"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.."
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).
Experience in incident management & debugging complex distributed systems.
Familiarity with CI/CD pipelines and release automation.
Keyskills: kubernetes networking linux system container orchestration aws continuous integration golang aks ci/cd eks helm gcp linux datadog debugging prometheus python microsoft azure glm grafana incident management splunk terraform bash release automation
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