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.