Senior DevOps Engineer / Platform Engineer

Job Id : Stellar - 17395 Posted Date : 04/14/2026 Experience : 8-15 Job Type : Contractual Overview 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. 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. #J-18808-Ljbffr