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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Teradata • Hyderabad, Telangana, India
Role & seniority
Stack/tools
Python, Unix/Linux; Docker; CI/CD (Jenkins, GitHub Actions, GitLab CI)
AI/ML in testing, AI-based test generation/optimization
Kubernetes (plus), cloud platforms (AWS, Azure, GCP)
SQL, database testing; test data generation and synthetic data techniques
Top 3 responsibilities
Design and develop AI-powered test automation frameworks and self-healing test scripts
Implement ML models to optimize test case selection, defect prediction, and test coverage
Integrate intelligent testing into CI/CD pipelines; collaborate with engineers, QA, and data scientists; analyze test data for patterns and improvements
Must-have skills
5+ years software testing/automation; 2+ years AI/ML in testing or related domains
Proficiency in Python and Unix/Linux; Docker experience; strong problem-solving and analytical abilities
Experience integrating automated tests into CI/CD (Jenkins, GitHub Actions, GitLab CI)
SQL/database testing knowledge; excellent communication skills
Nice-to-haves
Kubernetes and container orchestration experience
AI agent development and generative AI tooling for automation
Cloud platform experience (AWS, Azure, GCP); test data generation and synthetic data with AI
Experience converting manual tests to AI-driven automated workflows
Location & work type
Location not specified; work type: individual contributor; full-time role (details not provided)
Job Title: Senior AI Test Automation Engineer
What You’ll Do
We are looking for a highly experienced and forward-thinking Senior AI Test Automation Engineer to develop intelligent, scalable, and resilient test automation solutions. This role combines deep expertise in software testing with cutting-edge AI/ML technologies to drive innovation in quality assurance and accelerate delivery cycles.
Design and develop AI-powered test automation frameworks and tools. Implement machine learning models to optimize test case selection, defect prediction, and test coverage. Build self-healing test scripts that adapt to UI/API changes using AI techniques. Collaborate with software engineers, QA teams, and data scientists to integrate intelligent testing into CI/CD pipelines. Analyze large volumes of test data to identify patterns, anomalies, and areas for improvement. Evaluate and integrate third-party AI testing tools and platforms. Mentor junior engineers and contribute to the evolution of AI testing practices.
Who You’ll Work With
This is an individual contributor role. You will collaborate with project team members, QA engineers, and architects, and report to the Director, Software Engineering
What Makes You a Qualified Candidate
Graduate or Postgraduate in Computer Science or equivalent stream 5+ years of experience in software testing and automation. 2+ years of hands-on experience with AI/ML technologies in testing or related domains. Proficiency in Python, Unix/Linux Hands-on experience with Docker containers for building, deploying, and managing test environments. Experience with container orchestration tools (e. g. , Kubernetes) is a plus. Familiarity with AI agent development and generative AI tools for automation Proven ability to meet aggressive timelines and resolve time-critical issues Strong analytical and problem-solving skills with a focus on simplifying workflows Excellent verbal and written communication skills Experience in database testing, including SQL validation and system integration testing is a plus
What You’ll Bring
Deep understanding of test automation frameworks and test processes. Experience developing scalable and maintainable automated test suites. Proficiency in integrating automated tests into CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI. Familiarity with test data generation techniques and synthetic data creation using AI. Exposure to AI-based test case generation and test optimization strategies. Experience with integration and reliability testing using automation. Strong debugging and troubleshooting skills in distributed and containerized environments. Knowledge of cloud platforms (AWS, Azure, GCP) Excellent problem-solving, analytical, and communication skills. Knowledge on Database concepts & SQL and AI testing tools or custom Python frameworks Conversion of manual tests into automated workflows using AI Passion for integrating AI into testing workflows to improve speed, accuracy, and coverage
Why We Think You’ll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less