- Expertise with Kubernetes (GKE) and containerization technologies.
- Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible).
- Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
- Strong background working in a cloud environment (GCP, AWS, or Azure).
- Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.
- Experience with developing or integrating AI/ML tooling.
- Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
- Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
- Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
- Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.