Senior Test Automation Engineer – AI & Data Pipelines

Tata Consultancy Services Limited; Irving (TX); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Health

Family Support: Parental Leaves.

401K Plan

Certification & Training Reimbursement

Vacation, Time Off

Legal & Financial Assistance

Job summary

Tata Consultancy Services Limited in Irving, TX seeks a Senior Engineer to define and automate test strategies for multimodal data pipelines, AI workflows, and containerized software. The role emphasizes data-quality, performance, security testing, and robust CI/CD integration.

Required experience includes software/data quality engineering, data-pipeline automation, and designing tests for non-deterministic AI workloads. Strong collaboration with AI teams and security teams is essential.

Qualifications

• 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.

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.

Skills

Infrastructure services

Education

Bachelor of Computer Science

Job description

Tata Consultancy Services Limited in Irving, TX seeks a Senior Engineer to define and automate test strategies for multimodal data pipelines, AI workflows, and containerized software. The role emphasizes data-quality, performance, security testing, and robust CI/CD integration.

Required experience includes software/data quality engineering, data-pipeline automation, and designing tests for non-deterministic AI workloads. Strong collaboration with AI teams and security teams is essential.