Senior Staff SDET : You Code AI Testing Frameworks That Scale!

CareerXperts Consulting; Bengaluru; Vor Ort; INR 1.500.000 - 2.500.000; Vollzeit

Zusammenfassung

A leading consulting firm in Bengaluru is seeking an experienced software engineer to architect testing infrastructure for AI-native enterprise platforms. The role involves leading automation strategies and developing comprehensive testing solutions. Ideal candidates will possess 7-10 years of experience in software development with a strong emphasis on test automation, expertise in CI/CD tools, and proficiency in building AI/ML testing frameworks. Join us to drive impactful releases at global scale.

Qualifikationen

• 7–10+ years of software development experience focused on test automation.
• Experience with building custom test automation frameworks from scratch.
• Hands-on experience with AI testing frameworks.

Aufgaben

• Lead the technical strategy for test automation and infrastructure.
• Develop performance and security testing frameworks.
• Engineer end-to-end testing solutions across microservices.

Kenntnisse

Test automation

Software development

Analytical skills

Problem-solving

CI/CD tools

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Jenkins

GitHub Actions

AWS

JMeter

Jobbeschreibung

What You'll Do

• Architect Testing Infrastructure: Lead the technical strategy and roadmap for test automation, developing scalable frameworks and tools that drive continuous improvements in coverage and release quality
• Build Automation Frameworks: Design, develop, and maintain robust automation frameworks for API, UI, and data validation testing, leveraging AI tools to enhance testing efficiency and coverage
• Engineer AI/ML Test Solutions: Partner with Data Science and Engineering teams to develop specialized testing solutions for AI/ML workflows, analytics pipelines, and model integrations in production environments
• Develop Performance & Security Testing Systems: Build and implement performance, security, and regression testing frameworks to ensure enterprise platform reliability at scale
• Drive Technical Excellence: Conduct root cause and trend analysis to identify technical gaps and develop automated solutions and process enhancements
• Build Developer Tools: Create testing tools, libraries, and utilities that empower engineering teams to ship with confidence while maintaining alignment with Agile/SAFe practices
• Engineer End-to-End Solutions: Develop comprehensive testing coverage across microservices, APIs, mobile, and web-based solutions in complex multi-tenant cloud environments

What You Bring

Required:

• Bachelor's degree in Computer Science, Engineering, or related field
• 7–10+ years of software development experience with a focus on test automation and infrastructure
• Strong software development skills with the ability to understand complex features, architect solutions, and write production-quality code with appropriate validation and assertions
• Proven experience designing, building, and maintaining custom test automation frameworks from the ground up
• Experience developing testing systems for complex, distributed environments including end-to-end, longevity, reliability, migration, and performance testing
• Hands‑on experience building and deploying AI testing frameworks for foundation models, prompt engineering, fine‑tuning, Retrieval‑Augmented Generation (RAG), or Generative AI frameworks (LangChain, Guidance, etc.)
• Deep understanding of CI/CD engineering and infrastructure tools (Jenkins, GitHub Actions, GitLab CI, CircleCI)
• Demonstrated ability to understand complex distributed systems and architect comprehensive test strategies
• Excellent analytical, debugging, and problem‑solving skills with strong engineering fundamentals

Preferred:

• Experience with microservices architectures and developing testing methodologies for them
• Proficiency developing performance/load testing solutions (JMeter, Gatling, k6)
• Hands‑on development experience with cloud platforms (GCP, AWS, or Azure)
• Experience working in Agile/Scrum engineering teams
• Technical leadership or mentorship experience
• Experience building test infrastructure for data‑driven applications

Why This Role?

• Build testing infrastructure for AI‑native enterprise platforms impacting customers across multiple industries
• Architect test automation solutions for next‑generation AI/ML products
• Collaborate with world‑class engineering and data science teams on challenging technical problems
• Drive meaningful impact through infrastructure that enables rapid, reliable releases at global scale
• Technical leadership opportunity with visibility across the engineering organization

Interested?

write to [e-mail] to join a team that's engineering the future of enterprise AI platforms.