Lead Full Stack Engineer

Synergy Maritime; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Synergy Maritime in Chennai is looking for a Lead Full-Stack Engineer (Data Products) with 6 to 9 years of experience. The role involves designing, building, and managing scalable, data-driven applications across the full technology stack.

As a technical leader, you will mentor engineers and lead initiatives in data engineering, backend and frontend development, and AWS operations. The ideal candidate should possess strong skills in Node.js, React, and data engineering concepts.

Qualifications

• 6–9 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 backend system design and frontend development practices.

Responsibilities

• Lead the design and delivery of end-to-end data products.
• Collaborate with product, data, and operations teams for solutions.
• Architect, deploy, and manage services on AWS for scalability.

Skills

Node.js (TypeScript preferred)

React

Data engineering concepts

AWS architecture and deployment

SQL

Docker

Workflow orchestration tools (like Airflow)

Debugging and analytical skills

Tools

PostgreSQL

MySQL

MongoDB

Airflow

Event-driven architectures

Job description

Lead Full-Stack Engineer (Data Products) 6 to 9 Years

About the Role

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

• 6–9 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).
• Strong debugging and analytical skills across distributed systems.

Preferred Qualifications

• Experience with event-driven architectures (Kafka, RabbitMQ, etc.).
• Knowledge of microservices and domain-driven design (DDD).
• Exposure to data platforms, analytics systems, or ML pipelines.
• Experience in high-scale or data-intensive environments.

Leadership & Behavioral Expectations

• Strong ownership mindset — drives initiatives independently from concept to production.
• Excellent collaboration and stakeholder management skills.
• Ability to work in ambiguous, fast-paced environments and make pragmatic decisions.
• Passion for mentoring and building high-performing engineering teams.