Sr. Site Reliability Engineer

Requirements:

• 6+ years of progressive experience in SRE, DevOps, or cloud infrastructure engineering, with demonstrated ownership of production systems at scale.
• Deep Kubernetes expertise: Helm charts, workload tuning, RBAC, network policies, and service mesh (Istio / Linkerd).
• Hands-on Terraform and Ansible at production scale: modules, state management, drift remediation, and CI-integrated plan/apply workflows.
• Proven observability engineering: you have built telemetry pipelines, authored meaningful dashboards, and used data to justify reliability investments. Experience with OpenTelemetry, Prometheus, Grafana, Splunk, and SignalFx.
• Demonstrated cloud security experience across multiple layers of the network (VPC, security groups, WAF, firewall), identity (IAM, OIDC, SAML), OS hardening, and application-level controls (certificates, API gateway, mTLS).
• Strong scripting and automation skills (Python, Bash, Go) to eliminate toil and build internal tooling.
• Experience with GitOps workflows and progressive delivery tools (GitLab CI/CD); comfort with canary, blue-green, and feature-flag release strategies.
• Track record of leading incident response at P1/P2 severity on-call experience, structured postmortems, and measurable MTTR improvements.
• Strong communication skills: able to translate reliability risks into business impact and influence engineering decisions across teams.
• Bachelor's degree in computer science, software engineering, or a related field; master's preferred. AWS certifications (Solutions Architect, DevOps Engineer) a plus

Must-Have Skills:

• Cloud Platform: AWS (EKS, ECS, Lambda, RDS, CloudWatch, IAM).
• Container Orchestration: Kubernetes production-grade cluster operations, RBAC, and network policies.
• IaC and Configuration: Terraform (required), Ansible, and a GitOps-first approach.
• CI/CD and SCM: GitLab CI/CD, GitHub Actions; pipeline-as-code, reusable templates.
• Observability: OpenTelemetry, Prometheus, Grafana, Splunk, SignalFx tracing, metrics, logs.
• Security: Multi-layer: IAM, VPC/security groups, WAF, certificates, secrets management (Vault / AWS SM), container scanning.
• Reliability Practice: SLO/SLI definition, error budget management, blameless postmortems, chaos/fault injection.
• Progressive Delivery: ArgoCD / Flux, canary and blue-green deployments, and feature flags.
• Scripting: Python, Bash, and Go for automation and tooling.