Software Engineer AI / Full Stack

DXC Technology; Dubai; On-site; AED 200,000 - 380,000; Full time

Job summary

DXC Technology in Dubai is seeking a Software Engineer – AI / Full Stack to design, develop, test, and deploy scalable cloud-native applications and microservices.

You will build backend services with C#/.NET Core, Node.js/TypeScript, Python, and React, run on AWS, and implement CI/CD, IaC, and automated testing to deliver production-grade software.

Collaborate across teams, participate in agile ceremonies, and contribute to architecture decisions for reliable, scalable systems.

Qualifications

• Production-grade microservices with C# and .NET Core.
• Node.js and TypeScript proficiency.
• Python programming experience.
• Understanding of RESTful APIs and microservices architecture.

Responsibilities

• Design, develop, test, and deploy scalable microservices.
• Build backend services with C#/.NET Core, Node.js/TypeScript, and Python.
• Design cloud-native solutions on AWS.
• Containerize with Docker and AWS ECS.
• Develop serverless apps using AWS Lambda and API Gateway.
• Manage data with DynamoDB, RDS, and ElastiCache.
• Configure load balancing and AWS availability features.
• Use CloudFormation and IaC for deployments.
• Create automated End-to-End tests.
• Participate in code reviews and standards.

Skills

C#/.NET Core

Node.js / TypeScript

Python

React.js

RESTful APIs

AWS cloud services

Docker

AWS ECS

AWS Lambda

AWS API Gateway

DynamoDB

RDS

ElastiCache

CloudFormation / IaC

CI/CD

End-to-End testing

Tools

Docker

AWS ECS

AWS Lambda

AWS API Gateway

DynamoDB

RDS

ElastiCache

CloudFormation

SSM

CI/CD tooling

Job description

DXC Technology is seeking a skilled Software Engineer – AI / Full Stack to design, develop, test, and deploy scalable cloud-native applications and microservices.

The successful candidate will work across the full software development lifecycle, building modern backend services, responsive web interfaces, and cloud infrastructure using AWS, C#/.NET Core, Node.js/TypeScript, Python, and React.js.

This role requires a hands-on engineer with strong full-stack development capabilities, cloud engineering experience, and a solid understanding of modern microservices architectures, containerization, Infrastructure as Code, automated testing, and CI/CD practices.

Key Responsibilities

• Design, develop, test, and deploy scalable and high-performance microservices.
• Develop backend services using C#/.NET Core, Node.js with TypeScript, and Python.
• Design and implement cloud-native solutions using AWS services.
• Develop and manage containerized applications using Docker and AWS ECS.
• Develop serverless solutions using AWS Lambda and integrate services through AWS API Gateway.
• Design and implement data solutions using Amazon DynamoDB, Amazon RDS, and Amazon ElastiCache.
• Configure and work with AWS load-balancing and application availability services.
• Manage application configuration and operational parameters using AWS Systems Manager (SSM) and related AWS services.
• Define and manage AWS cloud infrastructure using AWS CloudFormation and Infrastructure as Code (IaC) practices.
• Develop robust unit tests and automated End-to-End (E2E) tests to ensure application reliability and quality.
• Participate in code reviews and contribute to engineering standards, coding practices, and technical design decisions.
• Monitor application and platform health, investigate production issues, and implement appropriate corrective actions.
• Troubleshoot performance, availability, and reliability issues across application and cloud infrastructure layers.
• Work collaboratively with engineering teams to design and deliver production-grade software solutions.
• Participate in Agile development practices, sprint planning, refinement, stand-ups, retrospectives, and technical discussions.
• Share technical knowledge and contribute to continuous engineering improvement.
• Explore emerging technologies and identify opportunities to improve application architecture, engineering productivity, and platform capabilities.
• Contribute to innovation initiatives and evaluate new technologies relevant to AI, cloud, software engineering, and application modernization.

Required Qualifications

• Strong hands-on experience developing production-grade microservices using C# and .NET Core.
• Strong experience with Node.js and TypeScript.
• Strong programming experience with Python.
• Solid understanding of RESTful APIs, service integration, and microservices architecture.
• Experience designing scalable, maintainable, and resilient backend services.

Frontend Development

• Experience developing responsive and user-friendly web interfaces.
• Understanding of frontend architecture, component-based development, and API integration.
• Strong hands-on experience with AWS cloud services.
• Experience with AWS ECS and Docker containers.
• Experience developing and deploying applications using AWS Lambda.
• Experience with AWS API Gateway.
• Experience working with Amazon DynamoDB and Amazon RDS.
• Experience with Amazon ElastiCache or comparable caching technologies.
• Experience with AWS load-balancing technologies.
• Experience with AWS Systems Manager (SSM) and related operational services.
• Strong understanding of cloud-native application architecture and distributed systems.

Infrastructure as Code

• Hands-on experience with AWS CloudFormation.
• Strong understanding of Infrastructure as Code (IaC) principles.
• Experience defining, provisioning, and managing cloud infrastructure through automated and repeatable deployments.

Testing & Quality

• Strong understanding of software testing principles.
• Experience implementing automated End-to-End (E2E) testing.
• Ability to design software with testability, reliability, and maintainability in mind.

Containers & CI/CD

• Hands-on experience with Docker and containerized application development.
• Understanding of virtualization and containerization technologies.
• Experience working with CI/CD pipelines and automated build, test, and deployment processes.

Preferred Qualifications

• Experience working on AI-enabled applications or platforms.
• Experience integrating AI/ML capabilities or services into cloud-native applications.
• Experience with AWS AI/ML services is an advantage.
• Experience designing event-driven or serverless architectures.
• Experience with distributed systems and highly available cloud applications.
• Experience with observability, application monitoring, logging, and performance optimization.
• Experience with automated infrastructure provisioning and deployment.
• Experience working in large-scale enterprise environments.
• Experience with Agile/Scrum development methodologies.

Technical Skills

Testing: Unit Testing, Automated Testing, E2E Testing

DevOps: CI/CD, Automated Deployment, Monitoring, Production Support

What You Will Bring

• Strong software engineering fundamentals and a passion for building high-quality production systems.
• Ability to work across both frontend and backend technologies.
• Strong problem-solving and troubleshooting capabilities.
• Ability to design scalable and maintainable cloud-native solutions.
• Strong understanding of modern microservices and distributed application architectures.
• Ability to collaborate effectively with cross-functional engineering teams.
• Strong communication and technical documentation skills.
• A continuous-learning mindset with an interest in emerging cloud, AI, and software engineering technologies.
• Ability to work effectively in an Agile environment and contribute to shared engineering objectives.