Site Reliability Engineer — Boston, MA

About The Role

The role owns the reliability of production infrastructure serving millions of requests per day - from Kubernetes clusters and CI/CD pipelines to on-call response and incident command.

You will work directly with backend engineering teams to eliminate toil, harden infrastructure, and make deployments boring: SLOs define success, automation handles the rest, and every incident makes the platform stronger.

Key Responsibilities

• Own production reliability end-to-end: define SLOs and error budgets, drive the incident review process, and reduce MTTR through runbooks, automation, and better observability

• Build and operate Kubernetes-based infrastructure on AWS or GCP, including cluster management, autoscaling policies, and Helm-based deployment workflows

• Design observability pipelines using Prometheus, Grafana, and OpenTelemetry - turning noisy alerts into actionable, symptom-based paging

• Write infrastructure-as-code in Terraform and contribute to a GitOps workflow using tools like ArgoCD or Flux

• Participate in a humane on-call rotation; lead postmortems that produce concrete, tracked remediation items rather than blame

• Partner with product engineering teams on capacity planning, load testing, and performance tuning of critical services

• Automate away repetitive operational work - incident response tooling, self-service infrastructure, and progressive delivery (canary, blue/green deployments)

What We Are Looking For

• 3-7 years of experience in SRE, DevOps, or infrastructure engineering, including running services at real production scale

• Deep hands-on expertise with Kubernetes and at least one major cloud provider (AWS, GCP, or Azure)

• Strong programming or scripting skills in Go, Python, or Bash for building tooling and automation

• Experience with observability stacks (Prometheus/Grafana, Datadog, or similar) and incident management practices

• Solid grasp of distributed systems fundamentals: load balancing, caching, retries, backpressure, and failure modes

• BS in Computer Science or equivalent practical experience; comfort operating in an on-call rotation

• Bonus: Experience with service meshes (Istio/Linkerd), chaos engineering, cost optimization/FinOps, or platform engineering for multi-tenant environments