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Devops Engineer Jobs in Santa Rosa, CA (NOW HIRING)

DevOps Engineer (Founding Team)

Bodega Bay, CA · On-site

$62.50 - $85.75/hr

DevOps Engineer (Founding Team) Location: San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + meaningful equity (founding tier) Backed by 8VC, we're building a world-class team ...

Software Engineer, DevOps

Bodega Bay, CA · On-site

$135K - $225K/yr

Who you are We are seeking an experienced DevOps Engineer to join our growing team and play a pivotal role in designing and building our platform and infrastructure as we continue to scale our ...

Lab Operations Engineer

Bodega Bay, CA · On-site

$103K - $201K/yr

As a Lab Operations Engineer, you will be at the center of a cross-functional lab environment responsible for keeping our high-speed measurement and test infrastructure running reliably. You will ...

Strong DevOps experience including GitHub Actions, Bamboo, SonarQube, CI/CD pipelines, and deployment automation * Experience developing responsive web applications and integrating third-party APIs ...

Strong DevOps experience including GitHub Actions, Bamboo, SonarQube, CI/CD pipelines, and deployment automation * Experience developing responsive web applications and integrating third-party APIs ...

Work with DevOps team to build out golden paths that streamline developer and builder workflows streamlining and applying shift left security policies on CI/CD deployment, internal tooling, LLM, and ...

This role partners with Operations, Engineering, Supply Chain, and IT teams to improve throughput, capacity planning, reporting, and manufacturing processes through Lean methodologies and data ...

This role partners with Operations, Engineering, Supply Chain, and IT teams to improve throughput, capacity planning, reporting, and manufacturing processes through Lean methodologies and data ...

The Operations Test Engineering team is seeking an individual with strong technical and interpersonal skills with a focus on manufacturing test solutions. You will have an active engagement with the ...

You'll be writing production code across backend and frontend, defining interfaces between components, shaping devops and data infrastructure, and helping translate abstract concepts into working ...

Champion DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability. Requirements * Minimum 8+ years of experience designing, building, and ...

Contribute to technical documentation, design reviews, and version control using GitHub and modern DevOps practices * Lead incident response and root cause analysis for critical production ...

Controls Software Engineer

Bodega Bay, CA · On-site

$53.75 - $68.50/hr

... operations. Under general supervision, the Associate Software Developer applies established software engineering principles and development methodologies to complete assigned tasks and contribute to ...

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Devops Engineer information

See Santa Rosa, CA salary details

$17

$66

$94

How much do devops engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for devops engineer in Santa Rosa, CA is $66.18, according to ZipRecruiter salary data. Most workers in this role earn between $55.43 and $75.96 per hour, depending on experience, location, and employer.

How do DevOps Engineers typically collaborate with development and operations teams on a daily basis?

DevOps Engineers act as a bridge between development and operations teams by automating workflows, facilitating communication, and ensuring smooth software deployments. On a daily basis, they work closely with developers to integrate code changes, manage CI/CD pipelines, and troubleshoot build or deployment issues. They also collaborate with IT operations to monitor system performance, address infrastructure concerns, and implement security best practices. This collaborative approach helps ensure rapid delivery of reliable software while minimizing downtime.

What are the key skills and qualifications needed to thrive as a DevOps Engineer, and why are they important?

To thrive as a DevOps Engineer, you need a solid understanding of software development, IT operations, automation, and CI/CD practices, often supported by a degree in computer science or related fields. Familiarity with tools such as Jenkins, Docker, Kubernetes, AWS/Azure, and configuration management systems like Ansible or Chef is highly valued, along with relevant certifications (e.g., AWS Certified DevOps Engineer). Strong problem-solving abilities, collaboration, and effective communication are crucial soft skills for bridging development and operations teams. These skills and qualities are important for ensuring efficient software delivery, system reliability, and seamless collaboration across the software development lifecycle.

What Is a DevOps Engineer?

As a DevOps engineer, you collaborate with the IT development and operations teams to oversee the continuous integration of software applications throughout development, deployment, and infrastructure management. Your job duties include coding, scripting, testing, managing hardware and network configurations, logging, and performing health checks. You may be responsible for managing the automation processes between development and operations, and ensuring they work together for code releases. You may use a variety of DevOps tools like Nagios, Docker, and Git.

What are DevOps Engineers?

