Site Reliability Engineer III

Team: All Teams

Location: United States

Commitment: Full Time- Exempt

Workplace Type: remote

Repsonsibilities:

• Consolidate our Terraform, which has grown into inconsistent patterns across our infrastructure and data repositories, into a clean, well-documented structure the whole team can work in. Establish conventions for state management, module structure, code review, and CI checks.
• Normalize environments, improve build and deploy automation in GitHub Actions, and add drift detection and alerting.
• Apply overdue patches and upgrades across our Cloud SQL databases and application runtimes.
• Right-size compute and database workloads for growth, including connection pooling and scaling improvements for high-traffic services.
• Evaluate our Kubernetes architecture as we grow, including whether and when to move to a multi-cluster setup.
• Improve monitoring and observability in Datadog and Cloud Monitoring so we catch issues before they become incidents.
• Design observability access for contractors and external partners that gives them the visibility they need while keeping protected health information out of view.
• Retire legacy infrastructure and tooling that has been replaced but not yet decommissioned.
• Build repeatable operational processes, including runbooks, an on-call rotation, and escalation documentation.
• Support infrastructure readiness for Vida's January 1 enterprise launches.
• Additional responsibilities as needed.

Qualifications:

Bachelor's degree at a minimum.
5+ years of experience in SRE, DevOps, or infrastructure engineering, with real ownership of production systems.
Deep hands-on Terraform experience, including structuring modules and managing state across environments.
Strong working knowledge of GCP, including GKE, Cloud SQL (MySQL and PostgreSQL), IAM, networking and load balancing, and cost management.
Production Kubernetes experience, including autoscaling, resource management, and judgment about what belongs in the cluster versus outside it.
Hands-on experience building monitoring, alerting, and dashboards with tools like Datadog or Cloud Monitoring.
Proficiency in Python for tooling and automation.
Comfortable working across multiple teams and disciplines, and explaining infrastructure decisions to non-specialists.

Preferred:

Experience as an early or first SRE hire.
Experience refactoring or consolidating a large, organically grown Terraform codebase.
Experience improving observability from a less mature baseline.
Experience in a HIPAA-regulated or other compliance-driven environment.
CI/CD experience with GitHub Actions.
Experience running Django applications or Airflow in production on Kubernetes.
Experience designing or migrating to multi-cluster Kubernetes architectures.