Software Foundation Data & Compute Senior SQA Engineer

Introduction to the jobThe senior lead SQA engineer is responsible for leading validation activities for shared Data & Compute platform capabilities across multiple products. The role focuses on validating new functionality and platform enhancements in areas such as Data Pipelines, Infrastructure Services, MLOps, UI Frameworks, Recipe Management, and related platform components.

The position owns progression testing strategy, execution, and quality assessment for new developments, ensuring functional, performance, and reliability requirements are met before handoff to regression validation teams. The role works closely with Product Owners, Architects, Software Engineers, Data Engineers, Infrastructure Engineers, and MLOps teams throughout the product development lifecycle.

As a technical lead, the individual provides technical direction, drives validation innovation, contributes to design reviews and technical decisions, and mentors engineers within the team.

Role and responsibilities

Technical Leadership Take technical ownership of progression validation activities for common platform capabilities.

Lead complex validation efforts and provide technical guidance to engineers.

Identify technical risks, quality concerns, and mitigation plans.

Contribute to architectural discussions, design reviews, and technical decision-making.

Validation Strategy and Testing Define and execute progression testing strategies for new features and platform enhancements.

Develop and maintain validation plans, test scenarios, and quality metrics.

Verify functionality, performance, reliability, and usability against requirements and design specifications.

Identify, track, and drive resolution of software defects and quality issues.

Ensure readiness for handoff to regression validation teams.

Data & Compute Platform Validation Design and execute validation activities for:

Data Pipelines and Data Management services

Compute and Infrastructure platformsMLOps workflows and model deployment pipelinesCI/CD and platform integration servicesUI Frameworks and user workflows

Recipe Management and execution systems

Automation and Continuous Improvement Drive development of automated validation solutions and test frameworks.

Improve coverage, efficiency, and maintainability of validation processes.

Identify opportunities to enhance quality engineering practices and tools.

Integration and Problem Solving Support integration of platform services and validate cross-system interactions.

Perform root-cause analysis for complex technical issues.

Collaborate with development and operations teams to resolve product and customer issues.

Documentation and Knowledge Sharing Document validation approaches, risks, results, and technical decisions.

Communicate findings effectively to stakeholders.

Coach and mentor engineers and promote best practices across teams.

Education and experience

Required

Master's degree in Computer Science, Software Engineering, Electrical Engineering, Information Engineering, Data Engineering, or a related technical field.

Minimum 8 years of relevant experience in software engineering, software quality engineering, system validation, or related disciplines.

Experience completing at least one full product development cycle.

Proven experience leading complex technical activities and mentoring engineers.

Preferred Experience in semiconductor equipment or high-tech systems.

Experience with Data Platforms, Compute Platforms, Infrastructure Services, or MLOps.

Experience with distributed systems, automation frameworks, and CI/CD environments.

Skills Technical Strong  knowledge of software quality engineering and validation methodologies.

Understanding of Data Pipelines, Infrastructure Services, Compute Platforms, and MLOps.

Experience with test automation, integration testing, and system validation.

Knowledge of Linux, databases, networking, distributed systems, and software architecture.

Strong analytical, troubleshooting, and problem-solving capabilities.

Leadership and Communication Technical leadership and mentoring skills.

Strong written and verbal communication.

Ability to work across multiple disciplines and organizations.

Proactive, results-driven, and quality-focused mindset.

Other information

Hybrid work arrangement may be available based on business needs.

Domestic and international travel may be required (