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Developer Operations Engineer Intern Jobs in Santa Rosa, CA

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 ...

... & DevOps: Render, Google Cloud Platform (GCP), Docker, CI/CD pipelines • Version Control: Git, GitHub • Tooling: REST APIs, JSON Minimum Qualifications: • Currently pursuing a Bachelor's or ...

... & DevOps: Render, Google Cloud Platform (GCP), Docker, CI/CD pipelines • Version Control: Git, GitHub • Tooling: REST APIs, JSON Minimum Qualifications: • Currently pursuing a Bachelor's or ...

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 ...

Engineering Intern - Summer 2027

Santa Rosa, CA

$18.25 - $23.75/hr

Operations Engineering * Design and support manufacturing processes, procedures, and production ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

Engineering Intern - Summer 2027

Santa Rosa, CA · On-site

$18.25 - $23.75/hr

Operations Engineering * Design and support manufacturing processes, procedures, and production ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

Hanford Field Engineer Intern EQUAL OPPORTUNITY EMPLOYER/VETERANS/DISABLED SUMMARY : Provides support to the construction staff under the supervision of the Project Manager. ESSENTIAL DUTIES AND ...

Civil Engineering Intern

Windsor, CA · On-site

$19 - $25/hr

This intern will be responsible for assisting engineers, technicians, and surveyors with civil engineering projects in the following areas: * Assisting engineers, technicians, and surveyors with ...

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Developer Operations Engineer Intern information

See Santa Rosa, CA salary details

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How much do developer operations engineer intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for developer operations engineer intern in Santa Rosa, CA is $27.79, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $31.54 per hour, depending on experience, location, and employer.

What is a developer operations engineer intern?

Developer Operations Engineer Interns, often called DevOps Engineer Interns, are students or recent graduates who assist in bridging the gap between software development and IT operations. They help automate processes, manage infrastructure, and ensure efficient deployment and monitoring of applications. Interns in this role typically work with tools like CI/CD pipelines, cloud platforms, and scripting languages to support development teams and improve software delivery. This internship provides hands-on experience in both development and operations, preparing candidates for a career in DevOps.

What do developer operations engineer interns do?

As a Developer Operations Engineer Intern, you will typically work on tasks such as automating deployment pipelines, managing cloud infrastructure, monitoring system performance, and supporting CI/CD workflows. You may assist with troubleshooting build failures, writing scripts to streamline operations, and collaborating with both development and IT teams to ensure smooth software releases. This role provides hands-on experience with modern DevOps tools and practices, offering a solid foundation for a future career in site reliability or DevOps engineering.

What are the key skills and qualifications needed to thrive as a developer operations engineer intern?

To thrive as a Developer Operations Engineer Intern, you need a solid understanding of software development, basic networking, and scripting languages such as Python or Bash, typically supported by coursework or relevant experience. Familiarity with version control systems like Git, CI/CD tools (e.g., Jenkins, GitHub Actions), and cloud platforms (e.g., AWS, Azure) is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with development and operations teams. These skills ensure you can efficiently support deployment pipelines, troubleshoot issues, and contribute to reliable software delivery processes.

What is the difference between Developer Operations Engineer Intern vs Software Developer Intern?

AspectDeveloper Operations Engineer InternSoftware Developer Intern
Required skillsBasic knowledge of DevOps tools, scripting, cloud platformsProgramming languages, software development fundamentals
Work environmentCollaborates with DevOps and IT teams, focuses on deployment and automationWorks mainly on coding, testing, and application development
Industry usageCommon in tech companies with DevOps practicesWidespread across software development firms and startups

The Developer Operations Engineer Intern role focuses on automation, deployment, and infrastructure, often requiring knowledge of DevOps tools. In contrast, the Software Developer Intern primarily concentrates on coding and application development. Both roles are valuable entry points in tech companies but differ in daily tasks and skill emphasis.

What cities near Santa Rosa, CA are hiring for Developer Operations Engineer Intern jobs?

Cities near Santa Rosa, CA with the most Developer Operations Engineer Intern job openings:

DevOps Engineer (Founding Team)

Bodega Bay, CA • On-site

$62.50 - $85.75/hr

Full-time

Re-posted 5 days ago


Key responsibilities

  • Build and maintain scalable cloud infrastructure across AWS, GCP, and Azure with secure, tenant-isolated deployments

  • Own and evolve CI/CD systems, including rollout, testing, and rollback processes

  • Establish and implement observability tooling across services, agents, and pipelines


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.