Tvheadend Docker Jobs in Usa
194 positions found — Page 15
J
Full Stack Developer
🏢 Jobot
Salary not disclosed
3 days WFH This Jobot Job is hosted by: Christian Aviles Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $105,000
- $125,000 per year A bit about us: Software Company Why join us? Tons of growth opportunities Job Details Position: Full Stack Developer We are seeking a highly skilled Full Stack Developer with experience in Angular (v19+) and Java (8/17+).
This role focuses on designing, developing, and deploying scalable web applications.
The ideal candidate has strong expertise in front-end frameworks, backend development with Spring Boot, and delivering high-performance, maintainable software solutions.
Core Skills & Responsibilities Develop and maintain scalable applications using Angular and Java.
Build RESTful and GraphQL APIs and integrate front-end interfaces.
Create Angular components, services, and modules using RxJS, NgRx, and Angular Material.
Develop backend logic using Spring Boot, Spring Data JPA, and Spring Security.
Write and execute unit and end-to-end tests (Jasmine, Jest, Cypress).
Optimize build and runtime performance (Angular CLI, Vite, ESBuild).
Work with Docker, NX monorepos, and CI/CD pipelines (GitHub Actions, Azure DevOps).
Collaborate across teams to ensure code quality and maintainability.
Requirements Proficiency in Java 8/17+, Spring Boot, and related Spring modules.
Strong experience with Angular 19+, TypeScript, HTML5, CSS3, and JavaScript.
Knowledge of RESTful and GraphQL API integration.
Familiarity with Docker, CI/CD tools, and Agile practices.
Ability to commute to the office three days per week.
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: $105,000
- $125,000 per year A bit about us: Software Company Why join us? Tons of growth opportunities Job Details Position: Full Stack Developer We are seeking a highly skilled Full Stack Developer with experience in Angular (v19+) and Java (8/17+).
This role focuses on designing, developing, and deploying scalable web applications.
The ideal candidate has strong expertise in front-end frameworks, backend development with Spring Boot, and delivering high-performance, maintainable software solutions.
Core Skills & Responsibilities Develop and maintain scalable applications using Angular and Java.
Build RESTful and GraphQL APIs and integrate front-end interfaces.
Create Angular components, services, and modules using RxJS, NgRx, and Angular Material.
Develop backend logic using Spring Boot, Spring Data JPA, and Spring Security.
Write and execute unit and end-to-end tests (Jasmine, Jest, Cypress).
Optimize build and runtime performance (Angular CLI, Vite, ESBuild).
Work with Docker, NX monorepos, and CI/CD pipelines (GitHub Actions, Azure DevOps).
Collaborate across teams to ensure code quality and maintainability.
Requirements Proficiency in Java 8/17+, Spring Boot, and related Spring modules.
Strong experience with Angular 19+, TypeScript, HTML5, CSS3, and JavaScript.
Knowledge of RESTful and GraphQL API integration.
Familiarity with Docker, CI/CD tools, and Agile practices.
Ability to commute to the office three days per week.
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
permanent
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 - API
🏢 Jobot
Salary not disclosed
Scalable APIs
- Docker
- CI/CD
- SQL
- Logging & Debugging This Jobot Consulting 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: $100,000
- $140,000 per year A bit about us: As a leader in our industry, we serve 40+ states across the country with custom, client-facing software.
This role is a dedicated API developer.
Why join us? You will join an established, dedicated team led by experienced engineers.
This is a hybrid, contract-to-hire opportunity and an immediate need: no sponsorship or C2C.
Job Details Clean, maintainable, Scalable APIs .NET 9 / C# Entity Framework Core RabbitMQ ILogger/Serilog Git SQL Docker CI/CD Pipelines (Octopus/Teamcity) Sendgrid/Twilio/Firebase Structured logging Debugging Microservices, message queues, and external APIs 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
- Docker
- CI/CD
- SQL
- Logging & Debugging This Jobot Consulting 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: $100,000
- $140,000 per year A bit about us: As a leader in our industry, we serve 40+ states across the country with custom, client-facing software.
This role is a dedicated API developer.
Why join us? You will join an established, dedicated team led by experienced engineers.
This is a hybrid, contract-to-hire opportunity and an immediate need: no sponsorship or C2C.
Job Details Clean, maintainable, Scalable APIs .NET 9 / C# Entity Framework Core RabbitMQ ILogger/Serilog Git SQL Docker CI/CD Pipelines (Octopus/Teamcity) Sendgrid/Twilio/Firebase Structured logging Debugging Microservices, message queues, and external APIs 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 Applications Developer
🏢 Jobot
Salary not disclosed
Hybrid Remote Opportunity This Jobot Job is hosted by: Heather Burnach 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: We offer a free entity management platform to help you organize and track all your corporate filings in one central place.
It’s a clean, powerful platform built for how real businesses actually work, designed to simplify your processes and ready to scale with you.
We are growing our engineering department looking for an experienced ruby on rails engineer.
Why join us? 100% employer-paid medical, dental and vision for employees Annual review with raise option 22 days Paid Time Off accrued annually, and 4 holidays After 3 years, PTO increases to 29 days.
