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Full Stack Engineer

AkkodisDubai, UAE1 weeks agoMid-Senior
Mid-Seniorfulltime

Skills

engineeringdesignproject management

About This Role

Overview

The Full Stack Product Engineer builds and owns end-to-end solutions across the platform — spanning user interfaces, backend services, APIs, AWS infrastructure, and relational data models.

You'll work closely with Product Owners, designers, and engineers to translate ideas into working software and use modern development practices, including AI-assisted tools, to ship quickly and reliably.

Full Stack Engineering

  • Build and maintain end-to-end product features across frontend, backend, database, and cloud layers.
  • Develop scalable web applications using React on the frontend and Node.js with NestJS or Express on the backend.
  • Design and implement RESTful APIs, backend services, and integration points.
  • Contribute to both monolithic and microservices architectures.

AWS Cloud Development

  • Design, build, and operate cloud-native applications on AWS using services such as Lambda, Step Functions, ECS, S3, API Gateway, SES, SNS, SQS, Load Balancers, and Amazon Aurora PostgreSQL.
  • Apply secure development practices across application and infrastructure layers.

Database Engineering

  • Design, query, and optimize relational database structures in PostgreSQL / Amazon Aurora — including schema design, indexing, and performance tuning.
  • Write efficient SQL and work with ORMs such as Prisma, TypeORM, or Sequelize.

Product Collaboration

  • Work with Product Owners, designers, and stakeholders to shape requirements and deliver usable solutions.
  • Rapidly prototype ideas to validate concepts and accelerate delivery.

Responsibilities

  • Strong proficiency in JavaScript/TypeScript, React, Node.js, HTML5, and CSS3.
  • Hands-on experience with backend frameworks such as NestJS or Express.js.
  • Solid experience developing applications on AWS, including Lambda, Step Functions, ECS, S3, API Gateway, SES, SNS, SQS, Load Balancers, and Aurora PostgreSQL.
  • Strong SQL and RDBMS fundamentals — schema design, indexing, query optimization, transactions, and data modelling.
  • Hands-on experience with ORMs such as Prisma, TypeORM, or Sequelize.
  • Strong problem-solving and debugging skills.

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