We are seeking a QA Engineer for a fully remote long-term contract opportunity.
Description:
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