Employees transition to flexible time off after 5 years with the company—not accrued, not capped, take time off when you want The 4 holidays are: New Year’s Day, Fourth of July, Thanksgiving, and Christmas Day Paid Parental Leave Up to 6% company matching 401(k) with no vesting period Quarterly allowance Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself...
really, whatever Open concept office with friendly coworkers Creative environment where you can make a difference Trail Mix Bar --- oh yeah Job Details Responsibilities: Be a good human Develop Software with Ruby, Javascript, and willing to learn and help out with our AWS infrastructure Learn Ruby and Rails Help us consistently release high-end software Contribute with bugs, and smaller parts of large projects Help design and build high traffic applications in Ruby on Rails Help peel off monolith Plain Old Ruby code into well-organized Ruby on Rails code Help design and build novel systems from scratch Have a Growth Mindset, not a Fixed Mindset Requirements: BS in Computer Science or relevant experience 2-5 years professional experience with full stack application development 2+ years experience with front-end web development, HTML, CSS, Javascript Experience with Vue, Angular or React 2+ years experience with another web frameworks like Rails, Laravel, Django, Express, Ember, Backbone etc Exposure to cloud infrastructure and relational databases in production environment Experience with CI/CD, Docker, or similar tools You bring some weird or quirky new aspect of living and humanity to our workforce Experience being project/tech lead as well as mentoring other engineers 4-5 years experience with designing, building, and maintaining Web application, preferably the front-end and back-end 2-3 years experience with Vue, Angular or React Experience building, scaling, and optimizing cloud infrastructure and relational databases in production environment.
Preferably with AWS: ECS, EC2, ECR, S3, RDS and Route53 2+ years experience with CI/CD, Docker, or similar tools Able to work in an agile environment with a focus on continuous integration and continuous development Strong grasp of security principles and how they apply to e-commerce applications 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
- $150,000 per year A bit about us: We offer a free entity management platform to help you organize and track all your corporate filings in one central place.
It’s a clean, powerful platform built for how real businesses actually work, designed to simplify your processes and ready to scale with you.
We are growing our engineering department looking for an experienced ruby on rails engineer.
Why join us? 100% employer-paid medical, dental and vision for employees Annual review with raise option 22 days Paid Time Off accrued annually, and 4 holidays After 3 years, PTO increases to 29 days.
Employees transition to flexible time off after 5 years with the company—not accrued, not capped, take time off when you want The 4 holidays are: New Year’s Day, Fourth of July, Thanksgiving, and Christmas Day Paid Parental Leave Up to 6% company matching 401(k) with no vesting period Quarterly allowance Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself...
really, whatever Open concept office with friendly coworkers Creative environment where you can make a difference Trail Mix Bar --- oh yeah Job Details Responsibilities: Be a good human Develop Software with Ruby, Javascript, and willing to learn and help out with our AWS infrastructure Learn Ruby and Rails Help us consistently release high-end software Contribute with bugs, and smaller parts of large projects Help design and build high traffic applications in Ruby on Rails Help peel off monolith Plain Old Ruby code into well-organized Ruby on Rails code Help design and build novel systems from scratch Have a Growth Mindset, not a Fixed Mindset Requirements: BS in Computer Science or relevant experience 2-5 years professional experience with full stack application development 2+ years experience with front-end web development, HTML, CSS, Javascript Experience with Vue, Angular or React 2+ years experience with another web frameworks like Rails, Laravel, Django, Express, Ember, Backbone etc Exposure to cloud infrastructure and relational databases in production environment Experience with CI/CD, Docker, or similar tools You bring some weird or quirky new aspect of living and humanity to our workforce Experience being project/tech lead as well as mentoring other engineers 4-5 years experience with designing, building, and maintaining Web application, preferably the front-end and back-end 2-3 years experience with Vue, Angular or React Experience building, scaling, and optimizing cloud infrastructure and relational databases in production environment.
Preferably with AWS: ECS, EC2, ECR, S3, RDS and Route53 2+ years experience with CI/CD, Docker, or similar tools Able to work in an agile environment with a focus on continuous integration and continuous development Strong grasp of security principles and how they apply to e-commerce applications 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
M
Sr Developer - Integration (SAP IS)
Salary not disclosed
Job Summary Worksite: Northbrook, IL Hybrid Schedule: Onsite Tues
- Thurs | Remote: Mon & Fri JOB SUMMARY We are seeking a seasoned Senior SAP Integration Developer with deep expertise in SAP Cloud Platform Integration (CPI), SAP Integration Suite, SAP Business Technology Platform (BTP), and Advanced Event Mesh.
In this role, you’ll design, develop, and maintain scalable integration solutions that bridge cloud and on-premise applications across global enterprise environments.
You will also be instrumental in mentoring junior developers and driving best practices for integration design, security, and performance.
Job Description MAJOR RESPONSIBILITIES Design, develop, and deploy complex integration flows using SAP BTP Integration Suite, CPI, and Advanced Event Mesh.
Build and manage synchronous and asynchronous interfaces between cloud and on-premise systems.
Configure and administer SAP BTP environments including connectivity (Cloud Connector), security roles, and API provisioning.
Leverage SAP Integration Suite components such as API Management, Open Connectors, CPI-DS, and SAP Event Mesh.
Configure and manage Solace messaging infrastructure – topics, queues, durable/non-durable subscriptions.
Migrate existing integrations from legacy platforms (e.g., SAP PI) to SAP Integration Suite.
Work on API-first integration designs, building secure, scalable APIs using REST/SOAP standards.
