Lead Engineer - Engineering Productivity

Electronic Arts is seeking a seasoned Lead Engineer to drive their technical evolution forward. The successful candidate will collaborate with the Technical Director to execute a studio-wide engineering productivity strategy by delivering advanced tooling, automation, and optimised workflows.

Responsibilities:

• Partner with the Technical Director to execute the studio's engineering productivity and workflow transformation strategy.
• Improve creative feedback loops and authoring workflows to reduce the time from idea to player value.
• Leverage AI and automation to streamline engineering, content creation, and operational workflows.
• Develop and evolve build systems, CI/CD pipelines, and engineering workflows.
• Build and maintain highly visible dashboards and operational tooling.
• Develop profiling, diagnostics, and optimisation tooling.
• Work closely with various teams to deliver improvements.
• Build strong technical partnerships with EA central technology teams and partner studios.
• Promote engineering excellence through maintainable architecture, automation, and knowledge sharing.
• Communicate clearly and effectively with team members and stakeholders.
• Prioritise engineering initiatives by evaluating technical work against measurable ROIs.

Must Haves:

• Significant professional software engineering experience.
• Experience building engineering, production, or operational tooling.
• Strong software engineering fundamentals.
• Experience collaborating across disciplines.
• Experience taking ownership of ambiguous technical problems.
• Ability to rapidly learn new technologies, tools, and programming languages.
• Excellent communication and collaboration skills.

Bonus Points:

• Experience working with C++, scripting languages, and web technologies.
• Experience working on live service games.
• Experience developing tools for game engines or proprietary technology.
• Experience building content creation pipelines.
• Experience with build systems and release automation.
• Experience developing profiling, diagnostics, or performance analysis tools.
• Experience mentoring engineers or leading technical initiatives.
• Practical experience integrating agentic workflows into software engineering or content creation workflows.