Senior Site Reliability Engineer (Cloud Native & Observability)

Role Overview:

Responsible for highly resilient, scalable, and cost-optimized systems on multi-cloud environments. Focus on infrastructure as code, observability, chaos engineering, and Kubernetes ecosystem stability across distributed systems used by millions of users.

• Design and implement scalable and reliable systems.
• Monitor system health using tools like Prometheus, Grafana, or Datadog.
• Manage CI/CD pipelines and infrastructure automation (e.g., Jenkins, GitHub Actions).
• Troubleshoot incidents and ensure root cause analysis is completed.
• Work with DevOps and development teams to improve system performance.
• Build tools to automate operations and reduce manual intervention (IaC).

Key Responsibilities:

• Architect and maintain multi-region Kubernetes clusters (AKS/EKS/GKE) with Istio/Linkerd service mesh.
• Implement full-stack observability using OpenTelemetry, Grafana Loki, and Jaeger.
• Build self-healing infrastructure with tools like KEDA, Argo CD, Crossplane.
• Design and manage CI/CD pipelines with GitOps approach (FluxCD/Argo CD).
• Conduct chaos testing using Gremlin or LitmusChaos to validate system resilience.
• Work with finance and ops teams on FinOps strategies for optimizing cloud usage (Spot instances, autoscaling policies).
• Implement policy-as-code for security compliance via OPA/Gatekeeper.

Technology Stack:

• Languages: Go, Python, Bash
• Cloud: AWS, Azure, GCP
• IaC Tools: Terraform, Helm, Pulumi
• Observability: Prometheus, Grafana, ELK, New Relic
• Certifications Preferred: CKA, CKAD, Terraform Associate, Google SRE, FinOps Certified Practitioner

Requirements:

• Bachelor's in Computer Science, Engineering, or related.
• Familiarity with Terraform, Ansible, or other automation tools.
• Experience with public cloud (AWS, Azure, or GCP).
• Strong scripting skills (Python, Bash, or Go).