We're looking for a hands-on Technical Lead / Manager to drive the architecture, delivery, and technical direction of our full-stack platform. You'll lead a team of engineers building scalable, production-grade systems using Node.js, MongoDB, and AWS, while also owning the roadmap for integrating AI capabilities, microservices architecture, and modern engineering practices across the stack.

This is a role for someone who can code, review architecture, mentor a team, and still speak fluently with product and leadership about trade-offs, timelines, and technical risk.

Key Responsibilities Technical Leadership

Own the technical architecture and design decisions for a scalable, multi-tenant SaaS/CRM platform

Drive migration/evolution from monolith to microservices where it makes sense — no resume-driven architecture

Set and enforce engineering standards: code quality, testing, CI/CD, security, observability

Evaluate and integrate AI/LLM capabilities (e.g., Claude, GPT-based APIs, RAG pipelines, embeddings) into product features where they add real user value

Make build-vs-buy and tech-stack decisions with a clear view of long-term maintainability People & Delivery Management

Lead, mentor, and grow a team of full-stack engineers (sizing: [X engineers])

Run sprint planning, code reviews, and technical 1:1s; balance hands-on coding with people management

Partner with Product/Design to translate business requirements into technical execution plans

Own delivery timelines, identify risks early, and communicate trade-offs clearly to stakeholders

Conduct hiring, onboarding, and performance reviews for the engineering team Solution Design & Architecture

Lead end-to-end solution design for new features and platform capabilities — from requirement gathering through architecture,



HLD/LLD documentation, and technical sign-off

Translate ambiguous business/product requirements into clear technical specifications, data models, and system diagrams

Own High-Level Design (HLD) and Low-Level Design (LLD) artifacts: system architecture diagrams, sequence diagrams, API contracts, data flow, and integration points

Evaluate multiple solution approaches against trade-offs — cost, scalability, time-to-market, maintainability, security — and present recommendations to stakeholders

Define non-functional requirements (NFRs) upfront: performance SLAs, availability targets, security/compliance needs, data retention

Design for scalability and extensibility from day one — capacity planning, horizontal scaling strategy, multi-tenancy considerations

Conduct design reviews and architecture decision records (ADRs) to ensure consistency and knowledge-sharing across the team

Own integration design for third-party systems, AI/LLM services, and internal microservices (API contracts, versioning, backward compatibility)

Partner with Product, QA, DevOps, and Security teams during solutioning to surface risks and dependencies early Hands-On Engineering

Design and build backend services using Node.js / Express, with MongoDB as the primary data store

Architect and deploy scalable systems on AWS (EC2, Lambda, ECS/EKS, S3, RDS, CloudFront, API Gateway)





Build and maintain CI/CD pipelines for automated testing and zero-downtime deployments

Design RESTful/GraphQL APIs and event-driven microservices (Kafka/SQS/SNS)

Ensure system reliability through monitoring, logging, alerting, and incident response practices

Own platform scalability, performance tuning, and cost optimization on cloud infrastructure Required Skills & Experience

10+ years of full-stack software development experience, with 5+ years in a technical leadership or management role

Strong expertise in Node.js, Express.js, and modern JavaScript/TypeScript

Deep hands-on experience with MongoDB — schema design, indexing, aggregation pipelines, performance tuning

Proven experience designing and running microservices architectures at scale

Robust command of AWS services (compute, storage, networking, serverless)

Experience with containerization and orchestration (Docker, Kubernetes/ECS)

Practical experience integrating AI/ML or LLM-based features into production applications

Solid understanding of frontend frameworks (React preferred) and how backend architecture supports frontend performance

Experience building or scaling a CRM, SaaS, or customer-facing platform handling real production traffic

Strong grasp of system design fundamentals: caching, load balancing, database scaling, fault tolerance

Demonstrated experience owning solution design end-to-end — HLD/LLD, architecture diagrams, ADRs, and design reviews for production systems

Comfortable presenting and defending design decisions to technical and non-technical stakeholders (product, leadership, clients)

Excellent communication skills — able to translate technical complexity for non-technical stakeholders

📌 Technical Lead / Manager – Full Stack Engineering (Mern, NodeJS, MongoDB, AI) (Noida)
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📍 Noida