Resmed is hiring a Senior Platform Engineer to build and operate the ResAI Platform - the enterprise AI platform and governed runtime for agents, chatbots, RAG services and ML models. This Bangalore-based role is focused on platform engineering, control-plane design, security enforcement and operational readiness. You will help make governance, security, observability and cost control built-in properties of the platform, rather than manual gates at the end of delivery. This is not a data science role. The strongest candidates bring deep Kubernetes and cloud-networking expertise, with working fluency in AI gateways, agentic AI runtime patterns and governed platform operations.
You will partner with Digital Platform Engineering, Enterprise Security, Architecture, platform vendors and consuming product teams to create a safe, reliable and self-service path for AI workloads. • Design, build and operate the ResAI Landing Zone - a Kubernetes-native control plane for agents, MCP servers and AI workloads, including custom resources, admission control and reconciliation logic. • Operate and extend AI and MCP gateways covering model access control, model allow-listing, rate limits, budget and spend controls, cost attribution, tool entitlement, authorization, credential brokering and audit. • Implement and continuously verify platform and network security controls, including NetworkPolicy, egress control, policy-as-code, workload identity and least-privilege access aligned to EKS and AI security standards. • Translate security control catalogues into automated compliance checks that generate evidence and can be shared across platform teams. • Instrument the platform for observability, reliability and FinOps, including traces, metrics, evaluation signals, cost tagging, SLOs, incident response and continuous improvement. • Act as the engineering counterpart to the platform vendor and adjacent platform teams, shaping system-level requirements, reviewing designs and supporting release readiness. • Mentor engineers, review designs and code, improve documentation quality and support inner-source contribution across teams
Pay: ₹2,500,000.00 - ₹3,000,000.00 per year
Work Location: In person