Monitor and troubleshoot integration issues using SAP Solution Manager, CPI Monitoring Dashboards, and SAP BTP Admin tools.
Collaborate with cross-functional teams to gather business requirements and translate them into technical designs.
Guide junior developers and lead technical knowledge transfer sessions.
Optimize existing integrations for performance, maintainability, and error handling.
Participate in Agile/Scrum ceremonies and lead initiatives for continuous improvement.
Interface with tools like ElasticSearch, Splunk for monitoring and logging integration behavior.
Support production instance and on call issue resolution MINIMUM JOB REQUIREMENTS Education Bachelor’s degree in computer science, IT, or related discipline.
Work Experience: 4+ years of hands-on software development experience in SAP BTP, SAP Integration Suite, and SAP CPI.
Strong background in ABAP development (especially with IDOCs, BAPI, RFC, ALE).
Extensive hands-on experience with REST/SOAP web services, XML, JSON, XSLT, and mapping/transformation logic.
Deep understanding of SAP PI/PO architecture and migration best practices.
Hands-on experience with Advanced Event Mesh.
Proficiency in at least one of the following: Java, Groovy, Python.
Experience with SAP Fiori and S/4HANA integration scenarios.
Proficiency in OAuth, SAML, SSL, and other authentication/authorization protocols.
Familiarity with SQL and working knowledge of SAP HANA, Oracle, or other relational databases.
Preferred Qualifications 8+ years of experience in SAP integration development.
SAP certifications in Integration Suite, BTP, or Cloud Platform Integration.
Experience with DevOps tools like Git, Jenkins, Docker, Kubernetes, CI/CD pipelines.
Knowledge of cloud infrastructure platforms (AWS, Azure, GCP).
Experience with event-driven architecture and microservices.
Familiarity with Agile development practices and project management tools (JIRA, Confluence).
Prior exposure to SAP Open Connectors, Graph API, and CAPM (Cloud Application Programming Model).
TECHNICAL SKILLS Integration Tools: SAP CPI, SAP PI/PO, SAP BTP, SAP API Management, SAP Event Mesh, Cloud Connector Languages: Java, ABAP, Groovy, Python, JavaScript, XML/XSLT Protocols: REST, SOAP, IDOC, OData, RFC, BAPI, SFTP, HTTP Platforms: SAP S/4HANA, SAP ECC, SAP Fiori, SAP HANA Tools: Eclipse, NetWeaver Developer Studio, Postman, SoapUI, GitHub Cloud & DevOps: Docker, Kubernetes, Jenkins, Git, CI/CD pipelines SOFT SKILLS Excellent verbal and written communication skills.
Strong problem-solving and analytical mindset.
Ability to mentor, coach, and lead junior team members.
Comfortable collaborating across global, cross-functional teams.
Highly organized and detail oriented.
Passion for innovation and continuous learning.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $101,000.00
- $152,000.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
- Thurs | Remote: Mon & Fri JOB SUMMARY We are seeking a seasoned Senior SAP Integration Developer with deep expertise in SAP Cloud Platform Integration (CPI), SAP Integration Suite, SAP Business Technology Platform (BTP), and Advanced Event Mesh.
In this role, you’ll design, develop, and maintain scalable integration solutions that bridge cloud and on-premise applications across global enterprise environments.
You will also be instrumental in mentoring junior developers and driving best practices for integration design, security, and performance.
Job Description MAJOR RESPONSIBILITIES Design, develop, and deploy complex integration flows using SAP BTP Integration Suite, CPI, and Advanced Event Mesh.
Build and manage synchronous and asynchronous interfaces between cloud and on-premise systems.
Configure and administer SAP BTP environments including connectivity (Cloud Connector), security roles, and API provisioning.
Leverage SAP Integration Suite components such as API Management, Open Connectors, CPI-DS, and SAP Event Mesh.
Configure and manage Solace messaging infrastructure – topics, queues, durable/non-durable subscriptions.
Migrate existing integrations from legacy platforms (e.g., SAP PI) to SAP Integration Suite.
Work on API-first integration designs, building secure, scalable APIs using REST/SOAP standards.
Monitor and troubleshoot integration issues using SAP Solution Manager, CPI Monitoring Dashboards, and SAP BTP Admin tools.
Collaborate with cross-functional teams to gather business requirements and translate them into technical designs.
Guide junior developers and lead technical knowledge transfer sessions.
Optimize existing integrations for performance, maintainability, and error handling.
Participate in Agile/Scrum ceremonies and lead initiatives for continuous improvement.
Interface with tools like ElasticSearch, Splunk for monitoring and logging integration behavior.
Support production instance and on call issue resolution MINIMUM JOB REQUIREMENTS Education Bachelor’s degree in computer science, IT, or related discipline.
Work Experience: 4+ years of hands-on software development experience in SAP BTP, SAP Integration Suite, and SAP CPI.
Strong background in ABAP development (especially with IDOCs, BAPI, RFC, ALE).
Extensive hands-on experience with REST/SOAP web services, XML, JSON, XSLT, and mapping/transformation logic.
Deep understanding of SAP PI/PO architecture and migration best practices.
Hands-on experience with Advanced Event Mesh.
Proficiency in at least one of the following: Java, Groovy, Python.
Experience with SAP Fiori and S/4HANA integration scenarios.
