6 days ago
Chennai, India or Bengaluru, IndiaStaff+
Responsibilities
- Lead QA strategy and roadmap for AI and SaaS platforms, improving automation, test coverage, and release quality.
- Design and implement scalable automation frameworks for API, UI, and data validation testing.
- Use AI tools and develop testing strategies for foundation models, prompt engineering, fine-tuning, RAG, and generative AI frameworks.
- Partner with Data Science and Engineering teams to validate AI/ML workflows, analytics pipelines, and production model integrations.
- Lead performance, security, regression, end-to-end, longevity, reliability, migration, and load testing.
- Ensure testing coverage across microservices, APIs, mobile, and web solutions in a multi-tenant cloud environment.
- Conduct root-cause and trend analysis and recommend process or automation improvements.
- Document QA processes, release notes, and best practices in Confluence and Jira.
- Maintain alignment with Agile/SAFe practices and provide QA team mentorship or leadership.
Requirements
- Bachelor’s degree in Computer Science or Engineering.
- 9+ years of experience in Software Quality Assurance, including significant automation experience.
- Expert-level proficiency in at least one of Java, Python, JavaScript, or TypeScript.
- Ability to understand complex features and write effective test cases, automation scripts, validations, and assertions.
- Strong hands-on experience creating and maintaining custom test automation frameworks.
- Experience testing complex systems for end-to-end, longevity, reliability, migration, and performance concerns.
- Experience building and deploying AI testing strategies for foundation models, prompt engineering, fine-tuning, RAG, or generative AI frameworks such as LangChain and Guidance.
- Deep understanding of CI/CD workflows and tools such as Jenkins, GitHub Actions, GitLab CI, and CircleCI.
- Ability to understand distributed systems and design test strategies for them.
- Strong analytical, debugging, and problem-solving skills.
- Familiarity with microservices architectures and related testing methodologies.
- Experience with performance or load-testing tools such as JMeter, Gatling, or k6.
- Hands-on experience with GCP, AWS, or Azure.
- Experience in Agile/Scrum environments, prior QA leadership or mentorship, and testing data-driven applications.
Benefits
- Preferred locations are Bangalore, India, or Chennai, India.
- Uniphore is an equal opportunity employer committed to diversity in the workplace.
Tech Stack
Apache JMeterAWSAzureCircleCIGitHub ActionsGitLab CI/CDGoogle Cloud PlatformJavaJavaScriptJenkinsPythonTypeScript
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