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Support Developer Jobs in Santa Rosa, CA (NOW HIRING)

DevOps Engineer (Founding Team)

Bodega Bay, CA ยท On-site

$62.50 - $85.75/hr

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 ...

Provide on call support for production systems * Experience with database application development ... Lead the and mentor less experienced developers and assist them with issues and questions Job ...

Engineering Technician Automation Pay Rate or Salary Range: $32 - $45 /hr. DOE Benefits include ... Maintaining and supporting updates to our existing automated mechatronics test lines and provide ...

Software Engineering Manager

Bodega Bay, CA ยท Remote

$150K - $190K/yr

Conduct performance reviews, set goals, and support engineers in career development * Implement a structured performance management process, including frequent check-ins and quarterly reviews, based ...

Software Engineering Manager

Bodega Bay, CA ยท Remote

$150K - $190K/yr

Conduct performance reviews, set goals, and support engineers in career development * Implement a structured performance management process, including frequent check-ins and quarterly reviews, based ...

CCS Developer

Bodega Bay, CA ยท On-site

$67 - $83.25/hr

Job Title: CCS Developer Job Location: San Francisco Bay Area, California Job Type: Contract ... Provide technical support and troubleshooting for Oracle Utilities applications. * Collaborate with ...

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How much do support developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for support developer in Santa Rosa, CA is $73.59, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $87.50 per hour, depending on experience, location, and employer.

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

To thrive as a Support Developer, you need a solid understanding of programming languages, debugging techniques, and problem-solving skills, often backed by a degree in computer science or a related field. Familiarity with ticketing systems, version control tools like Git, and experience with databases or APIs are typically required. Strong communication, patience, and teamwork are vital soft skills for collaborating with users and internal teams. These skills are crucial for efficiently resolving technical issues, maintaining software reliability, and ensuring high customer satisfaction.

What jobs in the US pay 300,000 a year?

Support developers typically do not earn $300,000 annually; such high salaries are more common in executive, specialized technical, or senior management roles. High-paying tech jobs like software engineers, data scientists, and IT directors can reach or exceed this level with extensive experience, advanced skills, and often in leadership positions. Compensation varies based on industry, location, and company size, with some senior roles in finance or consulting also reaching this threshold.

What engineers make $500,000?

Senior software engineers, especially those with expertise in high-demand areas like machine learning, cloud computing, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. These roles typically require extensive experience, advanced skills, and work at large tech companies or successful startups.

What is a support developer?

A support developer is a technical professional who assists users and clients by troubleshooting software issues, providing technical support, and resolving bugs. They often work with customer service teams, use debugging tools, and have knowledge of programming languages to maintain and improve software systems.

How does a Support Developer typically collaborate with other teams to resolve customer issues quickly?

Support Developers work closely with both the customer support and core engineering teams to address technical issues reported by clients. They often act as a bridge, translating customer feedback into actionable bug reports or feature requests, and may participate in daily stand-ups or cross-team meetings to prioritize urgent tickets. Effective communication and a problem-solving mindset are key, as Support Developers must balance customer needs with internal development timelines. This collaborative environment not only helps resolve issues faster but also provides opportunities to learn from various technical experts within the organization.

What job makes $10,000 a month without a degree?

Support developers typically do not earn $10,000 a month without extensive experience or specialized skills. High-paying tech roles such as software engineers, cloud architects, or cybersecurity specialists can reach that level, often requiring technical certifications, strong problem-solving skills, and continuous learning. Freelance or consulting work in IT and software development can also generate high income without a formal degree, but success depends on expertise and reputation.
What cities near Santa Rosa, CA are hiring for Support Developer jobs? Cities near Santa Rosa, CA with the most Support Developer job openings:
Infographic showing various Support Developer job openings in Santa Rosa, CA as of June 2026, with employment types broken down into 48% Full Time, 28% Part Time, 3% Temporary, and 21% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $153,066 per year, or $73.6 per hour.

DevOps Engineer (Founding Team)

Fabrion

Bodega Bay, CA โ€ข On-site

$62.50 - $85.75/hr

Full-time

Posted 4 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 industryโ€™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 โ€” 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 โ€” automating everything from CI/CD and observability to cloud governance and security. Youโ€™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 โ€” fast, secure, reliable, and explainable โ€” 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 Weโ€™re Looking For

Core Experience:

  • 4โ€“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 โ€” you donโ€™t wait for alerts to fix things

  • Comfortable collaborating with backend, AI, and data teams

Bonus: Agent-Native / ML Ops Capabilities

  • Weโ€™re building an agentic, AI-native platform from the ground up. Experience here isnโ€™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 โ€” 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 โ†’ insight โ†’ response via LLM)

Why This Role Matters

DevOps is the nervous system of the platform โ€” 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 โ€” and you want your work to have immediate real-world impact โ€” weโ€™d love to hear from you.