Tanmay Gairola — Software Engineer

Systems engineer specializing in containerization, distributed systems, and cloud infrastructure. At Microsoft Azure, I design and build core compute infrastructure for Azure Container Instances, working across container orchestration (ContainerD, CRI), networking (CNI/CNS), and confidential computing. I've architected container lifecycle management systems processing over 2 million container operations daily with 99.95% reliability. I specialize in systems programming with Go, C#, Rust, and C++, with deep expertise in container runtimes, distributed consensus algorithms like Raft, and performance optimization at scale. My recent work includes reducing cold start latencies by 30%, cutting high-severity production incidents by 60%, and improving P99 latencies by 25% through strategic caching and pool optimization. I've led cross-team initiatives involving multiple engineers across orgs to overhaul ACI's networking stack, impacting millions of container deployments monthly. My technical focus spans building resilient backend systems that handle 10TB+ of daily traffic, implementing distributed service discovery mechanisms adopted by multiple internal teams, and designing fault-tolerant systems with sub-100ms response times. I'm particularly passionate about the intersection of systems engineering and AI infrastructure, exploring opportunities to optimize ML workload orchestration and GPU-accelerated container deployments.

Stackforce AI infers this person is a Cloud Infrastructure Engineer specializing in containerization and distributed systems.

Location: Delhi, India

Experience: 2 yrs 9 mos