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Senior Full Stack Engineer

Synergy Marine Group

Skills

Required

  • Frontend
  • AWS
  • React
  • Node.js
  • TypeScript
  • Python
  • API design
  • EC2 / EKS / Lambda
  • S3
  • RDS
  • Docker
  • MongoDB
  • SQL
  • PostgreSQL / MySQL
  • Kafka / RabbitMQ

Preferred

  • Agentic AI / LLM-based workflows
  • Airflow
  • ETL/ELT
  • Microservices
  • DDD
  • workflows
  • end-to-end AI
  • GraphQL
  • trails

Full-Stack Engineer – AI Product Development

We're hiring a Lead Full-Stack Engineer to design, build, and operate AI-powered products end-to-end. You'll own complex features across backend, frontend, and cloud infrastructure - combining strong full-stack engineering with a passion for building intelligent, AI-driven applications - while mentoring engineers and driving technical excellence.

Responsibilities

  • Lead design and delivery of end-to-end AI products and platform capabilities
  • Define architecture, coding standards and best practices across backend, frontend and data layers
  • GraphQL
  • APIs
  • data-centric
  • React UIs: dashboards, tables, workflows, audit trails
  • Architect and manage AWS deployments for scale, reliability and cost efficiency
  • Drive observability and CI/CD best practices
  • Mentor engineers, run code reviews, and partner with product & data teams

Requirements

  • 4
  • 8
  • Backend: Node.js with TypeScript (deep expertise); Python preferred
  • API design: auth, RBAC, rate limiting, pagination
  • Distributed systems: event-driven architecture, queues, async processing
  • AWS: EC2/EKS/Lambda, S3, IAM, RDS, CloudWatch
  • Docker, containerized deployments, CI/CD pipelines
  • Frontend: React, state management, performance optimization
  • Data: MongoDB, SQL (PostgreSQL/MySQL), Kafka/RabbitMQ
  • A proven technical leader or senior IC
  • Strong ownership: concept to production
  • Comfortable in ambiguous, fast-paced environments
  • Passionate about mentoring and building high-performing teams
  • Apply now to lead impactful AI products at scale.

Preferred

  • Agentic AI / LLM-based workflows
  • Airflow (or similar) and ETL/ELT concepts
  • Microservices & DDD
  • High-scale, data-intensive environments

Location

Chennai, Tamil Nadu (Work from Office)