Description:

Lead the design and optimization of Kubernetes-based infrastructure and CI/CD systems.
Own infrastructure for AI tooling, ensuring secure and auditable access patterns for production systems.
Collaborate with engineering teams to enhance delivery, production reliability, and best practices.

Requirements:

6+ years in SRE, DevOps, or Infrastructure roles with significant production Kubernetes experience.
Hands-on experience with AI/LLM tooling integration and security considerations.
Proven success in building CI/CD pipelines (e.g., GitHub Actions, Jenkins).
Strong knowledge of Kubernetes internals and managed services (EKS, GKE, AKS).
Expertise in Infrastructure as Code (Terraform, Helm) and GitOps.
Proficient in Python, Bash, or Go.
Familiarity with observability tools (Prometheus, Grafana).
Production experience with Kafka, Flink, and ClickHouse.
Strong communication and collaboration skills.

Work in a recognized best workplace with a strong culture of employee engagement.
Opportunity to mentor engineers and lead technical initiatives in a growing company.

Skills