Senior Site Reliability Engineer

Job Overview:

Drive reliability and operational maturity for Kubernetes workloads on GKE through safe rollout patterns, high-signal observability, resilient IaC, and effective incident response. Collaborate with developers to harden CI/CD pipelines and address infrastructure concerns within application code.

Key responsibilities:

• Design and maintain resilient deployment patterns (blue-green, canary, GitOps syncs) across services.
• Instrument and optimize logs, metrics, traces, and alerts to reduce noise and improve signal.
• Review backend code (e.g., Django, Node.js, Go, Java) with a focus on infra touchpoints like database usage, timeouts, error handling, and memory consumption.
• Tune and troubleshoot GKE workloads, HPA configs, network policies, and node pool strategies.
• Improve or author Terraform modules for infrastructure resources (e.g., VPC, CloudSQL, Secrets, Pub/Sub).
• Diagnose production issues from logs, traces, dashboards, and lead or support incident response.
• Reduce config drift across environments and standardize secrets, naming, and resource tagging.
• Collaborate with developers to harden delivery pipelines, standardize rollout readiness, and clean up infra smells in code.

Key skills:

• Have 4–6+ years of experience in backend or infra-focused engineering roles (e.g., SRE, platform, DevOps, or fullstack).
• Can confidently write or review production-grade code and infra-as-code (Terraform, Helm, GitHub Actions, etc.).
• Have deep hands-on experience with Kubernetes in production, ideally on GKE, including workload autoscaling and ingress strategies.
• Understand cloud concepts like IAM, VPCs, secret storage, workload identity, and CloudSQL performance characteristics.
• Think in systems: you understand cascading failure, timeout boundaries, dependency health, and blast radius.
• Regularly contribute to incident mitigation or long-term fixes (not just closing alerts).
• Can influence through well-written PRs, documentation, and thoughtful design reviews.

Good to have:

• Exposure to GitOps tooling such as ArgoCD or FluxCD.
• Experience developing or integrating Kubernetes operators.
• Familiarity with service-level indicators (SLIs), service-level objectives (SLOs), and structured alerting.

Tools and Expectations:

• Datadog - Monitor infrastructure health, capture service-level metrics, reduce alert fatigue through high signal thresholds.
• PagerDuty - Own incident management pipeline. Route alerts by severity and align with business SLAs.
• GKE / Kubernetes - Improve cluster stability and workload isolation. Define auto-scaling configurations and tune for efficiency.
• Helm / GitOps (ArgoCD/Flux) - Validate release consistency across clusters. Monitor sync status and rollout safety.
• Terraform Cloud - Support DR planning and detect infrastructure changes through state comparisons.
• CloudSQL / Cloudflare - Diagnose DB and networking issues. Monitor latency, enforce access patterns, and validate WAF usage.
• Secret Management - Audit access to secrets, apply short-lived credentials, and define alerts for abnormal usage.