Job Description
- 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.
Roles & Responsibilities
- 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.
In order to comply with U.S. laws and regulations pertaining to this position, the person(s) hired must be a U.S. Citizen or U.S. Permanent Resident (i.e. "Green Card Holder"), Political Asylee or Refugee.
Location: Remote/Hybrid
Salary Range: $100,000 - $130,000 a year
TCS Employee Benefits Summary:
- 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.
Location
San Jose, CA
Function
TECHNOLOGY
Role
Engineer
ID
434248
Skills
Artificial Intelligence | Automation Testing | Machine Learning
Salary Range
$100,000 - $130,000