Lead SDET

Key Responsibilities

• 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.
• Champion GenAI Integration: Lead the identification, evaluation, and integration of Generative AI tools and techniques throughout the SDLC:
• • Leverage GenAI for automated test case generation and optimization from requirements/specifications.
  • Utilize GenAI for code generation and refactoring within automation frameworks and test scripts.
  • Explore GenAI for predictive defect analysis, root cause suggestion, and anomaly detection
• 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.

Minimum Requirements

• Experience: 7–12 years in QA/Automation with 2 – 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.

Preferred Requirements

• Automotive, Telematics, or IoT experience.
• Familiarity with real-time systems and event-driven architectures (Kafka, RabbitMQ).
• Monitoring/logging tools (eg Grafana).
• Performance tuning and system optimization for large-scale platforms.

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. We're a brilliant mix of varying ethnicities, religions, cultures,
sexual orientations, gender identities, ages and professional/personal/military experiences – and that's by design. Diverse perspectives are essential to our culture, innovative process and competitive edge. Aeris is proud to be an equal opportunity employer.