Senior Performance Engineer

As a Senior Performance Engineer at our company, your key responsibilities include end-to-end performance optimization of Java microservices running in Kubernetes, tuning containerized applications for resource efficiency, and optimizing JVM performance. You'll also handle Spring Boot application profiling, improve database performance, and design load and stress tests using tools like JMeter.

To excel as a Senior Performance Engineer at our company, candidates should have at least 8 years of experience in performance engineering, specifically with Java-based, containerized applications. Deep expertise in JVM internals, Kubernetes, and database optimization are critical. Familiarity with profiling tools and CI/CD practices will also be essential.

At our company, cloud-native performance optimization is a priority. We utilize AWS and GCP to enhance auto-scaling features, networking, and performance within our service mesh. Our Senior Performance Engineer will be actively involved in these initiatives to ensure our applications run smoothly and efficiently.

In the role of a Senior Performance Engineer at our company, you will be using various tools for performance testing, profiling, and monitoring. This includes JMeter for load testing, JVM Flight Recorder for performance diagnostics, and distributed tracing solutions like Jaeger or Zipkin to maintain performance observability.

As a Senior Performance Engineer at our company, you can expect a comprehensive benefits package that includes private premium health insurance, coverage for visa costs and hotel stay upon arrival, an annual airfare allowance, generous parental leave, and 25 days of annual leave in addition to public holidays.

When answering this question, highlight specific projects where you implemented performance optimizations. Talk about your approach to identifying bottlenecks, tools you used such as JProfiler or YourKit, and any measurable results you achieved, such as reduced latency or increased throughput.

Discuss common JVM tuning techniques, such as adjusting garbage collection settings and memory allocation strategies. Share relevant experiences where you applied these strategies successfully, emphasizing the impact on application performance.

Mention your experience with Kubernetes features that optimize performance, such as Horizontal/Vertical Pod Autoscaling, and resource limits. Describe how you’ve fine-tuned applications and the results you delivered in terms of efficiency and scalability.

Provide examples of how you’ve optimized Spring Boot applications, such as improving database connection management or configuring thread pools. Be prepared to discuss specific performance improvements you’ve achieved.

Outline your methodology for addressing database performance problems, including analyzing query execution plans and improving indexing strategies. Offer examples of how you’ve reduced response times or increased database throughput.

List the tools you’ve used for profiling and monitoring performance, such as JMeter, JVisualVM, or OpenTelemetry. Explain how you utilize these tools for diagnosing performance issues and maintaining observability.

Share your experience in integrating performance testing into the CI/CD process. Highlight the tools you used for continuous integration and any challenges you faced, along with the solutions you developed.

Detail your strategies for conducting load and stress tests, including the scenarios you simulate and the metrics you track. Provide insights on how these tests influence your performance optimization efforts.

Discuss your experience with optimizing message-driven architectures using frameworks like Kafka or RabbitMQ. Share how you handle high throughput and low latency to enhance performance in these systems.

Reflect on typical bottlenecks in Java microservices, such as slow database queries or inefficient memory management. Offer insight into how you diagnosed and resolved these issues, resulting in improved performance.