Teams at Sutherland

Owns technical testing of AI agent outputs by building test suites against golden-record datasets, measuring accuracy and turnaround-time impact, and running regression tests after agent or prompt changes. Reports testing metrics for business baselines and provides technical evidence to human QA teams for final sign-off in regulated processes.

Quality Assurance Engineer responsible for functional, integration, regression, and performance testing of enterprise web applications. Designs test plans and traceability matrices, builds load-testing harnesses, validates pipeline resilience and concurrency, triages defects, coordinates penetration testing, verifies fixes, and implements performance regression gates in continuous integration. Requires SQL, API testing, browser debugging, and experience with tools such as k6, JMeter, or Locust. Automation, security testing, and regulated-platform evidence preparation are advantageous.

Designs and maintains Microsoft Fabric data pipelines, Lakehouse and Warehouse solutions, layered data architectures, dimensional models, and scalable ETL/ELT processes. Develops SQL queries, Python transformation scripts, and data-quality validations using Pandas, NumPy, PySpark, and Requests. Builds Power BI-ready datasets, supports KPI and metric definitions, partners with stakeholders on analytics requirements, and promotes governance, lineage, performance, and reporting consistency.