Software Engineer, Infrastructure Quality Productivity, Data Engineering, DeepMind

Job description

Develop and Maintain Testing Infrastructure, implement and support software testing systems focused on data storage and processing for large scale and rapidly growing robotics data. Build and manage robust CI/CD pipelines and stage environments for data processing systems. Implement comprehensive regression checks that protect both correctness and performance at scale. Enhance engineering productivity, monitor engineering productivity metrics and build tooling to eliminate bottlenecks and reduce productivity drag. Help maintain code health and productivity as our data processing systems evolve rapidly. Collaborate with senior engineers to identify and apply advanced automation and AI tooling within our data ecosystem. Minimum Qualifications: Bachelor's degree in Computer Science, or a related technical field or equivalent practical experience. 2 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Experience in Quality Assurance (QA) or Quality Engineering (QE), Development and Operations (DevOps), engineering productivity, Continuous Integration/Continuous Deployment (CI/CD) and product quality. Preferred Qualifications: Experience partnering with or working within an Engineering Productivity (EngProd) or Developer Experience organization to improve engineering workflows.