Design and build scalable, fault-tolerant infrastructure systems across multiple cloud regions.

Own and evolve multi-cloud infrastructure using Azure, GCP, Kubernetes, networking, and container management.

Develop distributed systems including model proxies, rate limiting, quota management, multi-region deployment, and observability infrastructure.

8+ years of experience in core backend infrastructure engineering or backend platform engineering in production settings.
Long track record building and scaling complex, large-scale distributed systems.
Deep proficiency with cloud infrastructure platforms; Azure is preferred, with GCP or AWS experience transferable.
Robust understanding of Kubernetes, container orchestration, networking, and cloud security at scale.
Experience with Datadog, Sentry, PagerDuty, Incident.Robust programming skills in Python, Go, or similar languages.
Preferred experience includes AI/ML infrastructure or high-throughput inference systems, distributed rate limiting, load balancing, quota management, multi-tenant platforms, strict security and compliance requirements, and leading complex cross-functional projects.

📌 Senior Software Engineer Ai/ml Bengaluru (India)
🏢 Harvey
📍 India