Sr/Staff Site Reliability Engineer, Consumer Apps

Responsibilities

• Use AI agents as a force multiplier for yourself and others.
• Create, improve, and maintain internal agentic tools and harnesses.
• Add automation to both existing and new systems until manual processes, and the toil that comes with them, simply go away.
• Write Terraform modules for deploying infrastructure resources via our GitLab pipelines.
• Develop Helm charts for deploying services and jobs in our Kubernetes cluster.
• Define metrics, network policies, and routing rules for our Istio service mesh.
• Monitor and maintain our GCP BigQuery, Spanner, and CloudSQL databases.
• Pipe metrics to our Google-managed Prometheus instance and build out Grafana dashboards and alerts to increase visibility on our systems.
• Experiment with GCP offerings, 3rd party vendors, AI tooling, and open-source projects to further automate and secure day-to-day operations.
• Pair with engineering leads to instrument and monitor critical functionality.
• Participate in architecture design and capacity planning discussions to ensure that our systems are scalable, maintainable, reliable, and secure.
• Build, maintain, and improve our CI/CD pipeline.

Requirements

• 6+ years of experience building and maintaining large-scale cloud-native infrastructure (AWS and/or GCP).
• Demonstrated fluency directing AI coding agents (e.g. Claude Code, Cursor, or similar) to build, operate, and debug real infrastructure; and robust and experienced judgment on verification of their work.
• A track record of replacing manual operations with durable automation.
• Experience working with the containerization technologies Docker, Kubernetes, and Istio or a similar service mesh technology.
• Experience with SQL database technologies such as MySQL, Google BigQuery, and Google Spanner.
• Experience with stream technologies such as Kafka and Amazon Kinesis.
• Experience with pub sub technologies such as AWS SNS and Google Pub/Sub.
• Experience with serverless computing technologies such as AWS Lambda and Google Cloud Functions/Google Cloud Run.
• Experience with infrastructure-as-code tools such as Terraform.
• Experience with observability tools such as Datadog, Prometheus, and Grafana.
• Strong computer science and software engineering fundamentals.
• Experience with SOC2 and PCI Compliance processes and requirements.

Nice-to-Haves

• You reach for automation before you reach for a runbook, and a manual process is something you want to delete, not document.
• You treat AI agents as power tools and have real opinions about how to drive them — especially when to stop trusting them.
• You are comfortable wearing many hats.
• You have a willingness to learn and teach in a fast-paced, collaborative environment.
• You have a strong desire to automate things.
• You readily provide constructive feedback, and also proactively seek feedback to improve yourself.
• You like to get your hands dirty and tinker with/stress test new technologies.