Enterprise AI DevOps SRE - Trimble
Listed on 2026-09-09
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IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer
Drive Innovation as our Enterprise AI Dev Ops SRE
Shape the future of digital infrastructure by scaling AI-driven efficiencies across complex enterprise ecosystems like Workday, Salesforce, and Okta. Partner with our AI Platform Architect to transform organizational workflows through cutting-edge automation and intelligent systems.
About Us:Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.
For more information about Trimble (Nasdaq:TRMB), visit:
In this role, you will be at the forefront of bridging cutting-edge AI capabilities with core enterprise platforms, leading transformational automation initiatives that directly boost operational efficiency across a global organization.
Key Exciting Responsibilities:- Architect and deploy scalable Infrastructure as Code (IaC) and multi-cloud CI/CD pipelines across AWS, Azure, and GCP using Git Hub Actions, Helm, and Flux CD.
- Lead the design of intelligent AI-driven workflows for non-engineering systems using Agentic AI and the Model Context Protocol (MCP).
- Implement robust observability frameworks with Grafana, Prometheus, and New Relic to proactively monitor performance, optimize costs, and maximize system uptime.
- Collaborate with cross-functional product, data, and security teams as a trusted advisor to establish high standards for cybersecurity, compliance, and xOps.
- Drive data-informed operational agility by translating complex infrastructure metrics and cost optimization KPIs into actionable business ROI.
Skills & Experience:
- 5+ years of hands-on experience managing enterprise-grade Kubernetes and Docker environments across modern cloud architectures.
- Demonstrated proficiency in integrating complex enterprise APIs (such as Workday and Salesforce) and managing secure identity frameworks like OIDC and SAML.
- Strong practical experience with modern CI/CD tooling (Git Hub Actions, Flux CD, Helm) and observability platforms (Grafana, New Relic, Prometheus).
- Proven ability to act as a consultative advisor, translating technical Dev Ops and cloud requirements into strategic guidance for product teams.
- Hands-on experience applying Agentic AI concepts or Model Context Protocol (MCP) to legacy enterprise tools.
- Track record of driving measurable ROI through proactive cloud cost optimization and infrastructure performance metrics.
Location:
Remote / Hybrid
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