Teams at Trimble

Build and maintain automated cloud, product, and AI/ML deployments; manage AWS infrastructure through Terraform and other IaC tools; maintain CI/CD and MLOps pipelines; implement monitoring, AIOps, observability, self-healing, disaster recovery, and incident-management solutions; automate operations with Python and scripting; support Kubernetes, GPU/EKS clusters, model-serving frameworks, vector stores, and LLM workflows while meeting service availability and performance targets.

Design, build, and maintain Workday reports and dashboards (Advanced, Matrix, Composite); create complex calculated fields; optimize Workday Prism and specialized hubs; troubleshoot data accuracy and performance; enforce security/privacy controls; translate HRIS/HCM data into actionable people analytics for stakeholders.

Lead full-lifecycle development of scalable, cloud-native SaaS transportation solutions. Architect front-end and back-end components, establish quality standards for AI-generated code, promote AI-first development practices, mentor international engineering teams, and improve system performance, security, and maintainability. The role requires extensive full-stack engineering expertise across React, .NET, Azure, Docker, CI/CD, and SQL Server, with a focus on transportation and logistics technology.