Performance Engineer

As a Performance Engineer at RTI, you will design and execute performance tests, conduct performance modeling, and analyze network behaviors. Your key responsibilities include identifying, analyzing, and addressing software bottlenecks, collaborating with development teams to integrate performance benchmarks, and publishing insightful performance test results. It's an exciting opportunity to influence the performance of Connext Professional while working in a dynamic environment.

To be successful as a Performance Engineer at RTI, candidates should have an advanced degree in Computer Science or a related field. Practical experience in performance modeling, testing, optimization, and familiarity with tools like gprof and JMeter is vital. Knowledge of programming languages such as C++, Python, or Java, alongside excellent analytical and problem-solving skills, will also greatly enhance your suitability for the role.

Yes, experience in setting up and maintaining CI/CD pipelines with automated performance testing and benchmarking is beneficial for the Performance Engineer role at RTI. This experience ensures your ability to integrate performance measures into the software lifecycle effectively, enhancing the efficiency of our development processes.

As a Performance Engineer at RTI, you will use a variety of tools such as gprof, perf, JMeter, and LoadRunner among others. These tools will help you handle performance tests, model software behavior, and detect bottlenecks, ensuring optimal performance of Connext Professional, our flagship offering.

RTI prioritizes work-life balance by offering flexible working schedules, support for remote work, and a generous Paid Time Off policy. They also have initiatives like the 'Real Vacation Bonus,' rewarding employees for taking extended leave, which emphasizes their commitment to employee well-being.

When discussing your performance testing process during an interview for the Performance Engineer position at RTI, emphasize the importance of planning, defining performance goals, selecting the right tools, and conducting controlled tests. Share your experiences in identifying bottlenecks and how you analyze data to present actionable insights.

As a performance engineer, key metrics to discuss would include response time, throughput, resource utilization, and latency. Providing examples of how you applied these metrics in your previous roles will demonstrate your expertise in evaluating and optimizing software performance comprehensively.

Describe your structured approach to workload characterization by discussing how you collect data on application usage patterns and resource consumption. Discuss the significance of patterns in informing performance tuning strategies and your experience with real-world scenarios.

Highlight specific tools you are experienced with, such as gprof for profiling, JMeter for load testing, and any custom scripts to collect performance metrics. Explain how you utilize these tools to diagnose performance issues and optimize systems effectively.

Sharing a detailed case study where you identified a performance bottleneck, the analytical approach you took to resolve it, and the outcome will effectively showcase your problem-solving abilities and analytical skills for the Performance Engineer role.

Mention the importance of integrating performance testing in CI/CD pipelines to ensure that performance meets set standards throughout development. Discuss your strategies for aligning with development teams to embed performance considerations from the early stages.

Explain your strategy for managing conflicting priorities by discussing communication, collaboration, and setting clear performance goals with stakeholders. Your ability to manage workload while ensuring quality and performance will be important.

Provide examples of your experience in setting up performance regression tests and how they helped identify unintended performance degradations introduced by new features. This insight will demonstrate your proactive approach to maintaining software performance.

Discuss your analytical approach in creating performance models by simulating various workload scenarios and predicting outcomes. Highlight any experience you have with performance modeling tools or frameworks.

Emphasize the importance of clearly articulating performance metrics and results to both technical and non-technical stakeholders. Provide examples of how effective communication can bridge gaps between performance testing findings and actionable development strategies.