Most Important

• Extensive production experience architecting and managing scalable infrastructure on Google Cloud Platform (GCP).
• Deep expertise in defining SLOs/SLIs and building robust observability stacks using Prometheus, Grafana, or DataDog.
• Proficiency in Infrastructure as Code (IaC) using Terraform and managing containerized environments with Docker and Kubernetes (GKE).
• Strong coding skills in Python or Go to automate complex operational workflows and build custom platform tooling.
• Proven ability to lead architectural decisions, drive capacity planning, and mentor engineers on SRE best practices.

Nice to Have

• Background in functional programming languages like Elixir, Haskell, or Clojure.
• Experience administering databases (PostgreSQL, Redis) and managing event-driven systems like Kafka or Pub/Sub.
• Exposure to chaos engineering practices and resilience testing to harden system stability.