Development and Operations Engineer
TrimbleJob Description
Development and Operations Engineer
- Productivity Tooling Automation: Partner with divisional software engineering teams to design, automate, and deploy core tools aimed at measuring and optimizing the end-to-end software development lifecycle (SDLC).
- AI-PDLC Platform Governance: Maintain and optimize cloud-native toolchains across a unified environment, directly executing the operational transition to an AI-Product Development Lifecycle (AI-PDLC) framework with zero operational gaps.
- Engineering Performance Metrics: Instrument, track, and report on global engineering metrics utilizing industry-standard delivery and experience signals (DORA and SPACE frameworks) to quantify feature velocity and tool ROI.
- Standardized Dashboards: Build automated visualization workflows and metrics dashboards (via Domo) to capture key adoption trends, including the percentage of AI-generated code rewritten and active code in production.
- Intelligent Support Workflows: Automate administrative platform infrastructure and develop AI-influenced self-service ticketing paths and virtual agents within Jira Service Management and FreshService.
- Shift-Left Security Compliance: Collaborate with cybersecurity teams to protect product environments by embedding automated shift-left security controls via toolsets like Trufflehog, Mend, and Wiz.
- Advanced Code Validation: Support exploratory validation pipelines, including AI-generated bill-of-materials (AIBOM) scanning to audit code generated by AI coding assistants.
- Global Ecosystem Liaison: Act as a central hub between E-Tools and engineering business units across 40+ countries to drive central feature adoption and deprecate localized plugins.
- Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technology discipline, with 1 to 3 years of experience in cloud environments and scalable SaaS architectures.
- Scripting & IaC Infrastructure: Proficiency in core scripting languages (Python, TypeScript, or Go) alongside experience utilizing Infrastructure as Code (IaC via Terraform/CloudFormation) and containerization tools.
- Cloud Platform Foundations: Practical operational knowledge of cloud platforms, with primary focus on Amazon Web Services (AWS) and secondary exposure to Microsoft Azure or GCP configurations.
- AI Tooling Integration: Proven hands-on experience configuring or working alongside enterprise AI assistants (GitHub Copilot, Cursor, Claude, Atlassian Rovo) within software development environments.
- Model Context Protocol (MCP): Technical familiarity with utilizing the Model Context Protocol (MCP) to securely connect AI models to localized engineering frameworks, source repositories, and secure files.
- Analytical Problem Solving: Strong capability to analyze raw engineering workflow data, draw out operational insights, and implement data-driven process enhancements.
- Communication Capabilities: Excellent written and verbal English communication skills suited to support a global, always-on developer footprint of over 11,000 users.
How to Apply: Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.
Join a Values-Driven Team: Belong, Grow, Innovate.
At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.
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If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.
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