Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
π€ 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Tait Communications β’ Gurgaon, Haryana, India
Role & seniority: Lead SDET (Automation and GenAI), Automotive; 7β12 years total QA/Automation with 2β3 years in a lead role
Languages: Java, JavaScript, Python
Automation: Rest Assured, Selenium, Playwright, Appium, JMeter
API/Testing: Postman, SoapUI; Cucumber; SQL/NoSQL testing
CI/CD & DevOps: Jenkins, GitLab CI/CD, Azure DevOps
GenAI: OpenAI, Gemini, Claude; GitHub Copilot; AI-assisted test/code generation and analysis
Cloud/Microservices: AWS/Azure/GCP; microservices architecture
QA tooling: Jira, Zephyr, Xray; monitoring/logging tools (e.g., Grafana) favorable
Architect/design scalable, intelligent test automation frameworks for cloud-based services
Develop comprehensive automated test coverage across functional, performance, security, and end-to-end layers; lead CI/CD automation integration
Define quality strategy; oversee defect lifecycle; mentor engineers; champion GenAI integration across SDLC
7β12 years in QA/Automation; 2β3 years in a lead/senior role; cloud-native background preferred
Strong automation framework development in Java/JS/Python with Rest Assured, Selenium, Playwright, Appium, JMeter
GenAI proficiency for test automation, code generation, and analysis; familiarity with Copilot/ChatGPT-like tools
Experience testing in AWS/Azure/GCP, microservices, and API/database testing; proficient in Jenkins/GitLab CI/CD/Azure DevOps
Problem
Job Title: Lead SDET (Automation and GenAI), Automotive
Experience: 7 to 12 Years
Location: Noida/Gurgaon
Strategic Automation Leadership: Architect, design, and implement highly robust, scalable, and intelligent test automation frameworks for complex cloud-based services.
Comprehensive Test Suite Development: Develop robust automated test coverage across functional, performance, security, and end-to-end layers using tools like Playwright, Rest Assured, JMeter, Postman, and Cucumber.
Enforce Code Quality: Conduct code reviews to ensure high standards in both application and test automation code.
Drive CI/CD Integration: Ensure seamless automation within CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps) for faster releases.
Define Quality Strategy: Lead QA planning, execution, and reporting for safety-critical systems with a strong focus on coverage and traceability.
Drive Defect Management: Oversee defect lifecycle with tools like JIRA, Zephyr, and Xray; use GenAI for faster triage and RCA.
Mentor & Innovate: Guide to junior engineers and promote AI-driven testing practices and continuous learning.
Collaborate in Agile Teams: Work cross-functionally with Product, Dev, and DevOps to embed quality throughout the SDLC.
Experience: 7β12 years in QA/Automation with 2 β 3 years in a lead/senior role; cloud-native background preferred.
Automation Expertise: Strong in Java, JavaScript, or Python for automation framework development. Proven skills in building scalable frameworks using tools like Rest Assured, Selenium, Playwright, Appium, and JMeter.
GenAI Proficiency: Hands-on experience with GenAI tools (OpenAI, Gemini, Claude) for test automation, code generation, and analysis. Familiar with GitHub Copilot, ChatGPT, and similar AI-powered dev/test tools.
Cloud & Microservices: Experience testing apps on AWS, Azure, or GCP in microservices-based architectures.
CI/CD & DevOps: Proficient with Jenkins, GitLab CI/CD, Azure DevOps for automation pipeline integration.
Testing Depth: Skilled in API testing (Postman, SoapUI), database validation (SQL/NoSQL), and broad testing methodologies. Strong grasp of functional, performance, security, and end-to- end testing practices.
Soft Skills: Excellent problem-solving, analytical thinking, communication, and collaboration abilities.
High-Impact Work: Contribute to next-gen connected vehicle solutions used globally.
Innovation-Driven: Operate at the edge of automotive, cloud, and Generative AI tech.
Growth-Focused: Opportunities for advancement, leadership, and skill expansion.
Diverse & Inclusive Culture: Join a team that celebrates diverse perspectives and inclusive collaboration.
Collaborative Environment: Work with passionate, talented professionals solving real-world challenges. If you are a visionary Lead SDET who thrives on technical challenges and is excited to shape the future of quality engineering with Generative AI in the connected vehicle space, we encourage you to apply!
Aeris may conduct background checks to verify the information provided in your application and assess your suitability for the role. The scope and type of checks will comply with the applicable laws and regulations of the country where the position is based. Additional details will be provided via the formal application process.
Aeris walks the walk on diversity. Weβre a brilliant mix of varying ethnicities, religions, cultures, sexual orientations, gender identities, ages and professional/personal/military experiences β and thatβs by design. Diverse perspectives are essential to our culture, innovative process and competitive edge. Aeris is proud to be an equal opportunity employer.