Senior DevOps Engineer / Platform Engineer

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.

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