Job
Description
"Ensure platform reliability and performance: Monitor, troubleshoot, and optimize production systems running on Kubernetes (EKS, GKE, AKS). Automate operations: Develop and maintain automation for infrastructure provisioning, scaling, and incident response. Incident response & on-call support: Participate in on-call rotations to quickly detect, mitigate, and resolve production incidents. Kubernetes upgrades & management: Own and drive Kubernetes version upgrades, node pool scaling, and security patches. Observability & monitoring: Implement and refine observability tools (Datadog, Prometheus, Splunk, etc.) for proactive monitoring and alerting. Infrastructure as Code (IaC): Manage infrastructure using Terraform, Terragrunt, Helm, and Kubernetes manifests. Cross-functional collaboration: Work closely with developers, DBPEs (Database Production Engineers), SREs, and other teams to improve platform stability. Performance tuning: Analyze and optimize cloud and containerized workloads for cost efficiency and high availability. Security & compliance: Ensure platform security best practices, incident response, and compliance adherence.." Required education None Preferred education Bachelor's Degree Required technical and professional expertise Strong expertise in Kubernetes (EKS, GKE, AKS) and container orchestration. Experience with AWS, GCP, or Azure, particularly in managing large-scale cloud infrastructure. Proficiency in Terraform, Helm, and Infrastructure as Code (IaC). Strong understanding of Linux systems, networking, and security best practices. Experience with monitoring & logging tools (Datadog, Splunk, Prometheus, Grafana, ELK, etc.). Hands-on experience with automation & scripting (Python, Bash, or Go). Preferred technical and professional experience Experience in incident management & debugging complex distributed systems. Familiarity with CI/CD pipelines and release automation.