DevOps Engineers are IT professionals who bridge the gap between software development and operations. They work to automate and streamline the software delivery process by using tools and practices that enable continuous integration, continuous delivery, and quick deployment. Their responsibilities include configuring infrastructure, monitoring systems, managing CI/CD pipelines, and ensuring reliable releases. DevOps Engineers often collaborate with developers, QA, and IT staff to ensure consistent and efficient workflows. Their goal is to improve collaboration, increase deployment speed, and maintain system reliability.
What are the most commonly searched types of Devops Engineer jobs in Santa Rosa, CA? The most popular types of Devops Engineer jobs in Santa Rosa, CA are:
What are popular job titles related to Devops Engineer jobs in Santa Rosa, CA? For Devops Engineer jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Devops Engineer jobs in Santa Rosa, CA look for? The top searched job categories for Devops Engineer jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Devops Engineer jobs? Cities near Santa Rosa, CA with the most Devops Engineer job openings:
Infographic showing various Devops Engineer job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $137,659 per year, or $66.2 per hour.

DevOps Engineer (Founding Team)

Fabrion

Bodega Bay, CA • On-site

$62.50 - $85.75/hr

Full-time

Posted 19 days ago


Job description

DevOps Engineer (Founding Team)

Location: San Francisco Bay Area

Type: Full-Time

Compensation: Competitive salary + meaningful equity (founding tier)

Backed by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems.

About the Role

We're building an AI-native, multi-tenant enterprise platform for complex domains in industrial verticals. In this architecture, DevOps isn't just about shipping features — it's about operationalizing intelligent agents, ensuring traceability across AI systems, and supporting mission-critical ML infrastructure at scale.

We're looking for a DevOps engineer who can own infrastructure from Day 1 — automating everything from CI/CD and observability to cloud governance and security. You’ll work with a highly technical team building real-time AI pipelines and multi-agent systems. If you want to be the person who makes the platform run — fast, secure, reliable, and explainable — this is your role.

Responsibilities
  • Build and maintain scalable cloud infrastructure across AWS/GCP/Azure with a focus on secure, tenant-isolated deployments

  • Own and evolve CI/CD systems (e.g. GitHub Actions, ArgoCD) with progressive rollout, testing, and rollback flows

  • Establish observability tooling across services, agents, and pipelines (OpenTelemetry, Prometheus, Grafana, Sentry)

  • Implement policy-as-code (OPA, Rego) for deployment safety, RBAC, audit logging, and approval workflows

  • Define and enforce SLAs, uptime targets (99.99%+), incident response, and remediation workflows

  • Secure infrastructure: IAM, VPC, encryption, key management, image scanning, secrets rotation

  • Automate deployments, infrastructure provisioning (Terraform, Helm), and environment replication

What We’re Looking For

Core Experience:

  • 4–10+ years in DevOps, platform engineering, or SRE in production-grade systems

  • Strong experience with Docker, Kubernetes (EKS/GKE), Terraform or Pulumi

  • Hands-on experience deploying and monitoring distributed cloud-native systems

  • Familiar with GitOps practices, CI/CD design, progressive delivery, and secure SDLC

  • Clear understanding of how to implement monitoring, alerting, and failure simulation in dynamic environments

Engineering Mindset:

  • Obsessed with reliability, latency, uptime, and repeatability

  • Security-aware and compliance-conscious

  • Proactive — you don’t wait for alerts to fix things

  • Comfortable collaborating with backend, AI, and data teams

Bonus: Agent-Native / ML Ops Capabilities

  • We’re building an agentic, AI-native platform from the ground up. Experience here isn’t required, but would be a strong differentiator:

  • Experience running LLM orchestration frameworks (e.g. LangChain, LangGraph, Dust, ReAct agents)

  • Building retrieval-augmented generation (RAG) pipelines — and deploying them safely and repeatably

  • Familiarity with vector DBs (Weaviate, Qdrant, Pinecone) and embedding pipelines

  • Monitoring and governing long-running or multi-agent chains

  • Auditability and replay systems for agent decision-making

  • Serving fine-tuned or open-source LLMs with model versioning and GPU scaling (e.g. vLLM, TGI)

  • Interest in auto-remediation using agents (e.g. observability + alert → insight → response via LLM)

Why This Role Matters

DevOps is the nervous system of the platform — every agent, every data fabric component, every pipeline flows through what you build. This is a rare opportunity to design that system early, the right way, and future-proof it for scale, compliance, and trust.

If you're excited by intelligent systems, distributed data, and deeply technical infrastructure problems — and you want your work to have immediate real-world impact — we’d love to hear from you.