Engineering Architect - Full Stack / MERN

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