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 sitebuilder/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 productionready DevOps model.

Key Responsibilities

• CI/CD & Deployment: Build and maintain pipelines ArgoCD workflows and Helmbased 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 clientside 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 multiregion 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.

Required Skills:

Devopskubernetesci/cd