Staff Software Engineer - Full Stack (Performance Engineering) (Hybrid/Onsite) - job 4 of 20

As a Staff Software Engineer - Full Stack (Performance Engineering) at our company, you will be primarily responsible for developing performance plans and conducting performance and chaos engineering activities. This includes simulating workload limits for critical applications, conducting root cause analysis for performance issues, and collaborating with various teams to enhance application performance. Your hands-on involvement with performance testing, monitoring, and documentation will be key to ensuring high availability and resiliency across our systems.

To qualify for the Staff Software Engineer - Full Stack (Performance Engineering) position, you should have a profound understanding of application performance KPIs and performance modeling. Additionally, a solid grasp of microservices architecture and Linux systems is essential. Being proficient in at least one programming language, such as GoLang, Python, or Java, as well as experience in creating performance test strategies and chaos testing scenarios, will also significantly enhance your candidacy.

In the role of Staff Software Engineer - Full Stack (Performance Engineering), you will be an integral part of the Open VisaNet performance engineering team. You'll collaborate with various departments, including Development, Test Engineering, Support, and Project Management. Working in a cross-functional environment, you will share insights, document findings, and contribute to improving our application’s performance, making teamwork a core element of this role.

Chaos engineering is crucial in the Staff Software Engineer - Full Stack (Performance Engineering) role, as it helps identify potential resiliency weaknesses in microservices. By conducting chaos-resiliency evaluation experiments, you can uncover vulnerabilities and failure points that may not be obvious during regular testing. This proactive approach enables the team to develop strategies that enhance system reliability and performance under various conditions, ensuring that our services remain resilient.

For the Staff Software Engineer - Full Stack (Performance Engineering) position, familiarity with tools for performance monitoring, chaos testing, and load testing will be essential. You should also have experience writing code in programming languages like GoLang, Python, or Java. Additionally, understanding Linux memory management, processes, and network protocols will aid in creating effective performance strategies and testing scenarios.

In your response, discuss your process for identifying key performance metrics and the methodologies you use for testing those metrics. Mention any specific tools you have used for performance testing and your experience in creating performance test cases tailored to the application's needs.

Share examples of chaos experiments you have conducted in the past. Discuss what you learned from those experiments and how they informed your performance engineering strategies. Providing specific case studies will showcase your hands-on knowledge in this area effectively.

Discuss key performance indicators such as response time, throughput, error rates, and resource utilization. Explain how you prioritize these metrics based on specific application needs and why they matter for overall system performance.

Describe your systematic approach to root cause analysis, emphasizing tools and techniques you use for diagnosing problems. Explain how you collaborate with developers and other stakeholders to rectify performance issues efficiently.

Talk about your experience in creating load testing scenarios. Explain the types of tools you have used and how you determine the appropriate load levels to simulate real-world usage, ensuring the application can handle peak demands.

Explain the importance of documentation in your performance engineering role. Discuss how you create performance reports, share insights with team members, and what systems you use to maintain knowledge transfer within your team.

Discuss how you develop performance models tailored to specific application non-functional requirements. Share insights on how effective modeling influences overall application performance and supports strategic decision-making.

Outline your approach to staying informed about industry trends, tools, and best practices. Mention relevant resources like blogs, courses, webinars, or conferences that you engage with to enhance your skills.

Share a specific instance where you identified a performance bottleneck and implemented changes that resulted in measurable improvements. Emphasize the techniques used and how they impacted the overall system.

Discuss how you collaborate with agile teams to ensure performance considerations are integrated into the development lifecycle. Highlight your use of shift-left strategies and how you provide guidance throughout the development process.