Proficiency in OAuth, SAML, SSL, and other authentication/authorization protocols.
Familiarity with SQL and working knowledge of SAP HANA, Oracle, or other relational databases.
Preferred Qualifications 8+ years of experience in SAP integration development.
SAP certifications in Integration Suite, BTP, or Cloud Platform Integration.
Experience with DevOps tools like Git, Jenkins, Docker, Kubernetes, CI/CD pipelines.
Knowledge of cloud infrastructure platforms (AWS, Azure, GCP).
Experience with event-driven architecture and microservices.
Familiarity with Agile development practices and project management tools (JIRA, Confluence).
Prior exposure to SAP Open Connectors, Graph API, and CAPM (Cloud Application Programming Model).
TECHNICAL SKILLS Integration Tools: SAP CPI, SAP PI/PO, SAP BTP, SAP API Management, SAP Event Mesh, Cloud Connector Languages: Java, ABAP, Groovy, Python, JavaScript, XML/XSLT Protocols: REST, SOAP, IDOC, OData, RFC, BAPI, SFTP, HTTP Platforms: SAP S/4HANA, SAP ECC, SAP Fiori, SAP HANA Tools: Eclipse, NetWeaver Developer Studio, Postman, SoapUI, GitHub Cloud & DevOps: Docker, Kubernetes, Jenkins, Git, CI/CD pipelines SOFT SKILLS Excellent verbal and written communication skills.
Strong problem-solving and analytical mindset.
Ability to mentor, coach, and lead junior team members.
Comfortable collaborating across global, cross-functional teams.
Highly organized and detail oriented.
Passion for innovation and continuous learning.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $101,000.00
- $152,000.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
M
Sr Platform Engineer
🏢 Medline Industries - Transportation & Operations
Salary not disclosed
Job Summary Job Description JOB SUMMARY Medline Industries is seeking a Senior Platform Engineer to join our Platform Engineering team.
As a Senior Platform Engineer, you will lead the design, development, and maintenance of internal platforms and technical solutions that empower software development and operations teams to deliver applications and infrastructure efficiently and reliably.
You’ll apply DevOps principles to accelerate software delivery, foster cross-functional collaboration, and drive quality through automation and continuous improvement.
In this senior-level role, you’ll take ownership of strategic initiatives, mentor junior engineers, and manage complex projects from planning through execution.
You’ll work closely with developers, architects, and operations teams to ensure platforms are scalable, secure, and optimized for performance—while continuously driving innovation and automation across the organization.
MAJOR RESPONSIBILITIES
- Architect, design, and implement cloud-native platform solutions using modern infrastructure-as-code and automation platforms
- Build and maintain CI/CD pipelines and developer self-service platforms.
- Develop abstraction layers and APIs to simplify platform complexity for development teams.
- Implement and manage container orchestration systems (e.g., Kubernetes, Docker).
- Ensure platform security, compliance, and data protection through automated controls and monitoring.
- Collaborate with development teams to understand workflow requirements and deliver tailored platform capabilities.
- Develop and maintain comprehensive monitoring, logging, and observability solutions.
- Document platform architectures, processes, and best practices for internal use.
- Evaluate and integrate new technologies to enhance platform capabilities and developer experience.
- Provide technical support and guidance to Platform Operations and stakeholders
- Participate in incident response, troubleshooting, and root cause analysis for platform-related issues.
- Contribute to platform strategy and roadmap, aligning with organizational goals.
- Mentor and coach junior engineers, providing technical guidance and support for professional development.
- Track team goals, key projects, and deliverables, ensuring alignment with organizational objectives.
- Assist with project management and coordination of key initiatives.
MINIMUM JOB REQUIREMENTS Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Certification / Licensure
- Relevant certifications (e.g., AWS/Azure/GCP Professional, CKA, Terraform Associate) preferred but not required.
Work Experience
- Minimum of 7 years of experience in Platform Engineering, DevOps, or Software Engineering or related fields.
- Experience designing and managing large-scale, enterprise-grade platforms.
Knowledge / Skills / Abilities
- Strong expertise in cloud platforms (AWS, Azure, GCP).
- Proficiency in infrastructure-as-code and configuration management tools.
- Advanced scripting skills (Python, Go, Bash).
- Experience with containerization and orchestration (Kubernetes, Docker).
- Deep understanding of CI/CD pipelines and developer platform concepts.
- Knowledge of security best practices and compliance frameworks.
- Experience with monitoring, logging, and observability tools.
- Ability to design scalable, reliable, and secure platform architectures.
- Excellent troubleshooting and problem-solving skills.
- Strong communication and documentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience mentoring and coaching junior engineers.
- Experience tracking team goals, projects, and supporting project management.
PREFERRED JOB REQUIREMENTS Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field Certification / Licensure
- Advanced certifications in cloud, DevOps, or platform engineering (e.g., AWS/Azure/GCP Professional, CKA, CKAD).
Work Experience
- 10+ years of experience in Platform Engineering, DevOps, Software Engineering or related fields.
- Experience designing and managing large-scale, enterprise-grade platforms.
Knowledge / Skills / Abilities
- Experience with AI/ML operations and MLOps platforms.
- Knowledge of service mesh technologies (Istio, Linkerd).
- Expertise in cloud-native security tools and practices.
- Experience with platform engineering frameworks (e.g., Backstage).
