Electronic Arts

Senior Software Engineer

We are EA

And we make games – how cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is hard. That’s why we employ the most creative, passionate people in the industry.

The EA Information Technology group (EAIT) works as a global team to empower EA's employees, studios and business operations to be creative, collaborative, and productive. As a digital entertainment company, EA's enterprise technology needs are diverse and span across game development, workforce collaboration, marketing, publishing, player experience, security, and corporate activities. Our mission is to bring creative technology services to each of these areas, working across the company to "ensure better play."

About the Role

We are looking for a Lead Fullstack Software Engineer to join our AI Technologies Engineering team, reporting to the Senior Engineering Manager, AI Technologies. In this role, you will lead the design, development, and deployment of innovative applications and services powered by Generative AI (GenAI), driving technical excellence and delivering impactful business solutions.

As a technical leader, you will architect, develop, and optimize fullstack applications, ensuring seamless integration across front-end, back-end, and cloud-based AI services. Your work will enhance efficiency, improve user experiences, reduce friction, and enable entirely new business capabilities made possible through GenAI-driven innovations.

In addition to your direct engineering contributions, you will mentor engineers, establish best practices, and drive engineering excellence across the stack. You will collaborate closely with product managers, architects, and AI specialists to create scalable, high-performance, and secure applications. This role requires a deep understanding of modern fullstack development, cloud technologies, microservices architecture, API design, and DevOps practices.

Key Responsibilities

• Design and build secure, efficient, and scalable web applications, APIs, and backend services.

• Engineer Generative AI-powered solutions and applications

• Drive code quality, security, performance optimization, and DevOps.

• Lead and mentor an international team of engineers

• Apply modern software architecture and engineering best practices

Experience:

Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialogue to be considered.

• Bachelor/Master's degree in Computer Science, Computer Engineering, or related field or equivalent experience

• 10+ years of job experience in a hands-on coding role

• Experience using Generative AI software engineering solutions, such as GitHub CoPilot

• You have experience with multiple programming languages and frameworks (specifically Python, HTML, CSS, JavaScript, React, and C#)

• Experience engineering secure, scalable, efficient, and well architected software

• Experience engineering RESTful web services and modern web applications

• Experience configuring and deploying cloud services, such AWS ECS / Fargate, AWS Serverless, Azure Functions, AWS Lambda, etc...

• Experience managing version control solutions, static code analysis, and performing code reviews

• You have experience with load testing, troubleshooting, and optimizing performance of web services

• Excellent collaboration and problem-solving skills

Beneficial Experience

• Knowledge of reinforcement learning, natural language processing, and other advanced AI techniques.

• Experience with cloud-based AI services and infrastructure.

• You have experience working in large data-driven services

• Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.

• Experience with Generative AI solutions, such as Azure AI Studio, AWS Bedrock, and Hugging Face