Performance Engineer (6 Month Remote Contract)
Remote - CST Timezone
Yum MSP – MSP /
Contract /
Remote
About Us:
CompassX is a boutique business and technology consulting firm. We help Fortune 500 and high-growth clients deliver their most strategic initiatives, from enterprise transformations to digital and data-driven projects. With over 15 years of proven results, we’ve expanded across industries including financial services, pharmaceuticals, aerospace, consumer products, and quick service restaurants.
We are honored to be recognized as a three-time winner of Consulting Magazine’s Best Boutique Firms to Work For, and previously recognized as a “Best Place to Work” in Southern California and one of INC.’s 5000 fastest-growing private companies in the U.S.
This Role:
We are seeking a Performance Engineer who will be ultimately responsible for creating and implementing performance testing. As a Performance Engineer, you will be working on complex distributed systems, databases and large clustered datasets. You will focus on optimizing overall product performance. You'll work with the Development, Quality Engineering and Product teams to deliver high quality initiatives for all our products throughout their development life cycles.
The key qualities we're looking for is a true problem solver, someone who enjoys digging deeper and has a need to understand systems and how they're wired. This person will have experience with performance analysis and the ability to develop your own analysis tools and performance tools.
What You'll Do:
- Collaborate with the Engineering, Quality Engineering, Support, Product Management and DevOps teams to review and document requirements, execute performance tests and troubleshoot/resolve (blocking) issues.
- Design and execute different performance test strategies depending on unique project purposes and requirements
- Analyze test results and establish reliable mathematic models for response time, throughput, SLA and other application performance metrics
- Grow and evolve our performance tooling and testing processes to ensure tests are customer-like and representative of real-world scenarios
- Identify existing bottlenecks in the hardware and software platform, application code stack, network and disk IO
- Measure and document reliable predictions on potential bottlenecks as computing platforms and workloads change
- Communicate test results and analysis to Engineering, Operations, PM, Network and DB teams
- Develop unique performance testing tools, analysis methodologies, as well as capacity planning
- Support the Engineering teams with tools and frameworks to enhance system performance, scalability and stability.
- Help and guide other QE teams to develop their own performance test plans and scripts
- Co-ordinate multiple performance test projects within the limited test resources; provide expert opinions in understanding and analyzing their test results
- Identify gaps, issues, or other areas of concern, and proactively define, propose, and enact process and workflow improvements to mitigate such issues.
Qualifications
- Bachelor’s in CS, CIS, engineering, or equivalent experience
- 5+ years of experience in performance engineering.
- 3+ years of experience with code first performance testing tools (e.g., k6, Gatling) and performance analysis via DataDog or similar platforms.
- Advanced coding skills in Javascript or Typescript
- Extensive experience working with microservices architecture, preferably with RESTful and GraphQL APIs.
- 3+ years of hands-on experience in testing APIs, Web applications is a must
- Extensive hands-on experience with AWS cloud services and Kubernetes, including monitoring, scaling, and troubleshooting.
- Proven ability to perform profile/baseline, load and stress testing, soak, spike testing etc.
- Proven ability to drill down into results and complete deep dive root cause analysis
- Strong technical communication and documentation skills
$45 - $65 an hour
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