- Experience with chaos engineering and resilience testing.
- Proven ability to drive platform innovation and adoption across teams.
- Experience mentoring junior engineers and leading technical initiatives.
- Demonstrated project management and leadership skills.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $132,600.00
- $199,160.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
As a Senior Platform Engineer, you will lead the design, development, and maintenance of internal platforms and technical solutions that empower software development and operations teams to deliver applications and infrastructure efficiently and reliably.
You’ll apply DevOps principles to accelerate software delivery, foster cross-functional collaboration, and drive quality through automation and continuous improvement.
In this senior-level role, you’ll take ownership of strategic initiatives, mentor junior engineers, and manage complex projects from planning through execution.
You’ll work closely with developers, architects, and operations teams to ensure platforms are scalable, secure, and optimized for performance—while continuously driving innovation and automation across the organization.
MAJOR RESPONSIBILITIES
- Architect, design, and implement cloud-native platform solutions using modern infrastructure-as-code and automation platforms
- Build and maintain CI/CD pipelines and developer self-service platforms.
- Develop abstraction layers and APIs to simplify platform complexity for development teams.
- Implement and manage container orchestration systems (e.g., Kubernetes, Docker).
- Ensure platform security, compliance, and data protection through automated controls and monitoring.
- Collaborate with development teams to understand workflow requirements and deliver tailored platform capabilities.
- Develop and maintain comprehensive monitoring, logging, and observability solutions.
- Document platform architectures, processes, and best practices for internal use.
- Evaluate and integrate new technologies to enhance platform capabilities and developer experience.
- Provide technical support and guidance to Platform Operations and stakeholders
- Participate in incident response, troubleshooting, and root cause analysis for platform-related issues.
- Contribute to platform strategy and roadmap, aligning with organizational goals.
- Mentor and coach junior engineers, providing technical guidance and support for professional development.
- Track team goals, key projects, and deliverables, ensuring alignment with organizational objectives.
- Assist with project management and coordination of key initiatives.
MINIMUM JOB REQUIREMENTS Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Certification / Licensure
- Relevant certifications (e.g., AWS/Azure/GCP Professional, CKA, Terraform Associate) preferred but not required.
Work Experience
- Minimum of 7 years of experience in Platform Engineering, DevOps, or Software Engineering or related fields.
- Experience designing and managing large-scale, enterprise-grade platforms.
Knowledge / Skills / Abilities
- Strong expertise in cloud platforms (AWS, Azure, GCP).
- Proficiency in infrastructure-as-code and configuration management tools.
- Advanced scripting skills (Python, Go, Bash).
- Experience with containerization and orchestration (Kubernetes, Docker).
- Deep understanding of CI/CD pipelines and developer platform concepts.
- Knowledge of security best practices and compliance frameworks.
- Experience with monitoring, logging, and observability tools.
- Ability to design scalable, reliable, and secure platform architectures.
- Excellent troubleshooting and problem-solving skills.
- Strong communication and documentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience mentoring and coaching junior engineers.
- Experience tracking team goals, projects, and supporting project management.
PREFERRED JOB REQUIREMENTS Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field Certification / Licensure
- Advanced certifications in cloud, DevOps, or platform engineering (e.g., AWS/Azure/GCP Professional, CKA, CKAD).
Work Experience
- 10+ years of experience in Platform Engineering, DevOps, Software Engineering or related fields.
- Experience designing and managing large-scale, enterprise-grade platforms.
Knowledge / Skills / Abilities
- Experience with AI/ML operations and MLOps platforms.
- Knowledge of service mesh technologies (Istio, Linkerd).
- Expertise in cloud-native security tools and practices.
- Experience with platform engineering frameworks (e.g., Backstage).
- Experience with chaos engineering and resilience testing.
- Proven ability to drive platform innovation and adoption across teams.
- Experience mentoring junior engineers and leading technical initiatives.
- Demonstrated project management and leadership skills.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $132,600.00
- $199,160.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
J
Senior ML Solution Architect
🏢 Jobot
Salary not disclosed
Opportunity to join the industries top AI Consulting firm // Working with the world’s top brands to execute data initiatives in artificial intelligence // FULLY REMOTE This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team.
This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack.
The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers.
This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued.
Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design and build robust and scalable ML solutions to meet business requirements.
Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production.
Develop and maintain data pipelines for large scale data processing.
Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation.
Implement best practices for ML development, including testing, documentation, and version control.
Collaborate with cross-functional teams to understand their needs and translate them into ML solutions.
Provide consulting services to internal and external stakeholders on ML best practices and solutions.
Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models.
Implement and manage CI/CD pipelines for ML solutions.
Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate.
Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
Minimum 5 years of experience in designing and implementing ML solutions.
Strong programming skills in Python and Scala.
Experience with data pipeline tools such as Spark and Snowflake.
Proven experience in consulting, with excellent communication and problem-solving skills.
Experience with infrastructure management tools such as Terraform and Docker.
Experience in setting up and managing CI/CD pipelines.
Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations.
Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges.
Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Self-motivated and proactive, with the ability to work independently and as part of a team.
Strong desire to learn and stay updated with the latest advancements in the field of ML.
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: $150,000
- $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team.
This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack.
The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers.
This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued.
Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design and build robust and scalable ML solutions to meet business requirements.
Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production.
