Responsibilities

• Own and manage end-to-end infrastructure deployment.
• Optimize and maintain CI/CD pipelines for the business unit.
• Ensure security, scalability, and reliability of the infrastructure.
• Build, mentor, and guide a team of junior DevOps engineers.
• Maintain high code-quality standards for DevOps practices.
• Implement and improve automation across cloud environments.

Requirements

• 4–6 years of experience as a DevOps Engineer.
• Deep understanding of Kubernetes.
• Strong hands-on experience in cloud platforms (AWS, Azure, GCP).
• Expertise in automating and managing scalable cloud infrastructure.
• Solid knowledge of CI/CD tools and best practices.
• Experience with monitoring/observability tools such as ELK, Prometheus, and Grafana.
• Strong understanding of infrastructure security and best practices.
• Ability to learn and implement new tools/services quickly.
• Experience handling deployments in customer environments.

Nice to Have

• Experience managing Elasticsearch clusters, Redis, Kafka, and databases (MySQL, PostgreSQL) in a Kubernetes production environment.
• Familiarity with event-driven or modern tools like Knative, KEDA, and Kubeflow.

Why Join Us?

• Build tools used by AI engineers across the globe.
• Solve challenging infrastructure problems with real-world impact.
• Work with a passionate, experienced, and fast-moving engineering team.

Ready to shape the future of trustworthy GenAI? Apply now!