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Developer Operations Platform Engineer Jobs in Santa Clara, CA

DevOps Engineer

San Jose, CA · On-site

$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 ...

Partner with DevOps, software development, and operations teams to troubleshoot and optimize ... Required : • 5+ years of experience as a Platform Engineer, DevOps Engineer, or in a similar role ...

Define and set the development, test, release, update, and support processes for DevOps operation ... s/Platform/Infrastructure role; 2+ years of experience with software engineering * A desire to ...

Define and set the development, test, release, update, and support processes for DevOps operation ... s/Platform/Infrastructure role; 2+ years of experience with software engineering * A desire to ...

DevOps Engineer

Palo Alto, CA

$62 - $85/hr

As our platform scales, our technology must operate reliably across cloud, on-premises, and distributed environments. We are looking for a hands-on DevOps Engineer to help make that possible. This is ...

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Developer Operations Platform Engineer information

See Santa Clara, CA salary details

$38

$75

$111

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

As of Sep 10, 2026, the average hourly pay for developer operations platform engineer in Santa Clara, CA is $75.11, according to ZipRecruiter salary data. Most workers in this role earn between $59.28 and $86.68 per hour, depending on experience, location, and employer.

What cities near Santa Clara, CA are hiring for Developer Operations Platform Engineer jobs?

Cities near Santa Clara, CA with the most Developer Operations Platform Engineer job openings:

Senior DevOps Engineer / Platform Engineer

Santa Clara, CA • On-site

$152K - $196K/yr

Full-time

Re-posted 29 days ago


Job description

Overview:
Job Title: Senior DevOps Engineer / Platform Engineer
Job Location: Santa Clara, CA
Job Type: Long Term Contract
Summary
Seeking a Senior DevOps Engineer to design, build, and scale infrastructure for a site-builder/network automation platform. This role focuses on CI/CD pipelines, Kubernetes deployments, managed databases, observability, Infrastructure as Code, secrets management, and environment reproducibility across dev, test, staging, and production. The engineer will transition the platform from manual operations to a production-ready DevOps model.
Key Responsibilities
  • CI/CD & Deployment: Build and maintain pipelines, ArgoCD workflows, and Helm-based Kubernetes deployments.
  • Kubernetes & Runtime: Ensure reliability, resiliency, and troubleshooting for distributed services; define runtime requirements.
  • Infrastructure as Code: Implement declarative IaC (Terraform) for AWS services including RDS/PostgreSQL, MongoDB, Redis.
  • Data Services: Manage databases, snapshots, and restore workflows to support reproducible dev/test environments.
  • Workflow Orchestration: Deploy and support Temporal for workflow automation.
  • Observability: Implement monitoring/logging with Prometheus, Grafana, and tracing tools; define alerting and debugging practices.
  • Security & Secrets: Manage secrets rotation, credential access, and secure integrations.
  • Integrations: Support Nautobot and other service integrations with safe client-side patterns.
  • Operating Model: Define DevOps/Development collaboration, incident readiness, and environment ownership boundaries.

Qualifications
  • 7+ years in DevOps/Platform/SRE roles.
  • Strong Kubernetes, Helm, ArgoCD/GitOps, CI/CD experience.
  • AWS managed services (RDS, DocumentDB, Redis), IaC (Terraform).
  • Observability tools (Prometheus, Grafana).
  • Scripting/automation (Python, Bash, Go).
  • Strong Linux, networking, and distributed systems troubleshooting.
  • Preferred: Temporal operations, MongoDB workflows, Nautobot/NetBox integration, multi-region scaling patterns.

Success Indicators
  • Reliable CI/CD pipelines and standardized Kubernetes deployments.
  • Infrastructure defined as code, reproducible environments.
  • Stable Temporal, databases, cache layers, and observability tooling.
  • Mature secrets/access management and clear DevOps operating model.

Skills:
Devops,kubernetes,ci/cd