Develop and maintain data pipelines for large scale data processing.
Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation.
Implement best practices for ML development, including testing, documentation, and version control.
Collaborate with cross-functional teams to understand their needs and translate them into ML solutions.
Provide consulting services to internal and external stakeholders on ML best practices and solutions.
Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models.
Implement and manage CI/CD pipelines for ML solutions.
Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate.
Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
Minimum 5 years of experience in designing and implementing ML solutions.
Strong programming skills in Python and Scala.
Experience with data pipeline tools such as Spark and Snowflake.
Proven experience in consulting, with excellent communication and problem-solving skills.
Experience with infrastructure management tools such as Terraform and Docker.
Experience in setting up and managing CI/CD pipelines.
Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations.
Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges.
Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Self-motivated and proactive, with the ability to work independently and as part of a team.
Strong desire to learn and stay updated with the latest advancements in the field of ML.
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 AI Engineer
🏢 Jobot
Salary not disclosed
NEW Machine Learning AI Engineer Opportunity! This Jobot Job is hosted by: Audrey Block Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $125,000
- $145,000 per year A bit about us: We are looking for a Machine Learning AI Engineer to join the team! Why join us? HUGE Opportunity for growth Base salary + Equity Team events Lunch, gym membership, Fun Fridays Flexible schedule Job Details Job Details: We are looking for a Machine Learning AI Engineer to join our startup.
This is a permanent, full-time position requiring a minimum of 1 year of experience in the field.
Responsibilities: 1.
Design, develop and implement advanced AI models and algorithms.
2.
Utilize programming languages such as Golang and Rust to develop AI systems.
3.
Use container orchestration tools to manage and automate deployments, scaling and management of containerized applications.
4.
Develop and maintain Docker containers for deployment of AI applications.
5.
Work closely with the software development team to integrate AI models into desktop software applications.
6.
Collaborate with the OpenAI team to develop and implement cutting-edge AI technologies.
7.
Use the LLM (Language Model) to train AI models and improve their performance.
8.
Conduct regular testing to ensure the performance and reliability of AI systems.
9.
Keep up-to-date with the latest industry trends and technologies to ensure our AI systems remain competitive.
10.
Collaborate with cross-functional teams to understand needs and devise possible solutions.
Qualifications: 1.
Bachelor's degree in Computer Science, Engineering, or a related field.
A Master's degree or PhD would be advantageous.
2.
Minimum of 1 year of experience in a similar role.
3.
Strong knowledge of programming languages such as Rust and Python.
4.
Extensive experience with container orchestration tools and Docker.
5.
Proven experience in AI, machine learning, NLP and deep learning.
6.
Familiarity with desktop software development.
7.
Experience with OpenAI and LLM.
8.
Excellent problem-solving skills and the ability to think creatively.
9.
Strong communication skills, with the ability to explain complex concepts to non-technical team members.
10.
Ability to work effectively as part of a team, as well as independently.
11.
Passion for technology and a desire to stay up-to-date with the latest industry trends.
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: $125,000
- $145,000 per year A bit about us: We are looking for a Machine Learning AI Engineer to join the team! Why join us? HUGE Opportunity for growth Base salary + Equity Team events Lunch, gym membership, Fun Fridays Flexible schedule Job Details Job Details: We are looking for a Machine Learning AI Engineer to join our startup.
This is a permanent, full-time position requiring a minimum of 1 year of experience in the field.
Responsibilities: 1.
Design, develop and implement advanced AI models and algorithms.
2.
Utilize programming languages such as Golang and Rust to develop AI systems.
3.
Use container orchestration tools to manage and automate deployments, scaling and management of containerized applications.
4.
Develop and maintain Docker containers for deployment of AI applications.
5.
Work closely with the software development team to integrate AI models into desktop software applications.
6.
Collaborate with the OpenAI team to develop and implement cutting-edge AI technologies.
7.
Use the LLM (Language Model) to train AI models and improve their performance.
8.
Conduct regular testing to ensure the performance and reliability of AI systems.
9.
Keep up-to-date with the latest industry trends and technologies to ensure our AI systems remain competitive.
10.
Collaborate with cross-functional teams to understand needs and devise possible solutions.
Qualifications: 1.
Bachelor's degree in Computer Science, Engineering, or a related field.
A Master's degree or PhD would be advantageous.
2.
Minimum of 1 year of experience in a similar role.
3.
Strong knowledge of programming languages such as Rust and Python.
4.
Extensive experience with container orchestration tools and Docker.
5.
Proven experience in AI, machine learning, NLP and deep learning.
6.
Familiarity with desktop software development.
7.
Experience with OpenAI and LLM.
8.
Excellent problem-solving skills and the ability to think creatively.
9.
Strong communication skills, with the ability to explain complex concepts to non-technical team members.
10.
Ability to work effectively as part of a team, as well as independently.
11.
Passion for technology and a desire to stay up-to-date with the latest industry trends.
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
V
Software Engineer Lead
🏢 V2Soft
Salary not disclosed
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998.
We have headquarteerd in Bloomfiled Hills, MI and have 16 offices spread across six countries.
We partner with Fortune 500 companies to address complex business challenges.
Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more.
Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security.
Beyond our work, we actively support local communities and non-profits, reflecting our core values.
Join us to be part of a dynamic and impactful global company! Please visit us at to know more .
