[Remote] Lead Platform Engineer, API & AI Services (W2 Only)

Note: The job is a remote job and is open to candidates in USA. Nasscomm is seeking a Lead Platform Engineer for their API & AI Services. In this role, you will own the production API gateway for CoCounsel, an AI platform for legal research, while leading a team of engineers and ensuring the platform's reliability, security, and evolution.

Responsibilities

• Gateway Ownership Own and operate the production multi-tenant API gateway: CIAM/OIDC authentication, per-tenant routing, rate-limiting, fault isolation, and rolling deploys on AWS ECS Fargate
• Maintain and evolve JWT validation — JWKS key management, claim validation, tenant identity propagation, and key rotation
• Drive reliability through circuit-breaking, latency budgets, and graceful degradation
• Security & Authentication Own the CIAM/OIDC/OAuth 2.0 integration at the gateway layer — this is the primary security perimeter for enterprise customer traffic
• Implement and maintain JWT validation, tenant-scoped authorization, and API key lifecycle management
• Pod Leadership Lead a pod of 3–4 engineers: code reviews, architectural decisions, delegating concrete pieces of work with clear ownership, and mentoring
• Resolve cross-team design questions peer-to-peer
• Hold a clear distinction between DEV iteration (fast, reversible, learn by breaking) and PROD discipline (coordinated, observable, controlled rollout)
• Production Engineering Maintain CI/CD pipelines and IaC (CDK or Terraform) for the gateway and its supporting infrastructure
• Own AWS infrastructure — ECS Fargate task lifecycle, multi-region rollout, ElastiCache Redis for distributed state, and RDS for quota and analytics
• Build and maintain observability: distributed tracing, latency dashboards, per-tenant usage metrics
• AI Services Engineering Participate in the design and engineering of LLM-backed sub-services the team builds and operates: contract analysis pipelines, RAG architectures, agentic workflows
• Contribute to decisions about how AI service results propagate across the platform — async job patterns, structured outputs, webhook delivery — and bring a platform engineer’s perspective to reliability, observability, and integration
• Enterprise AI Integration Define and build how enterprise customers access CoCounsel’s capabilities beyond REST APIs
• Enterprise customers are already asking for MCP servers, callable tools, and programmatic interfaces their own AI agents can invoke
• This is an open design problem on a near-term roadmap — you will shape the answer, building directly on the gateway and auth infrastructure you own

Skills

• Python/FastAPI in production. You have built and operated a FastAPI service handling real external traffic — not just internal tooling or AI-app backends
• AWS. Hands-on with ECS Fargate, CloudFormation

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