Job Summary

Lead QA strategy and roadmap for Uniphore s AI and SaaS platforms, driving continuous improvements in automation, coverage, and release quality.

Responsibilities

- Design and implement scalable automation frameworks for API, UI, and data validation testing. Expertise using AI tools for automation.
- Partner with Data Science and Engineering teams to validate AI/ML workflows, analytics pipelines, and model integration within production environments.
- Lead efforts in performance, security, and regression testing, ensuring Uniphore s enterprise platforms deliver reliability at scale.
- Perform root cause and trend analysis to identify process gaps and recommend automation or process enhancements.
- Document QA processes, release notes, and best practices in Confluence / Jira and maintain alignment with Agile/SAFe practices.
- Ensure end-to-end testing coverage across microservices, APIs, mobile, and web-based solutions in a multi-tenant cloud environment.

Qualifications

- Bachelor s degree in Computer Science, Engineering
- 7-10+ years of experience in Software Quality Assurance, including significant automation experience.
- Expert-level proficiency in at least one programming language (e.g., Java, Python, JavaScript, TypeScript).
- Ability to understand complex features, write quality test cases, and automation test scripts with the right level of validation and assertions.




- Solid hands-on experience creating and maintain custom test automation frameworks
- Experience testing complex systems for end-to-end, longevity, reliability, migration, and performance testing.
- Experience using building and deploying AI testing strategies for foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG) or Generative AI frameworks (LangChain, Guidance etc)
- Deep understanding of CI/CD workflows and tools (e.g., Jenkins, GitHub Actions, GitLab CI, CircleCI).
- Proven ability to understand complex, distributed systems and design test strategies for them
- Excellent analytical, debugging, and problem-solving skills.

Preferred Skills

- Familiarity with microservices architectures and related testing methodologies.
- Experience with performance/load testing tools (JMeter, Gatling, k6).
- Hands on experience with cloud platforms (GCP/AWS/Azure). Familiarity with at least one of them is ideal.
- Experience working in Agile/Scrum environments.
- Prior mentorship or leadership experience in QA teams.
- Prior experience of testing data driven applications.

Location preference: India - Bangalore

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📌 Senior Staff Software Engineer (SDET) (Bengaluru)
🏢 Uniphore Software Systems
📍 Bengaluru