name or salary.
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