
Lead Automation Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- You will be #LI-hybrid based in Hyderabad and reporting to Director
- Own the overall quality strategy, including functional, automation, performance data, and security testing for the product or program.
- You will Lead and mentor a team of test engineers, driving best practices.
- Architect, design, and implement robust, scalable automation frameworks and testing strategies.
- Partner with developers, DevOps, product management, and business stakeholders to embed quality early in the development lifecycle (Shift-Left)
- Define and monitor quality metrics, KPIs
- Drive root cause analysis for critical defects and implement corrective and preventive measures.
- Lead automation-first practices to accelerate release cycles.
- Contribute to release governance processes, production signoff and risk assessments.
- Advocate for testability, reliability, and observability in software design and architecture discussions.
- Bachelor's degree in computer science, Engineering, or related field
- 10 years of hands-on experience in a quality engineering or test automation role for software systems.
- Minimum 2-3 years in technical leadership or test lead role managing test teams or cross functional squads.
- Proven track record in delivering quality for large-scale, cloud-native systems.
- Experience working in regulated industries like finance, insurance
- Passion for driving a quality mindset, continuous improvement, and engineering excellence.
- Strong expertise in QA methodologies, Agile testing, SDLC, DevOps and continuous testing practices.
- Proficiency in test automation tools such as Selenium, Cypress, Playwright or similar.
- Experience in API testing using Rest Assured, Karate, Postman or similar.
- Expertise in building and scaling test automation frameworks for UI, API, data and backend systems.
- Strong CI/CD pipeline management using Jenkins, GitHub Actions or Bamboo.
- Hands-on experience testing cloud-native architecture (AWS preferred) - including services like S3, Lambda, Glue, Step Functions, Event Bridge, Batch and more
- Solid experience in SQL, database, and Big Data validation.
- Familiarity with observability, monitoring and alerting systems like CloudWatch, SplunkHighly Desirable and Useful skills:
- Hands-on experience in Big Data testing, AWS glue pipelines, and data lakes.
- Exposure to AI/ML model testing and validation.
- Knowledge of performance testing tools (e.g., JMeter, Gatling).
- Basic understanding of security testing principles and tools.
- Lead automation strategy in multi-cloud or hybrid environments.