Site Reliability Engineer, Performance Engineering (m/w/d) - Gigafactory Berlin - Brandenburg

Tesla is accelerating the world's transition to sustainable energy. We continuously develop revolutionary strategies and products within shortest time, and successfully launch them on a large scale. This is only possible through extraordinary speed, innovation, and efficiency.

Gigafactory Berlin-Brandenburg marks a defining moment in Europe for Tesla’s mission of accelerating the world’s transition to sustainable energy. Here we will launch revolutionary products on a massive scale, using extraordinary speed, innovation and efficiency. Our employees will ensure that we achieve our goals, and we welcome you to help us write the next chapter of our success story.

The Role

The Performance Engineering team delivers a seamless digital experience to Tesla customers, employees, suppliers, and robots by proactively optimizing systems to handle varying workloads. Their work enables highly performant applications with end-to-end automated scalability as well as load tests with detailed metric analysis. The group also orchestrates code analysis utilizing instrumentation/profiling and other observability toolsets; they detect & resolve regressions, employing best practices to enhance application capability at large.

This engineer will be responsible for identifying bottlenecks and guiding critical system architecture/design solutions to maintain optimal application performance under heavy-load or high-traffic scenarios. Your contributions will directly improve efficiency, scalability, and end-user experience across multiple verticals — all of which explicitly impact Tesla's bottom line.

• Working on eBPF toolset / Cilium observability tool to bring End to end visibility of the capturing the packets between pods, track Incoming / outgoing traffic from a pod perspective, translate them to meaningful info to where the outgoing requests are landing, how long it was taking for round trip, was there any packet loss
• Analyzing the packet on DNS metrics, unveiling the packet information in automated way to analyze the issues OnDemand
• Collaborate with developers to improve the efficiency of code, refactor algorithms, and implement optimizations (e.g., database query optimization, memory leaks, CPU-intensive processes)
• Perform deep-dive analysis into application code using profiling tools to identify and resolve inefficiencies
• Investigate & resolve performance degradation incidents through root cause analysis
• Use deep diagnostic tools and methods, such as network analysis, database profiling, and code debugging to identify issues

• Expertise in using the profiling tools (e.g., Dotnet-trace, Pprof, PySpy, JProfiler, VisualVM, YourKit, Perf) for application code analysis & performance bottleneck identification
• Deep understanding of cloud infrastructure & container orchestration platforms like Kubernetes or Docker
• Knowledge of CI/CD tools like Jenkins & GitHub for integrating performance testing into release pipeline
• Understanding of TCP/IP, HTTP/HTTPS , DNS, load balancing, and CDN technologies
• Strong experience with scripting languages like Python, Shell, Bash, or Groovy to automate performance testing & monitoring tasks
• Knowledge of JMeter, Gatling, LoadRunner, Vegeta, k6, BlazeMeter, or other load testing frameworks is a plus

What we offer

You will be working in our state-of-the-art Gigafactory where you’ll solve the world's most interesting problems with the best and brightest people who share a passion to change the world. Tesla’s compensation package includes a competitive salary and Tesla shares or bonuses. Typical benefits that we provide are 30 vacation days, an occupational pension, employee life and disability insurances, free EV charging, product discounts and various transportation benefits.

Full-time