Senior Manager, Platform Software Engineering

Role overview

Senior Manager, Platform Software Engineering at Oracle

Build and grow the team: hire engineers and tech leads, set expectations, give direct feedback, and develop people over time.

Responsibilities

• You'll build and grow the team, set its technical direction, and own these services end to end, from design through production operations.
• Define the team's roadmap and priorities with leadership and partner teams.
• Stay close enough to the technical work to review designs, weigh tradeoffs, and make calls when needed.
• Own the operational health of the services: on-call, incident response, postmortems, and follow-through on reliability work.
• Work closely with networking, security, platform, and ML infrastructure teams on problems that cross team boundaries.
• What we're looking for: Experience managing engineers who build and operate distributed systems in production.
• A solid technical background in at least one of: proxies and load balancing, API gateways, service mesh, networking, or high-throughput backend services.
• Experience running latency-sensitive services, including on-call and incident management.
• Experience building something new, such as starting a team, launching a new service, or taking a product from early design to production.
• A track record of hiring well and helping engineers grow.

Preferred qualifications and skills

• Hands-on experience with Envoy, NGINX or similar.
• Familiarity with LLM inference serving (batching, streaming, GPU utilization).
• Experience building internal platforms used by many engineering teams.

Employment details

• Location: India

Additional role details

• Team owns the layer between clients and backend workloads: proxy and L7 services, API Gateway, and inference gateway for AI traffic.
• Every request to backend services passes through this layer, so latency, availability, and correctness here directly affect everything downstream.
• Leads and owns the OCI API Gateway service engineering teams.
• Problems the team works on: Proxy and L7: request routing, TLS termination, connection management, config propagation across a large fleet, and keeping tail latency predictable under load.
• API Gateway: authentication and authorization, rate limiting and quotas, traffic policies, and giving service teams a safe, self-serve way to expose APIs.
• Inference gateway: routing AI inference traffic, which behaves differently from typical web traffic.
• Requests are long-running and often streamed, cost varies widely by request, and backend GPU capacity is expensive and limited.
• That makes routing, queuing, fairness, and capacity efficiency hard problems.