Hinjewadi, Pune, India
Onsite
We are looking for a Senior QA Automation Engineer who combines deep automation expertise with modern AI and cloud technologies. This role offers the opportunity to architect next-generation QA frameworks, integrate AI-driven validation strategies, and drive quality transformation at scale. You will play a critical role in building intelligent, automated quality systems that directly impact product reliability, release velocity, and customer satisfaction. In your first year, you will lead automation strategy, implement scalable frameworks, and elevate overall QA maturity across teams.
Design, architect, and implement scalable QA automation frameworks using Python and modern tooling.
Lead end-to-end automation strategy across functional, regression, API, and AI-driven testing.
Develop intelligent test solutions leveraging AI/ML concepts, prompt engineering, and LLM-based validation approaches.
Integrate automation pipelines with CI/CD systems and cloud environments (AWS/Azure/GCP).
Collaborate with development, DevOps, and product teams to ensure high-quality releases.
Drive test data automation, environment management, and performance validation strategies.
Mentor QA engineers and promote best practices in automation, tooling, and quality governance.
Continuously evaluate emerging AI and testing technologies to improve efficiency and coverage.
Minimum 7+ years of experience in QA automation design and implementation.
Strong expertise in Python-based automation frameworks and related libraries.
Hands-on experience with AI concepts, prompt engineering, and LLM-based systems.
Experience working with cloud platforms (AWS/Azure/GCP) and CI/CD pipelines.
Strong understanding of automation architecture, API testing, and scalable test strategies.
Excellent problem-solving, analytical thinking, and debugging skills.
Strong communication and collaboration abilities across cross-functional teams.
Bachelor’s degree in Computer Science, Engineering, or related field (preferred).
Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.
As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.
Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.
All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:
- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.
- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).
- Demonstrative knowledge of information security through internal training programs.