Description

You will own the reliability and operational integrity of large-scale distributed systems.

Responsibilities

• Administer and optimize Kubernetes clusters, specifically Amazon EKS and Red Hat OpenShift.
• Manage platform lifecycle, including upgrades, scaling, and security controls for core middleware like Kafka and Redis.
• Define SLIs/SLOs and manage error budgets, using data to balance reliability against feature velocity.
• Design and implement observability stack components using Prometheus, Grafana, ELK, and Splunk.
• Lead on-call rotations, incident response, and drive continuous improvement through blameless root cause analysis.

Required Skills

• 12+ years of overall industry experience, with 6+ years in SRE, DevOps, or Production Engineering.
• Expertise administering Kubernetes internals, networking, Helm charts, and Operators.
• Hands-on experience managing and tuning Apache Kafka and Redis Enterprise Clusters.
• Strong proficiency with IaC tools including Terraform, Ansible, and Helm/ArgoCD.
• Mastery of observability tools: Prometheus, Grafana, ELK Stack, or Splunk.
• Enforce container security and policy governance using tools like OPA/Gatekeeper or Kyverno.
• Proficiency in Python, Shell Scripting, or Groovy for automation.
• Demonstrable experience instrumenting Java, Node.js, and Python applications with metrics and tracing.
• Proven track record running large-scale production systems with minimal downtime.

Key Skills

Education

Any Gradute