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Full Stack Devops Engineer Jobs in California (NOW HIRING)

Java Full Stack Developer

San Jose, CA · On-site

$61.50 - $79.50/hr

Java Full Stack Developer Job Location: San Jose, CA Job Type: Contract * 8+ yr experience ... Understanding of Agile methodologies and DevOps practices * Knowledge of unit testing frameworks ...

... operations with full situational awareness. An embedded AI teammate serves as every operator ... Why You Would Be a Good Fit You are a full-stack engineer who takes pride in shipping features that ...

Full Stack Developer

Menlo Park, CA · On-site

$60 - $74/hr

Title: Full Stack Developer Location: Menlo Park, CA Duration: 12 months + Compensation: $60-74/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Summary: The main ...

As a full-stack developer, you would touch nearly every aspect of our business and work in cross ... MS in Computer Science or equivalent education/experience. * DevOps and CI/CD experience.

Full Stack Developer

Palo Alto, CA · On-site +1

$110K - $160K/yr

As a full-stack developer, you would touch nearly every aspect of our business and work in cross ... MS in Computer Science or equivalent education/experience. * DevOps and CI/CD experience.

Full Stack Developer Location: San Ramon, CA Duration: 6 Months Fullstack developer Front end : Java script, html, CSS, any JavaScript libraries Should be good in java Back end : Oracle Responsive ...

AI Full Stack Architect Location: San Jose, CA Duration: 12 Months Job Summary We are looking for a ... Cloud/DevOps: Experience in Cloud platforms (AWS, Google Cloud Platform, Azure) and container ...

We are looking for an experienced and passionate Full Stack Developer to join the EyeUniversal team. The focus would be using well known languages such as PHP (using laravel.com framework , etc ...

We are looking for an experienced and passionate Full Stack Developer to join the EyeUniversal team. The focus would be using well known languages such as PHP (using laravel.com framework , etc ...

DevOps Engineer

San Jose, CA

$61.75 - $84.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Devops engineer to support the devops platform which includes * Java ...

Position Overview We are seeking a Full Stack Developer to help build and maintain our cloud infrastructure and web applications. This role requires expertise in modern web technologies and a strong ...

Senior Full Stack Engineer Job Details * Senior Full Stack Engineer (Contract) * Location: San Jose ... Familiarity with version control systems (Git), Agile methodologies, and DevOps practices.

... Software Engineer, or similar role, including designing, developing, testing, and deploying ... DevOps practices. • Experience working in an Agile development environment. • Analytical ...

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Full Stack Devops Engineer information

See California salary details

$43.9K

$133K

$188K

How much do full stack devops engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for full stack devops engineer in California is $133,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $155,900.00 per year, depending on experience, location, and employer.
What job categories do people searching Full Stack Devops Engineer jobs in California look for? The top searched job categories for Full Stack Devops Engineer jobs in California are:
Infographic showing various Full Stack Devops Engineer job openings in California as of May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $133,006 per year, or $63.9 per hour.

AI Full Stack Developer & Architect

SBT Global, Inc.

San Jose, CA • On-site

$19K/mo

Contractor

Posted 17 days ago


Job description

Company Description
1 Yr Contract
Onsite
Mid- Level Pay Rate: ~$13,975/mo DOE
Sr. Level Pay Rate: ~$19,260/mo DOE
We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.
Job Description
  • AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
  • ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.
  • Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
  • Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.
  • MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.
  • Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.
  • Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.

Qualifications
Required Qualifications & Skills
  • Experience: Proven experience(5~8 yrs. for Middle Level & 9+ yrs. for Sr. Level) as a Full Stack Developer with specialized experience in AI model deployment.
  • Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.
  • Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
  • AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
  • Cloud/DevOps: Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications
  • Experience with generative AI and agentic architectures.
  • Understanding of data privacy and security in AI applications.
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Additional Information
All your information will be kept confidential according to EEO guidelines.