Lead Full Stack Engineer

V2 Solutions; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

V2 Solutions in Chennai, Tamil Nadu is seeking a Lead Full-Stack Engineer (Data Products) with 6–9 years of experience to design, build, and operate scalable, data-driven applications end‑to‑end. This role blends data engineering, backend API development, and frontend delivery on AWS, with technical leadership, mentoring, and ownership of end‑to‑end features.

You will guide architecture, ensure quality, implement robust data pipelines, and collaborate with product, data, and operations teams to

Qualifications

• 6–9 years of software engineering experience with full-stack and data systems.
• Experience in a technical leadership or senior individual contributor role.
• Strong expertise in Node.js (TypeScript preferred) and backend system design.
• Solid experience in React and modern frontend development practices.
• Deep understanding of data engineering concepts (ETL/ELT, idempotency, data quality, schema evolution).
• Advanced proficiency in SQL and working knowledge of MongoDB.
• Hands-on experience with AWS architecture, deployment, and monitoring.
• Strong experience with Docker, CI/CD pipelines, and cloud-native deployments.
• Experience with workflow orchestration tools (Airflow or similar).

Responsibilities

• Technical Leadership: Lead the design and delivery of end-to-end data products and platform capabilities. Define architecture, best practices, and coding standards across backend, frontend, and data layers.
• Data Ingestion Processing: Architect and build robust ingestion pipelines from APIs, files, and operational systems; implement data transformation logic and data models.
• Backend (Node.js / TypeScript): Design scalable, secure backend services; implement REST/GraphQL APIs; ensure reliability and performance.
• Frontend (React / Web UI): Lead development of data-centric interfaces with dashboards and workflows.
• AWS, Deployment Operations: Deploy and manage services on AWS; oversee CI/CD and containerized deployments.
• Engineering Excellence: Enforce Git workflows, testing, and documentation; promote ownership and continuous improvement.

Skills

Node.js (TypeScript preferred)

React

AWS

Docker

CI/CD

Airflow

SQL

MongoDB

Backend system design

Data engineering concepts

Tools

Airflow

Docker

React

Node.js

Job description

Job Description Role: Lead Full-Stack Engineer (Data Products) 6 to 9 Years Location: Chennai, Tamil Nadu (Work from Office)

We are seeking a Lead Full-Stack Engineer (Data Products) to design, build, and operate scalable, data-driven applications end-to-end. This role combines data engineering , backend API development , and frontend delivery , along with cloud architecture and operational ownership on AWS . As a senior individual contributor and technical leader, you will own complex features across the entire lifecycle from data ingestion and transformation to API exposure, UI delivery, and production reliability while mentoring team members and driving engineering excellence.

Key Responsibilities

• Technical Leadership Lead the design and delivery of end-to-end data products and platform capabilities. Define architecture, best practices, and coding standards across backend, frontend, and data layers. Mentor engineers, conduct code reviews, and promote high-quality engineering practices. Collaborate with product, data, and operations teams to translate ambiguous requirements into scalable solutions.
• Data Ingestion Processing Architect and build robust ingestion pipelines from APIs, files, and operational systems. Implement advanced data transformation logic including validation, deduplication, idempotency, enrichment, and reconciliation. Design and optimize data models for SQL (PostgreSQL/MySQL) and MongoDB, ensuring performance and scalability. Lead orchestration efforts using Airflow (or equivalent) : DAG design, scheduling, retries, alerting, and backfills. Establish data quality frameworks, monitoring, and lineage tracking .
• Backend (Node.js / TypeScript) Design and develop scalable, secure backend services using Node.js (TypeScript preferred). Define and implement REST/GraphQL APIs with best practices: pagination, filtering, RBAC, authentication, and rate limiting. Architect distributed systems patterns : event-driven systems, queues, workers, and asynchronous processing. Ensure high code quality through modular design, testing, observability, and performance tuning . Drive improvements in system reliability, scalability, and fault tolerance.
• Frontend (React / Web UI) Lead development of intuitive, scalable UI applications using React. Build advanced data-centric interfaces : dashboards, tables, filters, search, workflows, audit trails, and file handling. Ensure high-quality UX through state management, error handling, and performance optimization . Establish frontend architecture, reusable components, and design consistency.
• AWS, Deployment Operations Architect, deploy, and manage services on AWS with a focus on scalability, reliability, and cost optimization . Work with services such as S3, IAM, EC2/ECS/EKS/Lambda, RDS, CloudWatch , and messaging systems. Implement and maintain containerized deployments (Docker) and oversee CI/CD pipelines. Drive observability practices : logging, metrics, tracing, alerts, and incident response. Lead root cause analysis (RCA) for production issues and implement preventive measures.
• Engineering Excellence Enforce best practices in Git workflows, PR reviews, testing, and documentation . Maintain system documentation: architecture diagrams, runbooks, and data flow documentation . Promote a culture of ownership, accountability, and continuous improvement .

Required Skills Qualifications

• 69 years of experience in software engineering with strong exposure to full-stack and data systems .
• Proven experience in a technical leadership or senior individual contributor role .
• Strong expertise in Node.js (TypeScript preferred) and backend system design.
• Solid experience in React and modern frontend development practices .
• Deep understanding of data engineering concepts (ETL/ELT, idempotency, data quality, schema evolution) .
• Advanced proficiency in SQL (query optimization, indexing, aggregations) and working knowledge of MongoDB .
• Hands-on experience with AWS architecture, deployment, and monitoring .
• Strong experience with Docker, CI/CD pipelines, and cloud-native deployments .
• Experience with workflow orchestration tools (Airflow or similar) .