The Staff DevOps Engineer will design and manage secure cloud infrastructure, implement automation, and ensure observability while leading DevOps practices.

The SDET will develop and execute automated and manual tests, ensuring product quality by creating test plans, automating tests, and participating in team meetings.

The Product Owner will lead Trimble Developers, manage the product lifecycle, collaborate with teams, and optimize developer engagement and experience.

The Lead Program Manager will enhance engineering productivity, analyze data metrics, and collaborate with teams to drive efficiency across Trimble's developer teams.

The role involves provisioning and operating core services in the public cloud, focusing on DevOps automation, monitoring, and optimization using AWS tools and various technologies.

The Staff DevOps Engineer will work on deploying and maintaining AI/ML systems, supporting CI/CD pipelines, and collaborating with ML engineers in operations, focusing on MLOps best practices.

The Lead DevOps Engineer will support AI/ML systems deployment, CI/CD development, monitoring model performance, and collaborating with ML teams to optimize operations.

The AI SDET will automate testing processes, develop AI testing methodologies, and improve software quality in an agile environment. Responsibilities include scripting, testing AI components, and enhancing QA practices with AI tools.

The AI SDET is responsible for improving software quality through automation, developing AI testing methodologies, and collaborating with QA and development teams.

Lead the technical vision and implementation of enterprise AI/ML infrastructure, driving innovation, governance, and cross-organizational MLOps practices.

This role focuses on deploying, monitoring, and maintaining ML systems in production, emphasizing MLOps practices and automation. Candidates will learn DevOps, infrastructure automation, and collaborate with data scientists to operationalize models.

The role involves deploying and maintaining machine learning systems, supporting CI/CD pipelines, monitoring model performance, and collaborating with engineers and data scientists on MLOps practices.

Lead the design and evolution of scalable AI systems, guide technical direction, and mentor engineers. Design architectures for AI infrastructures, agentic AI workflows, and ensure system scalability and security.

The Software Engineer will analyze business requirements, develop data warehousing solutions, and create dashboards for insights while maintaining data governance and quality.

The Software Engineer will focus on data analytics engineering, developing data warehouses, ensuring data quality, and creating insightful dashboards from complex data sets.

The Lead Software Engineer will design, develop, and support APIs for Oracle R12 modules focusing on Order Management, Service Contracts, and Accounts Receivable, while collaborating with teams for successful project delivery.

The role involves automating testing processes, designing and validating test scripts, collaborating with cross-functional teams, and maintaining software quality standards.

As a Lead Software Development Engineer in Test, you will mentor engineers, oversee testing cycles, develop automated tests, and improve testing processes, ensuring product quality through collaboration across teams.

The People Analytics Engineer will design, develop, and maintain HR reporting and analytics infrastructure, focusing on Workday, to provide actionable insights for talent strategy.

The Software Engineer II addresses software development tasks, including coding, testing, and team collaboration on engineering projects.