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Job Description & How to Apply Below
We're seeking an exceptional Staff SDET to lead test automation strategy for our AI and SaaS platforms. This is a high-impact role where you'll shape testing frameworks, drive automation innovation, and ensure our enterprise solutions deliver reliability you're passionate about quality engineering in AI-driven systems, this is your opportunity to work at the forefront of enterprise AI.
What You'll Do
- Lead test automation strategy and roadmap for AI and SaaS platforms, driving continuous improvements in automation, test coverage, and release quality
- Design and implement scalable automation frameworks for API, UI, and data validation testing, leveraging AI tools for intelligent test automation
- Collaborate with Data Science and Engineering teams to validate AI/ML workflows, analytics pipelines, and model integration in production environments
- Drive performance, security, and regression testing initiatives to ensure enterprise-grade reliability
- Perform root cause and trend analysis to identify gaps and recommend automation or process enhancements
- Ensure comprehensive end-to-end testing across microservices, APIs, mobile, and web applications in multi-tenant cloud environments
- Document test automation processes, release notes, and best practices while maintaining alignment with Agile/SAFe methodologies.
What You Bring
Required:
- Bachelor's degree in Computer Science, Engineering, or related field
- 7–10+ years of experience in Software Test Automation and quality engineering with extensive automation expertise
- Expert-level proficiency in at least one programming language (Java, Python, JavaScript, or Type Script)
- Proven ability to understand complex features, write comprehensive test cases, and develop automation scripts with robust validation
- Strong hands-on experience creating and maintaining custom test automation frameworks
- Experience testing complex systems including end-to-end, longevity, reliability, migration, and performance testing
- Experience building and deploying AI testing strategies for foundation models, prompt engineering, fine-tuning, RAG, or Generative AI frameworks (Lang Chain, Guidance, etc.)
- Deep understanding of CI/CD workflows and tools (Jenkins, Git Hub Actions, Git Lab CI, Circle
CI)
- Proven ability to design test strategies for complex, distributed systems
- Excellent analytical, debugging, and problem-solving skills
Preferred:
- Familiarity with microservices architectures and testing methodologies
- Experience with performance/load testing tools (JMeter, Gatling, k6)
- Hands-on experience with cloud platforms (GCP/AWS/Azure)
- Experience in Agile/Scrum environments
- Prior mentorship or leadership experience in test automation teams
- Experience testing data-driven applications
Why Join Us
- Work on cutting-edge AI technology that's transforming enterprise operations
- Collaborate with world-class engineering and data science teams
- Shape quality standards for AI systems at massive scale
- Competitive compensation and benefits package
- Opportunity to lead and innovate in the rapidly evolving AI space
Ready to Make an Impact?
We're excited to hear from engineers who are passionate about quality, automation, and pushing the boundaries of AI testing. Write to
Position Requirements
10+ Years
work experience
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