Job description

Role purpose Define and automate the test strategy for multimodal data pipelines, AI workflows, containers, repositories, and related software components. Key responsibilities • Create risk-based test strategy covering unit, integration, system, data-quality, performance, security, regression, and release validation. • Define test data, expected results, traceability, entry/exit criteria, defect workflow, and evidence requirements. • Automate validation of schemas, synchronization, completeness, lineage, reproducibility, model inputs/outputs, APIs, and deployment packages. • Integrate tests into CI/CD and establish quality dashboards, failure triage, and continuous improvement. • Coordinate with engineers, AI teams, annotation quality, security, and product stakeholders. Required experience and skills • Extensive experience in software/data quality engineering and test automation. • Hands-on automation for data pipelines, APIs, containers, and distributed systems. • Ability to design tests for non-deterministic or data-dependent AI workflows. Preferred experience PyTest, Great Expectations/Deequ, contract testing, performance testing, security testing, model validation, or simulation-based testing. Salary Range: $90,000 - $150,000 per 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, College Fund, Student Loan Refinancing.

Requirements

Must-haves

Role purpose
Define and automate the test strategy for multimodal data pipelines, AI workflows, containers,
repositories, and related software components.
Create risk-based test strategy covering unit, integration, system, data-quality, performance,
security, regression, and release validation.
Define test data, expected results, traceability, entry/exit criteria, defect workflow, and evidence
requirements.
Automate validation of schemas, synchronization, completeness, lineage, reproducibility, model
inputs/outputs, APIs, and deployment packages.
Integrate tests into CI/CD and establish quality dashboards, failure triage, and continuous
improvement.
Coordinate with engineers, AI teams, annotation quality, security, and product stakeholders.
Required experience and skills
Extensive experience in software/data quality engineering and test automation.
Hands-on automation for data pipelines, APIs, containers, and distributed systems.
Ability to design tests for non-deterministic or data-dependent AI workflows.
Discretionary Annual Incentive.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Time Off: Vacation, Time Off, Sick Leave & Holidays.

Nice-to-haves

PyTest, Great Expectations/Deequ, contract testing, performance testing, security testing, model
validation, or simulation-based testing.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cd

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave