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High demand mid-level platform role at a well-funded startup in Bangalore with broad cloud and Kubernetes requirements.
Core cloud, Kubernetes, and platform skills transfer across industries, though robotics data sensitivity adds moderate domain bias.
Explicit 5+ years, Kubernetes-at-scale, multi-cloud, and production platform operational requirements increase filter strictness.
Build and maintain platform products, services, tools, and backend infrastructure to support high-throughput data and physical AI workflows for Instawork Robotics Labs.
Own reliability, scalability, cost efficiency, and operational aspects of Kubernetes clusters and multi-cloud infrastructure (AWS, Azure).
Shape and execute platform roadmap by collaborating with application engineers to deliver scalable, reliable, and cost-optimized solutions.
5+ years of experience building and operating production software platforms.
Proven experience managing Kubernetes clusters at scale in production.
Strong knowledge of distributed systems, cloud infrastructure (AWS and Azure preferred), networking, storage, and observability.
Experience with Infrastructure as Code, CI/CD, and production operations.
Experienced in designing platform products and backend services supporting robotics, physical AI, or similarly complex, data-intensive workflows.
Comfortable operating multi-cloud environments and managing cost, capacity planning, and resource optimization within such setups.
Skilled in Python and Rust programming with a focus on automation, monitoring, and reliability engineering in production contexts.