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Quality Engineering Architect - MLOps

4 Locations💼 Full-time💰 $91,000–$91,000🗓 2026-06-29 → 2026-07-30

Core

Designing and implementing scalable validation strategies, automation, and risk control testing for the MLOps ecosystem to ensure model reliability and compliance.

Role type

Senior IC Quality Engineering Architect (MLOps)

Builds

Automated test harnesses, validation pipelines, and quality frameworks for ML model deployment and monitoring.

Domain

Financial services / Machine Learning Operations (MLOps)

Deliverable

production ML models

Required skills

MLOps lifecycle expertise, scalable test strategy design, test automation, CI/CD integration, Python, API testing, SQL, cloud platforms (AWS/Azure/GCP), risk-based testing, root cause analysis

Preferred skills

Enterprise architecture frameworks, emerging technologies, IT architecture, software product design

Technologies

Python, SQL, AWS, Azure, GCP, CI/CD pipelines

Responsibilities

Design MLOps testing strategies verifying internal controls; champion automation and shift-left testing; build and maintain test automation; identify controls gaps and develop test harnesses; analyze defect trends and production incidents; contribute to QE standards and best practices.

Seniority

Senior, hands-on IC

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