QA Automation Engineer

Tata Consultancy Services Limited

San Jose, CA, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$100,000.0 - $130,000.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Testing (Software) Java (Programming Language) Artificial Intelligence Automation of Tests Code Coverage Computer Programming Continuous Delivery Continuous Integration DevOps Python (Programming Language) Network Security Machine Learning

+6 more

Zero Trust Network Access Test Case Test Execution Engine Data Processing Delivery Pipeline Machine Learning Operations

Job description

Develop and maintain automated test suites for secure access products using AI/ML techniques to improve test coverage and efficiency.
Utilize AI/ML models to identify test case redundancies, optimize test execution, and predict potential failure points to reduce error rates in production.
Collaborate with cross-functional teams to automate policy creation, testing, and troubleshooting of secure access features.
Implement AI-driven analytics to detect advanced security threats and validate security controls within the secure access environment.
Participate in the design and implementation of AI/ML-powered DevOps pipelines to enable autonomous testing and continuous integration/continuous deployment (CI/CD).
Ensure compliance with security standards and best practices in AI/ML model usage and data handling.
Monitor and analyze test results, providing actionable insights to improve product quality and security posture.
Stay current with emerging AI/ML technologies and security trends relevant to secure access solutions. “

Requirements

Must Have Technical/Functional Skills

Experience in QA automation with strong programming skills in languages such as Python, Java, or similar.
Knowledge of AI/ML concepts and practical experience applying AI/ML techniques in software testing or quality assurance.
Familiarity with secure access technologies, zero-trust security models, and network security principles.
Experience with AWS DevOps tools and CI/CD pipelines, preferably with AI/ML integration.
Understanding of security risks related to AI/ML workloads and mitigation strategies.
Strong analytical and problem-solving skills with attention to detail.
Ability to work collaboratively in a fast-paced, cross-functional team environment.

Benefits & conditions

Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, Col lege Fund, Student Loan Refinancing.