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Junior Developer Operations Engineer Jobs in Windsor, 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 ...

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 ...

Junior Mechanical Engineer Pay Rate or Salary Range: $43 - $62 /hr. DOE Benefits include health, dental, and vision (following 60 days of employment) Employment Type: Contract (Long term) Schedule:

Junior Mechanical Engineer Pay Rate or Salary Range: $43 - $62 /hr. DOE Benefits include health, dental, and vision (following 60 days of employment) Employment Type: Contract (Long term) Schedule:

AI ENGINEER

Windsor, CA · On-site

$120 - $180/hr

Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions. Required Skills:Gemini EnterpriseTerraformGoogle Kubernetes Engine (GKE)Virtual ...

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Junior Developer Operations Engineer information

See Windsor, CA salary details

$26.4K

$97.7K

$151K

How much do junior developer operations engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for junior developer operations engineer in Windsor, CA is $97,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $95,500.00 per year, depending on experience, location, and employer.

What is a junior developer operations engineer?

Junior Developer Operations Engineers, often called Junior DevOps Engineers, are entry-level professionals who assist in bridging the gap between software development and IT operations. They help automate processes, manage deployment pipelines, and monitor systems to ensure reliability and efficiency. Their responsibilities typically include writing scripts, managing cloud infrastructure, troubleshooting issues, and collaborating with development and operations teams to improve workflows. As juniors, they work under the guidance of senior DevOps engineers and are often learning new tools and practices on the job.

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

To thrive as a Junior Developer Operations Engineer, you need a foundational understanding of software development, system administration, and networking, often supported by a degree in computer science or related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as basic scripting knowledge, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with software and IT teams. These skills are crucial for ensuring seamless software deployment, system reliability, and efficient team workflows.

What are some common challenges faced by junior developer operations engineers when transitioning from development or IT roles?

Junior DevOps Engineers often encounter challenges such as mastering automation tools (like Jenkins, Docker, or Ansible), adapting to rapid deployment cycles, and learning to troubleshoot complex system integrations. Additionally, the shift to a collaborative workflow—working closely with both developers and IT operations—can require developing strong communication skills and a proactive approach to problem-solving. However, these challenges provide valuable learning experiences and opportunities for growth within dynamic, cross-functional teams.

What is the difference between Junior Developer Operations Engineer vs Junior Developer DevOps Engineer?

AspectJunior Developer Operations EngineerJunior Developer DevOps Engineer
CredentialsTypically requires a degree in computer science or related field; certifications like AWS, Azure, or Linux are commonSimilar credentials; often holds certifications in cloud platforms, scripting, or automation tools
Work EnvironmentWorks in IT operations, focusing on deployment, monitoring, and infrastructure managementWorks in development and operations, emphasizing automation, CI/CD pipelines, and system integration
Employer & Industry UsageUsed in organizations with a focus on infrastructure and system stabilityCommon in tech companies emphasizing continuous integration and delivery

Both roles involve technical skills and cloud knowledge, but the Junior Developer Operations Engineer leans more towards infrastructure and system stability, while the Junior Developer DevOps Engineer emphasizes automation and integration within development pipelines.

What cities near Windsor, CA are hiring for Junior Developer Operations Engineer jobs?

Cities near Windsor, CA with the most Junior Developer Operations Engineer job openings:

Infographic showing various Junior Developer Operations Engineer job openings in Windsor, CA as of June 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,704 per year, or $47 per hour.

DevOps Engineer (Founding Team)

Fabrion

Bodega Bay, CA • On-site

$62.50 - $85.75/hr

Full-time

Re-posted 9 hours 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.