Performance Engineer - Open Source

Accountabilities: • Drive software performance, efficiency, scalability, and correctness within a specific engineering project.

• Analyze systems, applications, and code to identify bottlenecks, performance regressions, scalability constraints, and opportunities for optimization. • Develop and improve shared tools, infrastructure, dashboards, measurement frameworks, and reporting capabilities for performance analysis. • Strengthen test harnesses, pipelines, benchmarks, and engineering processes to make previously difficult-to-measure areas observable and verifiable. • Apply performance engineering techniques across different layers of the stack, from CPU and kernel behavior through runtimes, databases, applications, and web technologies. • Collaborate with engineers and open source communities across different regions and technical disciplines to solve complex performance challenges. • Teach, mentor, and develop performance engineering skills within teams, helping establish a stronger culture of measurement, efficiency, and technical rigor. • Lead performance initiatives and influence engineering teams through technical expertise, clear communication, and practical recommendations. • Review code and technical designs with a focus on performance, scalability, efficiency, and correctness. • Work with hardware and cloud ecosystems to optimize software stacks for different architectures, CPU families, and hypervisors. • Share insights, tools, and practices across engineering teams to raise performance standards throughout the product portfolio.

Requirements:

• Demonstrated experience improving software performance, efficiency, scalability, or correctness through practical engineering work, personal initiatives, or professional projects. • Strong experience with Linux, ideally including Debian or Ubuntu environments. • Solid understanding of performance engineering concepts and the ability to investigate systems across multiple layers of the technology stack. • Knowledge of low-level CPU behavior, including caches, registers, memory, vectorization, and assembly language, is valuable. • Experience with kernel performance concepts such as scheduling, context switching, and hardware acceleration is a plus. • Familiarity with distributed systems performance, tracing, debugging, compiler optimization, profiling, or runtime performance. • Experience with performance measurement and profiling tools such as eBPF, D-Trace, flamegraphs, or comparable technologies. • Knowledge of benchmarking frameworks and performance measurement tools such as Phoronix Test Suite is beneficial. • Experience with one or more programming languages such as C, C++, Rust, Go, Python, Java, JavaScript, Node.js, or Dart. • Familiarity with database performance evaluation, including query plans, indexing, data modeling, tracing, and monitoring, is an advantage. • Strong analytical thinking and the ability to translate complex performance data into practical engineering decisions. • Excellent written and spoken English, with strong presentation and communication skills. • Demonstrated leadership, initiative, and commitment to mentoring and developing technical skills in others. • Confidence to exchange feedback, challenge assumptions respectfully, and share ideas openly. • Strong interpersonal skills, curiosity, flexibility, accountability, and a results-oriented mindset. • Passion for technology demonstrated through personal projects, open source contributions, technical experimentation, or other initiatives. • A bachelor's degree in Computer Science, Mathematics, Physics, or a related technical discipline is preferred. • Willingness and ability to travel internationally twice a year for company events lasting up to two weeks.