Site Reliability Engineer (Contractor)

Responsibilities

• EKS & Karpenter Management: Manage, upgrade, and autoscale EKS clusters across multiple environments (SIT, UAT, Prod) and AWS accounts.
• Infrastructure as Code & GitOps: Write Terraform modules and Helm charts to support GitOps workflows using ArgoCD and GitLab CI/CD pipelines.
• Kafka & Data Platform Support: Maintain and troubleshoot Kafka (MSK) clusters, including broker health, connectors, and CDC pipelines.
• Observability & Cost Control: Improve observability using Prometheus, Thanos, Grafana, and ELK while proactively identifying cloud cost-optimization opportunities.
• Automation & AIOps: Automate operational tasks with Python and leverage AI/ML techniques for predictive alerting and intelligent runbooks.
• Service Desk & Support: Handle Platform Service Desk requests, including Terraform merge request reviews, access management, and deployment support.
• Incident Response & On-Call: Participate in the production on-call rotation, support incident response, and contribute to blameless post-mortems.

Skills & Qualifications

• Experience: 3+ years of experience in an SRE, DevOps, or Infrastructure Engineering role, with the ability to work independently and manage multiple workstreams.
• AWS Expertise: Strong hands-on experience with core AWS services, including EKS, EC2, RDS Aurora, MSK, S3, IAM, VPC, and Direct Connect.
• Kubernetes & Deployment: Deep production experience with Kubernetes (upgrades, networking, RBAC) alongside Helm and GitOps tools like ArgoCD.
• Infrastructure as Code: Advanced proficiency with Terraform, including writing modules and managing multi-account/multi-environment states.
• Data Infrastructure: Experience supporting and maintaining data platforms such as Airflow, Databricks, EMR, Kafka/MSK, or CDC pipelines.
• Networking & Automation: Solid understanding of networking (VPCs, security groups, Istio, DNS) paired with strong Python scripting skills for tooling and automation.
• Observability & AI: Experience managing observability stacks (Prometheus, Grafana, ELK) and effectively leveraging AI/LLM tools for automation and incident analysis.
• Nice to Have: Experience with Karpenter and KEDA, GitLab CI/CD pipeline experience, Hashicorp Vault for secrets management.