Maintain and scale Kubernetes (EKS) clusters , managing workloads, deployments, and monitoring at production scale. Manage and evolve our AWS (and some GCP) cloud environments, balancing reliability, cost, and velocity. Own and improve our CI/CD systems (GitHub Actions on our self-hosted AWS runners). Define and implement Infrastructure as Code using Terraform and Terragrunt. Strengthen observability via Datadog and enable teams to understand their systems in production. Collaborate with Product Engineers to deploy and monitor production services. Drive FinOps practices: vendor management, cost allocation, and financial feedback loops. Contribute to internal tooling, automation, and reporting platforms that improve developer experience.

You'll thrive in this role if you have: Deep hands-on DevOps / SRE / Platform experience in a SaaS or high-traffic product environment. Strong Kubernetes experience - spinning up and managing clusters, not just consuming them. Proven AWS and or GCP expertise. Proficiency with Terraform / Terragrunt, Linux, and Python scripting. Strong understanding of CI/CD design patterns. Experience with Datadog or similar observability tooling. Comfortable operating autonomously in ambiguous environments. A pragmatic mindset - focusing on scalable, maintainable solutions over theoretical perfection. A bias toward execution and written communication, especially in remote contexts.

Bonus points for: Familiarity with Temporal.io, or workflow orchestration frameworks. Light frontend or tooling development experience (React, Node.js). Previous work supporting AI research or data-intensive environments

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