We are hiring a hands-on Technical Manager who will be our technical head, chief architect and trusted technical advisor. You will own the architecture of a microservices-based, highly scalable portal, lead AI development and enablement across the product, and run a full stack Node.js engineering team on AWS. This is a player-coach role: you set direction for the business, design the system, review code daily and step in to build when it matters.

Key responsibilities
Architecture and technical leadership
• Own the end-to-end architecture of a microservices-based portal built to scale to millions of users and high concurrency.
• Define service boundaries using domain-driven design, plus API standards (REST, GraphQL, gRPC) and event-driven patterns (Kafka, SQS/SNS, EventBridge).
• Design for high availability, fault tolerance, horizontal scaling, caching, and multi-region disaster recovery.
• Lead architecture reviews, write Architecture Decision Records (ADRs) and maintain the technical roadmap.
• Drive the migration of legacy monoliths to microservices where needed, with zero-downtime rollouts.
• Set performance budgets and SLOs, and own capacity planning and cost-to-serve. AI development and enablement
• Lead the AI strategy: identify use cases, build proofs of concept and take AI features to production.
• Architect LLM-powered features using Retrieval-Augmented Generation (RAG), AI agents, tool/function calling and the Model Context Protocol (MCP).
• Work with leading model providers and platforms such as Anthropic Claude, OpenAI, Google Gemini, Amazon Bedrock and Amazon SageMaker.
• Build and govern vector search (pgvector, OpenSearch, Pinecone or similar), prompt management, evaluations and guardrails.
• Set up LLMOps/MLOps: model versioning, evaluation pipelines, observability, cost and latency monitoring.




• Enable the wider team to use AI coding assistants and agentic tools productively and safely.
• Ensure responsible AI practices: data privacy, PII handling, bias checks, and compliance with the DPDP Act and GDPR. Engineering management
• Lead, hire, mentor and grow a cross-functional team; run 1:1s, career plans and performance reviews.
• Run Agile/Scrum delivery: sprint planning, estimation, release management and stakeholder reporting.
• Enforce engineering standards: code reviews, clean code, SOLID principles, test coverage and documentation.
• Translate business requirements into technical plans, timelines and resource estimates.
• Act as the technical advisor to leadership, clients and product teams on build-vs-buy, vendor and technology choices.
• Manage technical debt, risks and escalations, and own production incidents and post-mortems. Cloud, DevOps and security
• Own the AWS architecture and the monthly cloud budget, following the AWS Well-Architected Framework.
• Drive CI/CD, Infrastructure as Code (Terraform, AWS CDK or CloudFormation) and GitOps practices.
• Run containerised workloads on Docker, Kubernetes (EKS) and ECS/Fargate, plus serverless on Lambda.
• Set up observability: logging, metrics, tracing and alerting (CloudWatch, OpenTelemetry, Grafana, Datadog or Current Relic).
• Embed DevSecOps: OWASP Top 10, IAM least privilege, secrets management,



vulnerability scanning and audits (ISO 27001 / SOC 2 readiness). Mandatory technical skills Backend
- Node.js (expert), TypeScript, Express / NestJS / Fastify, REST, GraphQL, gRPC, WebSockets Microservices
- Domain-driven design, API gateway, service mesh, saga and CQRS patterns, circuit breakers, idempotency, distributed tracing Frontend
- React.js and Next.js (SSR/SSG), state management, micro-frontends, responsive and accessible UI Databases
- PostgreSQL / MySQL, MongoDB, DynamoDB, Redis; schema design, indexing, sharding and query tuning Messaging
- Kafka / Amazon MSK, RabbitMQ, SQS/SNS, EventBridge AWS
- EC2, ECS/Fargate, EKS, Lambda, API Gateway, S3, CloudFront, RDS/Aurora, DynamoDB, ElastiCache, Cognito, IAM, VPC, CloudWatch, Bedrock AI / GenAI
- LLM APIs, RAG, AI agents, prompt engineering, embeddings and vector databases, LangChain / LlamaIndex or equivalent, MCP, evaluation and guardrails DevOps
- Docker, Kubernetes, Terraform / CDK, GitHub Actions / GitLab CI / Jenkins, blue-green and canary deployments Security
- OAuth 2.0, OpenID Connect, JWT, SSO, encryption at rest and in transit, OWASP Top 10, WAF Quality
- Unit, integration, contract and load testing (Jest, Playwright, k6 / JMeter), SonarQube, TDD Experience and qualifications
• 12+ years in software development, with 6+ years in Node.js full stack development.
• 5+ years designing and running microservices in production on AWS at high scale.
• 4+ years managing engineering teams of 10 or more, including hiring and performance management.
• 2+ years building and shipping AI / GenAI features into live products.
• Proven delivery of at least one large-scale portal or SaaS platform from architecture to launch.
• B.
E. / B.
Tech / M.
Tech / MCA in Computer Science or a related field.

📌 Technical Manager/ Sr Manager (Noida)
🏢 Makerspace Masters
📍 Noida