As a Technical Lead, Engine Systems, you will report to Principal Technical Director and own the evolution of performance-critical engine systems for Apex Legends. You will lead development across CPU performance, memory, load times, and platform systems while guiding a team of senior engineers. You will define technical direction, simplify complex systems, and deliver stable, scalable solutions that improve player experience and support live service operations.

Responsibilities:

• Lead and support senior engineers building core engine systems
• Define technical roadmap for performance, memory, and platform systems
• Plan large system changes while maintaining live service stability
• Optimise CPU, memory, streaming, and load time performance
• Architect and implement engine systems using C++
• Partner with design, audio, and animation teams on scalable solutions
• Collaborate with EA Central Tech and platform partners on integrations

Qualifications:

• 10+ years in game development with engine systems experience
• 3+ years leading engineers on complex technical initiatives
• Expertise in C/C++ and performance optimisation techniques
• Experience working across large, mature codebases
• Shipped at least one AAA title on console or PC
• Experience developing for Sony, Microsoft, or Nintendo platforms
• Skilled in debugging, profiling, and optimising live systems

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Reporting line: VP of Engineering

Location: Paris (France) or London (UK)

Key Responsibilities: The Knowledge & Search team is the backbone that connects our customers to the information they need. We are looking for an experienced software engineer to lead our indexing and searching capabilities. In this role, you will work closely with our data and infrastructure teams to build, maintain and scale our search platform while ensuring a high-level of performance and reliability.

Your responsibilities include (but may not be limited to):

• Building, maintaining and enhancing a fast, reliable and scalable indexing and searching capabilities (web and knowledge)

• Working with search-oriented databases to optimise and fine-tune full search pipelines from document ingestion to retrieval

• Owning our information retrieval systems serving both our internal needs as well as our enterprise customers

• Ensuring that our search capabilities meet the increasing demands of our customers

• Collaborate with internal and external stakeholders to push the boundaries of search reliability, performance, and scale across a range and cloud-native and on-premise services.

About you:

• 7+ years of relevant professional work experience

• Master’s degree in Computer Science, Information Technology or a related field

• Experience building and scaling distributed search engine systems

• Excellent proficiency in backend software development (Python, Go, C++, Rust...)

• Solid proficiency in infrastructure management (Docker, CI/CD, Helm, K8s, Terraform...)

• Good knowledge of cloud-native ecosystems

• Autonomous and self-starter

• Ability to communicate with influence

Now, it would be ideal if you had experience with:

• AI/ML engineering

Hiring Process:

Here is what you should expect:

• Introduction call - 30 min

• Hiring Manager Interview - 30 min

• Live-coding Interview (Python) - 45 min

• System Design Interview - 45 min

• Optional: Deep Dive Interview (Staff/Lead specific) - 60 min

• Culture-fit discussion - 30 min

• References

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The Knowledge & Search team is the backbone that connects our customers to the information they need. We are looking for an experienced software engineer to lead our indexing and searching capabilities. In this role, you will work closely with our data and infrastructure teams to build, maintain and scale our search platform while ensuring a high-level of performance and reliability.

Key Responsibilities:

• Building, maintaining and enhancing a fast, reliable and scalable indexing and searching capabilities (web and knowledge)
• Working with search-oriented databases to optimise and fine-tune full search pipelines from document ingestion to retrieval
• Owning our information retrieval systems serving both our internal needs as well as our enterprise customers
• Ensuring that our search capabilities meet the increasing demands of our customers
• Collaborate with internal and external stakeholders to push the boundaries of search reliability, performance, and scale across a range and cloud-native and on-premise services.

About you:

• 7+ years of relevant professional work experience
• Master’s degree in Computer Science, Information Technology or a related field
• Experience building and scaling distributed search engine systems
• Excellent proficiency in backend software development (Python, Go, C++, Rust...)
• Solid proficiency in infrastructure management (Docker, CI/CD, Helm, K8s, Terraform...)
• Good knowledge of cloud-native ecosystems
• Autonomous and self-starter
• Ability to communicate with influence

Now, it would be ideal if you had experience with:

• AI/ML engineering

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Responsibilities

• Plan, execute, and monitor engine dynamometer test activities according to defined test plans
• Take responsibility for the daily operation of multiple engine test rooms
• Coordinate and technically support test technicians and shift activities
• Operate and supervise engine testing using AVL PUMA test bed automation systems
• Ensure correct setup, operation, and maintenance of AVL dynamometers and measurement equipment
• Follow up and resolve test bed hardware and software issues (dyno, automation, instrumentation, DAQ)

Requirements

• BSc or MSc degree in Mechanical Engineering, Automotive Engineering, or related field
• Minimum 1-3 years of professional experience in engine dynamometer test operation and test cell workflows
• Solid understanding of internal combustion engine systems (air path, fuel system, combustion, cooling, lubrication, exhaust)
• Strong troubleshooting skills for hardware, instrumentation, and software issues
• Good communication skills and ability to work independently in a test environment
• Fluent spoken and written English

Preferred Qualifications

• Experience with emissions, performance, durability, or calibration-support testing
• Experience with AVL PUMA test automation
• Experience coordinating multiple test rooms or shifts

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