Must Have Skills: Kafka Java / J2EE technologies Apache basics Strong knowledge of Spring Boot, Spring Cloud, Hibernate, REST APIs.
Experience building REST APIs using Spring Boot Experience with Spring Data/Spring Data JPA for connecting to and reading from databases via APIs Experience writing unit tests using JUnit/Spock Familiarity with CI/CD pipelines using Jenkins Familiarity with SQL/NoSQL databases Nice to Have Skills: Knowledge of REST APIs DevOps and Deployment Familiarity with Docker and Kubernetes for containerized deployment Using CI/CD pipelines such as GitHub Actions, Jenkins, GitLab CI Knowledge of Apache Flink or KSQLDB for alternative stream processing Knowledge of Docker, OpenShift Education: Bachelor’s or relevant experience will be considered.
V2Soft is an Equal Opportunity Employer ( EOE).
We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
to view all of our open opportunities and to learn more about our benefits.
We have headquarteerd in Bloomfiled Hills, MI and have 16 offices spread across six countries.
We partner with Fortune 500 companies to address complex business challenges.
Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more.
Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security.
Beyond our work, we actively support local communities and non-profits, reflecting our core values.
Join us to be part of a dynamic and impactful global company! Please visit us at to know more .
Must Have Skills: Kafka Java / J2EE technologies Apache basics Strong knowledge of Spring Boot, Spring Cloud, Hibernate, REST APIs.
Experience building REST APIs using Spring Boot Experience with Spring Data/Spring Data JPA for connecting to and reading from databases via APIs Experience writing unit tests using JUnit/Spock Familiarity with CI/CD pipelines using Jenkins Familiarity with SQL/NoSQL databases Nice to Have Skills: Knowledge of REST APIs DevOps and Deployment Familiarity with Docker and Kubernetes for containerized deployment Using CI/CD pipelines such as GitHub Actions, Jenkins, GitLab CI Knowledge of Apache Flink or KSQLDB for alternative stream processing Knowledge of Docker, OpenShift Education: Bachelor’s or relevant experience will be considered.
V2Soft is an Equal Opportunity Employer ( EOE).
We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
to view all of our open opportunities and to learn more about our benefits.
Not Specified
J
AI Architect
🏢 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: $200,000
- $240,000 per year A bit about us: As a global leader in infrastructure and professional services, we are committed to delivering a better world.
Powered by deep technical expertise, our teams solve complex challenges across water, environment, energy, transportation, and buildings.
We partner with both public- and private-sector clients to create innovative, sustainable, and resilient solutions throughout the project lifecycle—from advisory, planning, design, and engineering to program and construction management.
Why join us? We are proud to offer comprehensive benefits designed to meet the diverse needs of our employees.
Depending on employment status, benefits may include medical, dental, vision, life, AD&D, disability coverage, paid time off, leaves of absence, voluntary benefits, perks, flexible work options, well-being resources, an employee assistance program, business travel insurance, service recognition awards, retirement savings plans, and an employee stock purchase plan.
Job Details Job Description We are seeking an experienced AI Architect to lead the design, development, and deployment of enterprise-grade AI solutions that transform operations across a global consulting environment.
This role is pivotal in shaping the technical architecture for GenAI, ML, and agentic AI systems, ensuring scalability, security, and alignment with business objectives.
The ideal candidate will bring deep expertise in AI systems, frameworks, and enterprise integration, along with a proven track record of delivering impactful AI solutions in complex organizational settings.
Why Join Us? This is a high-visibility opportunity to influence how AI is embedded across global operations.
You’ll work at the intersection of architecture, innovation, and enterprise value creation—helping to shape both near-term solutions and long-term strategy.
This position offers a hybrid work model, with flexibility to be based in Dallas or Houston, TX.
Key Responsibilities AI Architecture & Strategy Define and maintain architecture for GenAI, LLMs, RAG pipelines, and autonomous agent systems.
Design and implement agent orchestration workflows and agentic frameworks.
Evaluate and select AI/Agentic tools, frameworks, and platforms (e.g., LangChain, Semantic Kernel, Vertex AI, Azure OpenAI, AWS Bedrock, LangGraph, CrewAI).
Align architectural decisions with enterprise performance metrics including latency, security, cost, and explainability.
Assess emerging AI technologies and recommend adoption where appropriate.
Design scalable, modular, and observable architectures aligned with business and data strategy.
Serve as a key stakeholder in shaping the enterprise AI roadmap.
Solution Design Collaborate with data architects, scientists, enterprise architecture, security, AI product managers, and business stakeholders.
Guide proof-of-concept development and prototype evaluations to validate architecture decisions.
Provide architecture reviews, mentorship, and feedback to AI engineering teams.
Lead structured build-vs-buy evaluations and influence platform roadmap decisions.
Governance & Compliance Embed responsible AI principles, privacy, and governance frameworks into AI design.
Ensure AI solutions comply with enterprise standards, security policies, and regulatory requirements.
Partner with governance, security, and compliance teams to implement transparency, monitoring, and auditability.
Qualifications Technical Experience BA/BS degree and 10+ years of relevant architecture experience, or equivalent combination of education and experience.
4+ years of experience in ML or AI systems design and architecture.
Proven expertise designing and deploying enterprise-grade GenAI, RAG models, agentic AI, and ML pipelines.
