Description

You will own the design and build of scalable, fault-tolerant infrastructure systems supporting high-volume AI workloads across multiple cloud regions.

Responsibilities

• Own and evolve multi-cloud infrastructure across Azure and AWS, covering networking, compute, storage, and security.
• Architect and manage containerized environments using Kubernetes and Docker.
• Lead infrastructure initiatives focusing on observability, incident response, and operational excellence.
• Optimize distributed systems for reliability, scalability, load balancing, quota management, and failover.
• Drive Infrastructure-as-Code practices using Terraform for automated and reproducible deployments.

Required Skills

• 7 - 14 years of experience in Infrastructure, Platform, or Cloud Engineering roles.
• Strong hands-on expertise with Azure and AWS cloud platforms.
• Extensive experience using Terraform and Infrastructure-as-Code best practices.
• Proficiency in Python for automation, tooling, and backend systems.
• Experience operating large-scale distributed systems in production.
• Hands-on experience with containerization technologies (Docker, Kubernetes).
• Strong understanding of networking, security, high availability, and disaster recovery.
• Proven experience implementing observability frameworks (monitoring, logging, tracing).

Key Skills

Education

Any Graduate