Senior DevOps Engineer

What you'll do

• Design, provision, and manage infrastructure primarily on Google Cloud (GKE) and other cloud environments with Kubernetes as the core platform abstraction
• Work directly with engineering counterparts on the design and implementation of cloud-based infrastructure solutions
• Build platform capabilities, internal developer portal components, and self-service tooling to reduce friction for engineers and standardize production services
• Design and build automations and infrastructure tooling with GitOps principles integrating with APIs, cloud SDKs, and Kubernetes components
• Create and manage CI/CD pipelines (e.g., ArgoCD, Argo Rollouts, Argo Workflows, GitHub Actions) ensuring safe, observable, and repeatable deployments
• Partner with engineering teams to define scalable infrastructure patterns, reusable modules, and cost-efficient solutions
• Monitor infrastructure spend and contribute to cost analysis, optimization, and FinOps practices
• Improve observability, alerting, SLOs, and runbooks to strengthen reliability and incident response
• Implement cloud security and compliance best practices including IAM design, workload identity, secrets management, and container security standards

Requirements

• 5+ years in DevOps, SRE, or Platform Engineering with strong production experience in GCP and Kubernetes (GKE)
• Experience with additional cloud providers is a plus
• Proficient in using AI tools to accelerate research and coding workflows with critical evaluation skills
• Strong automation skills, programming and scripting in Python and Typescript
• Proven experience operating Kubernetes in production including Helm, ArgoCD, operators, Kustomize, networking, autoscaling, and RBAC
• Deep expertise in Terraform / OpenTofu and infrastructure-as-code best practices; experience designing reusable modules and managing multi-environment deployments
• Hands-on experience supporting hybrid or multi-cloud deployments
• Solid understanding of cost modeling, tagging strategies, and cloud cost optimization techniques
• Familiarity with microservices architectures, service discovery, and containerization workflows
• A platform mindset focused on improving developer velocity and system reliability
• Strong communication skills and clear, useful documentation habits

Tech stack