Title: SDET QA Engineer III
Location: Mountain View, CA
Duration: 12 + Months
 
Job Description:

• Looking for a SDET to design, implement, and scale automation and performance testing solutions for client’s cloud services. The ideal candidate is a strong full-stack QA engineer with deep expertise in Frontend & Backend API automation, API performance testing, and E2E validation
• This role requires close collaboration with product, architecture, and development teams to ensure quality is built into the system from design through release

 
Responsibilities:

• Design, build and maintain scalable automation frameworks for Backend APIs (REST/gRPC) and Web UIs (Frontend).
• Develop performance and load test scripts using JavaScript/TypeScript (k6 or similar tools)
• Build and manage robust test pipelines using Jenkins and GitHub Actions, ensuring seamless integration of automated suites.
• Deep dive into system logs using ELK (Kibana) and Datadog to validate generated events, identify bottlenecks.
• Collaborate closely with PMs and Development team to understand design/architecture, translating requirements into robust E2E test cases.
• Perform defect triage, root cause analysis, and validation, including backend data verification using SQL
• Take ownership of release-level quality and ensure test coverage for monthly or milestone-based deliveries
• Leverage AI tools to write efficient, modern code and stay ahead of automation trends to refine the DQI lab’s toolset.

 
Skills:   

• 5+ years of professional experience as an SDET or Automation Engineer, specifically focusing on Cloud APIs and Frontend automation.
• Strong programming fundamentals (Data Structures, OOP).
• Ability to write performance test scripts using JavaScript or TypeScript (e.g., K6 or similar tools).
• Strong knowledge of Grafana for visualizing metrics and identifying system bottlenecks.
• Hands-on experience with Playwright and Selenium for modern web automation.
• Expertise in REST Assured and JUnit for comprehensive Cloud API testing.
• Proven experience using ELK (Elasticsearch, Logstash, Kibana), Datadog, and Grafana for log analysis and performance monitoring.
• Strong working knowledge of Jenkins, GitHub Actions, and SQL for data validation.

 
Education:        

• Bachelors or Masters in Computers or equivalent

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 70.00/hr.