Senior Site Reliability Engineer
Own the reliability, resilience, observability, and automation of AWS and Kubernetes infrastructure supporting production products and AI/ML workloads. The role requires 4+ years of cloud infrastructure experience, strong Kubernetes and Terraform expertise, and senior-level incident response and software engineering skills.
About the job
Responsibilities
- Own the reliability, performance, and resilience of Garner’s AWS and Kubernetes cloud environments, including AI/ML workloads.
- Define, measure, and uphold service-level objectives (SLOs) for critical services.
- Participate in on-call rotations, lead incident response, conduct root-cause analyses, and drive corrective actions through resolution.
- Build and maintain monitoring, alerting, and observability systems.
- Translate scaling requirements into automated, composable Terraform infrastructure-as-code deliverables.
- Optimize cloud costs and performance across compute, storage, and networking.
- Reduce operational toil and technical debt through AI-assisted automation and monitored, hands-free processes.
- Establish deployment and observability standards that help engineers ship AI features reliably.
- Communicate cloud and reliability concepts to technical and non-technical stakeholders.
- Ensure infrastructure and operations satisfy security and HIPAA compliance obligations.
Requirements
- 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role.
- Deep expertise with Kubernetes and Terraform in a cloud-first environment; AWS preferred.
- Experience defining SLOs, building monitoring and alerting, leading incident response, and conducting blameless post-incident reviews.
- Strong software engineering fundamentals in Python or Go, applied to infrastructure automation.
- Experience optimizing cloud cost and performance.
- Fluency with AI tools applied to engineering and operations workflows, or strong motivation to develop this capability.
Nice-to-haves
- Experience with Kubernetes APIs.
- Experience supporting AI/ML or data-intensive workloads in production.
- Experience in security-conscious or regulated environments, including HIPAA or SOC 2.
Technologies
- AWS
- Kubernetes
- Terraform
- Istio
- Python
- Go
- TypeScript
- PostgreSQL
- NATS
- Datadog
- GitLab
Compensation
- Target base compensation: $191,000–$226,000 annually.
- Eligible for equity incentives and benefits including flexible paid time off, medical/dental/vision plans, 401(k) matching, flexible spending accounts, and Teladoc Health.
Skills
AWS, Kubernetes, Terraform, SLOs, Incident Response, Observability, Datadog, Python, Go, Istio, TypeScript, Postgres, Nats, GitLab
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