This position is on the DevOps team, supporting the MNTN platform and Engineers. The right person will not only have a deep knowledge of system administration and GCP, but will also be able to work with a variety of Developers. You will work closely with our Engineering team and help meet the service's requirements.
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 (IDP) components, and self-service tooling that reduces friction for engineers and standardizes how services run in production.
- Design and build automations and infrastructure tooling with GitOps as a fundamental principle, 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 across environments.
- Partner with engineering teams to define scalable infrastructure patterns, reusable modules, and cost-efficient solutions based on usage and growth requirements.
- Monitor infrastructure spend and contribute to cost analysis, optimization, and FinOps practices to improve cloud efficiency.
- 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.
What success looks like- Ensures our Kubernetes platform runs predictably and resiliently in production, with fewer incidents, faster recovery, and strong operational discipline across environments.
- Delivers meaningful improvements to developer experience by increasing automation, expanding self-service capabilities, reducing friction, and earning high trust and satisfaction from engineering teams.
- Continuously enhances platform standards, automation, and cost governance - improving infrastructure safety, consistency, security, and efficiency.
What you'll bring- 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 the ability to critically evaluate outputs, verify accuracy, and apply results responsibly.
- Strong automation skills, programming and scripting in Python and Typescript, including working with APIs, SDKs, and CLIs.
- 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. Terragrunt is a plus.
- Hands-on experience supporting hybrid or multi-cloud deployments where appropriate.
- Solid understanding of cost modeling, tagging strategies, and cloud cost optimization techniques (FinOps awareness a plus).
- Familiarity with microservices architectures, service discovery, and containerization workflows.
- A platform mindset: you've built tools, abstractions, or paved roads that improve developer velocity and system reliability.
- Strong communication skills and a habit of clear, useful documentation.
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