Working knowledge of interoperability protocols (e.g., Model Context Protocol, Agent-to-Agent communication).
Hands-on experience with agentic frameworks (LangChain, Azure AI Agent Services, n8n, Autogen, etc.).
Familiarity with AI Gateway implementation for enforcing guardrails, monitoring, and centralized model access.
3+ years of experience building AI solutions in AWS (or equivalent cloud).
Ability to build AI POCs and design for enterprise-scale production.
Leadership & Collaboration Strong collaboration and communication skills, with the ability to influence executive leadership.
Proven track record leading cross-functional teams, including engineers and product managers.
Demonstrated ability to stay on top of emerging AI trends and best practices.
Preferred Qualifications Understanding of MLOps and DevOps practices (CI/CD for models, observability, rollback).
Experience with CI/CD pipelines using YML, AWS CloudFormation, Terraform.
Proficiency with Kubernetes, Docker, and containerized deployment.
Strong programming skills in C#, Python, JavaScript, JSON.
Experience with Azure DevOps for recording/tracking Epics, Features, and User Stories.
Intellectual curiosity and commitment to continuous learning in AI/ML.
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: $200,000
- $240,000 per year A bit about us: As a global leader in infrastructure and professional services, we are committed to delivering a better world.
Powered by deep technical expertise, our teams solve complex challenges across water, environment, energy, transportation, and buildings.
We partner with both public- and private-sector clients to create innovative, sustainable, and resilient solutions throughout the project lifecycle—from advisory, planning, design, and engineering to program and construction management.
Why join us? We are proud to offer comprehensive benefits designed to meet the diverse needs of our employees.
Depending on employment status, benefits may include medical, dental, vision, life, AD&D, disability coverage, paid time off, leaves of absence, voluntary benefits, perks, flexible work options, well-being resources, an employee assistance program, business travel insurance, service recognition awards, retirement savings plans, and an employee stock purchase plan.
Job Details Job Description We are seeking an experienced AI Architect to lead the design, development, and deployment of enterprise-grade AI solutions that transform operations across a global consulting environment.
This role is pivotal in shaping the technical architecture for GenAI, ML, and agentic AI systems, ensuring scalability, security, and alignment with business objectives.
The ideal candidate will bring deep expertise in AI systems, frameworks, and enterprise integration, along with a proven track record of delivering impactful AI solutions in complex organizational settings.
Why Join Us? This is a high-visibility opportunity to influence how AI is embedded across global operations.
You’ll work at the intersection of architecture, innovation, and enterprise value creation—helping to shape both near-term solutions and long-term strategy.
This position offers a hybrid work model, with flexibility to be based in Dallas or Houston, TX.
Key Responsibilities AI Architecture & Strategy Define and maintain architecture for GenAI, LLMs, RAG pipelines, and autonomous agent systems.
Design and implement agent orchestration workflows and agentic frameworks.
Evaluate and select AI/Agentic tools, frameworks, and platforms (e.g., LangChain, Semantic Kernel, Vertex AI, Azure OpenAI, AWS Bedrock, LangGraph, CrewAI).
Align architectural decisions with enterprise performance metrics including latency, security, cost, and explainability.
Assess emerging AI technologies and recommend adoption where appropriate.
Design scalable, modular, and observable architectures aligned with business and data strategy.
Serve as a key stakeholder in shaping the enterprise AI roadmap.
Solution Design Collaborate with data architects, scientists, enterprise architecture, security, AI product managers, and business stakeholders.
Guide proof-of-concept development and prototype evaluations to validate architecture decisions.
Provide architecture reviews, mentorship, and feedback to AI engineering teams.
Lead structured build-vs-buy evaluations and influence platform roadmap decisions.
Governance & Compliance Embed responsible AI principles, privacy, and governance frameworks into AI design.
Ensure AI solutions comply with enterprise standards, security policies, and regulatory requirements.
Partner with governance, security, and compliance teams to implement transparency, monitoring, and auditability.
Qualifications Technical Experience BA/BS degree and 10+ years of relevant architecture experience, or equivalent combination of education and experience.
4+ years of experience in ML or AI systems design and architecture.
Proven expertise designing and deploying enterprise-grade GenAI, RAG models, agentic AI, and ML pipelines.
Working knowledge of interoperability protocols (e.g., Model Context Protocol, Agent-to-Agent communication).
Hands-on experience with agentic frameworks (LangChain, Azure AI Agent Services, n8n, Autogen, etc.).
Familiarity with AI Gateway implementation for enforcing guardrails, monitoring, and centralized model access.
3+ years of experience building AI solutions in AWS (or equivalent cloud).
Ability to build AI POCs and design for enterprise-scale production.
Leadership & Collaboration Strong collaboration and communication skills, with the ability to influence executive leadership.
Proven track record leading cross-functional teams, including engineers and product managers.
Demonstrated ability to stay on top of emerging AI trends and best practices.
Preferred Qualifications Understanding of MLOps and DevOps practices (CI/CD for models, observability, rollback).
Experience with CI/CD pipelines using YML, AWS CloudFormation, Terraform.
Proficiency with Kubernetes, Docker, and containerized deployment.
Strong programming skills in C#, Python, JavaScript, JSON.
Experience with Azure DevOps for recording/tracking Epics, Features, and User Stories.
Intellectual curiosity and commitment to continuous learning in AI/ML.
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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