Senior DevOps Engineer / Platform Engineer
Santa Clara, Utah, United States of America
Contract
2 weeks ago
$65 - $70 USD
Key skills
PythonGoBashAWSTerraformKubernetesHelmArgoCDRDSPostgreSQLMongoDBRedisPrometheusGrafanaGitOpsCI/CDCollaboration
About this role
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.