jobapplier

Lead 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
  • backend
  • AI
  • workflows
  • REST/GraphQL APIs

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
  • •Build scalable, secure backend services and REST/GraphQL APIs
  • •Lead 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

  • •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

Preferred

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