Infrastructure Management: Design, implement, and manage Kubernetes clusters in production environments to ensure high availability and reliability.
Automation: Build and manage automation tools and scripts for continuous deployment, scaling, and self-healing of applications using Kubernetes and associated tooling (Helm, kubectl, Kustomize).
Monitoring and Metrics: Implement robust monitoring solutions using Prometheus, Grafana, and other observability tools to track the health of Kubernetes clusters, applications, and services.
Incident Management: Work with cross-functional teams to respond to incidents, identify root causes, and implement solutions to prevent recurrence.
CI/CD Pipeline Optimization: Design and maintain continuous integration and deployment pipelines to improve the release cycle and reduce downtime.
Capacity Planning: Forecast resource needs, scale systems efficiently, and optimize cloud infrastructure to meet growing demand.
Disaster Recovery: Define and implement strategies for backup, recovery, and failover to ensure data integrity and uptime.
Collaboration: Partner closely with development teams to help design scalable, resilient, and performant architectures on Kubernetes.
Security: Ensure that the Kubernetes infrastructure follows best practices for security, including network policies, RBAC, and Pod security policies.