Software Engineer AI / Full Stack

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

  .

• Build modern, responsive, and intuitive web applications using

  React.js

  and modern JavaScript.

• 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

Backend Development

• 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

• Strong hands-on experience developing web applications using

  React.js

  .

• Strong knowledge of modern JavaScript and TypeScript.

• Experience developing responsive and user-friendly web interfaces.

• Understanding of frontend architecture, component-based development, and API integration.

AWS & Cloud Engineering

• 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.

• Hands-on experience developing

  unit tests

  .

• 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

Backend:

C#, .NET Core, Node.js, TypeScript, Python, Microservices, REST APIs

Frontend:

React.js, JavaScript, TypeScript, Responsive Web Development

AWS:

ECS, Lambda, API Gateway, DynamoDB, RDS, ElastiCache, Load Balancers, Systems Manager

Cloud & IaC:

AWS CloudFormation, Infrastructure as Code, Cloud-Native Architecture

Containers:

Docker, Containerization, Virtualization

Testing:

Unit Testing, Automated Testing, E2E Testing

DevOps:

CI/CD, Automated Deployment, Monitoring, Production Support

Development Methodology:

Agile, Scrum, Code Reviews, Continuous Improvement

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.