About this role
Lead architecture, design and delivery of enterprise-scale MERN applications while remaining deeply involved in solutioning, coding, reviews, performance optimization, cloud-native implementations, and engineering governance. The role balances technical leadership with business and stakeholder engagement. Job Description: Required Experience: 14-20 Years
Team Management- Yes
Key Relationships: Product, Delivery, Architecture, Security, DevOps / SRE
A senior role accountable for target architecture, engineering practices and delivery governance across a polyglot engineering platform spanning React, TypeScript, Node.js, NestJS, MongoDB/Mongoose, GraphQL Federation, Kafka, Python/FastAPI and n8n-based automation. You set target architecture and engineering standards, and stay close enough to the code to assure designs you approve. You own identity, data, event-driven and AI-assisted engineering architecture, translating strategy into a funded roadmap for the engineering team and its sub-pods.
Key Responsibilities:
• Define the target technical architecture for the platform, including architecture principles, reference patterns, and the roadmap from current to target state. • Govern architecture decisions through documented decision records, design review, and conformance checkpoints, escalating material trade-offs for approval. • Architect the React/TypeScript frontend, covering component structure, state management, performance budgets, and accessibility standards. • Direct backend service architecture in Node.js/TypeScript (NestJS), including service boundaries, API contracts, resilience patterns, and versioning strategy. • Define the data architecture across MongoDB, covering schema and access-pattern design, indexing strategy, data lifecycle, and integrity controls. • Own the GraphQL Federation architecture: supergraph composition, subgraph boundaries, schema contracts, entity resolution, and breaking-change policy. • Establish event-driven architecture on Kafka, defining topic and event contract design, partitioning, delivery semantics, and schema evolution rules. • Set the identity and access architecture, covering authentication and authorization flows, token handling, session policy, and least-privilege service access. • Guide the Python/FastAPI service architecture, defining where it is the correct tool, its contract and packaging conventions, and its integration with the wider platform. • Scope and constrain n8n usage to workflow automation and integration orchestration, defining the guardrails that distinguish automation workflows from engineered application services. • Own the AI architecture, covering model integration and routing, prompt and tooling boundaries, evaluation criteria, and safety and cost controls. • Assure evidence-based application readiness for Docker and Kubernetes, ensuring applications correctly consume platform-owned Helm charts and GitHub Actions pipelines rather than duplicating them. • Set runtime performance and observability standards, including Azure Cache for Redis caching patterns and Application Insights instrumentation, tracing, and alerting. • Partner with the engineering team and its sub-pods to raise engineering practices, embed the testing strategy across unit, integration, contract, and end-to-end layers, and sustain predictable delivery flow.
Must Have Skills:
• Proven technical leadership of an engineering team at Lead Technical Architect or Principal Architect scope. • Deep expertise in TypeScript, React, Node.js, NestJS, MongoDB/Mongoose and Web Components/micro-frontends. • GraphQL schema design and federated graph architecture (GraphQL Federation), including subgraph composition and contract versioning. • Experience with event-driven architecture using Kafka, Schema Registry and Avro, including schema evolution and compatibility governance. • Experience with identity and access architecture: OAuth2/OIDC, Okta, service-account token exchange and ABAC. • Working knowledge of Python/FastAPI in a polyglot service environment. • Experience integrating AI capabilities in production systems, including Azure OpenAI and Anthropic model routing, with attention to prompt governance, token-cost control and PII safeguards. • Strategy and architecture governance in a cross-functional environment. • Cloud-native, distributed systems design with deployment readiness ownership for Docker/Kubernetes applications consuming platform-owned Helm/GitHub Actions. • Demonstrable accountability for delivery, reliability and security outcomes. • Established testing and quality practice across Jest, React Testing Library, Playwright and pytest. • Track record of establishing engineering practices and architecture governance that scale across a complex organization.
Strongly Preferred / Nice to Have:
• TOGAF certification or equivalent structured architecture practice. • Kubernetes, Docker, Infrastructure as Code and DevSecOps experience beyond core application readiness. • Legacy modernization and platform re-architecture at scale. • Platform engineering or SRE practice — service level objectives, observability and operational resilience beyond core responsibilities. • Prior integration delivery against Media ocean Prisma or comparable media buying and finance platforms. • Microsoft Certified: Azure Solutions Architect Expert or equivalent AWS certification
Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent