Description
As the Senior Technical Engineering Manager for EA SPORTS FC QVE, you will be a highly technical, hands-on leader embedded within the franchise, focused on fundamentally redefining software quality. You will achieve this by architecting scalable, AI-driven platforms and upholding a high standard for technical rigor across one of the world's largest sports titles.
Key Responsibilities:
Technical Vision & Platform Ownership: Lead the technical vision, architecture, and delivery of production-grade, scalable quality platforms for the FC franchise. Hands-on Engineering Leadership: Provide expert technical guidance and hands-on code contributions (C++, C#, Python) to optimize game quality systems. AI & Cloud Integration: Architect and integrate Generative AI, Machine Learning, and cloud-native technologies into automated testing pipelines to minimize defect escapes and dramatically shorten developer feedback loops. Operational Excellence: Drive modern CI/CD practices and implement durable system designs to eliminate technical debt and ensure operational excellence. Team Development & Mentorship: Hire, mentor, and develop a high-performing team of software engineers, coaching them to apply systems thinking, automate relentlessly, and resolve root causes. Strategic Execution: Translate broad quality strategies into concrete technical requirements, owning a milestone-aligned roadmap with clear delivery commitments. Cross-Functional Alignment: Act as a technical force multiplier, aligning Development, QV, and Production leaders on architectural trade-offs and execution in a high-velocity environment.
Qualifications:
10+ years of professional software engineering experience, with deep expertise in scalable system design and architecture. 5+ years of experience leading engineering teams with direct accountability for complex, large-scale delivery. Proficiency in C++, C#, and Python. Extensive experience designing and managing Cloud-native architectures and modern CI/CD pipelines.
Preferred Experience (Bonus):
Delivering AI/ML-enabled systems or large-scale test automation platforms in a production environment. Working with game engines (Frostbite, Unreal, Unity), rendering pipelines, or real-time systems. Strong understanding of game production pipelines, embedded environments, and highly iterative release cycles.