Site Reliability Engineer

Key Responsibilities: Build and maintain scalable infrastructure on AWS/GCP using Terraform, treating everything as code with peer‑reviewed modules and CI‑driven provisioning Own SLOs and error budgets for critical services - define SLIs, build dashboards in Grafana/Datadog, and drive reliability decisions across product teams Design and operate Kubernetes clusters: autoscaling, resource tuning, pod disruption budgets, and Helm‑based service deployment standards Lead incident response as an on‑call escalation point - run incident command, write blameless postmortems, and drive remediation work to closure Automate toil away with Python, Bash, and Go - self‑healing runbooks, capacity management, and cost optimization tooling Harden production systems: implement network policies, secrets management, least‑privilege IAM, and vulnerability remediation pipelines Partner with development teams on production readiness - review designs for reliability, set deployment standards, and improve observability coverage What We Are Looking For3–7 years of experience in SRE, DevOps, or infrastructure engineering, including operating large‑scale production systems with real on‑call responsibilities Deep hands‑on experience with Kubernetes in production - operating clusters, debugging workloads, and tuning for performance and cost Strong infrastructure‑as‑code skills with Terraform (or similar) and experience with CI/CD pipelines (GitHub Actions, GitLab CI, or ArgoCD) Solid grasp of distributed systems fundamentals: load balancing, service meshes, queues, caching strategies, and failure modes Production experience with observability stacks: Prometheus, Grafana, Datadog, or equivalent - including building actionable alerts, not noisy ones BS in Computer Science or equivalent practical experience; scripting proficiency in Python, Go, or Bash

Bonus: experience with chaos engineering, multi‑region architectures, service mesh (Istio/Linkerd), or database reliability (PostgreSQL, MySQL)