Trimble
Enterprise AI DevOps SRE
US - Remote, CO · Senior · Full-time
Sponsorship not specified$116k-$159kDetected 25 days ago
GitAWSGCPAzureCloud PlatformsDockerKubernetesHelmCI/CDGitHub ActionsPrometheusGrafanaDevOpsSite Reliability EngineeringData AnalysisAgentic AISalesforceLogisticsHRIS
Stay score
odds of building a lasting career here
57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 10 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 71%
Of 7 labor certifications old enough to have been used, 2 expired without the employer filing the next step. Median time from filing to decision: 508 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation.
- For more information about Trimble (Nasdaq:TRMB), visit: www.trimble.com.
- Key Exciting Responsibilities: Architect and deploy scalable Infrastructure as Code (IaC) and multi-cloud CI/CD pipelines across AWS, Azure, and GCP using GitHub Actions, Helm, and Flux CD.
Responsibilities
- 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.
- We build innovative solutions designed to solve the world's most critical challenges.
- From construction sites to transportation hubs, our work tang ibly improves how people live, build, move, and grow.
Requirements
- 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 (GitHub Actions, Flux CD, Helm) and observability platforms (Grafana, New Relic, Prometheus).
Skills
- 5+ years of hands-on experience managing enterprise-grade Kubernetes and Docker environments across modern cloud architectures.
- Bonus Points For:
- 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.
- Remote / Hybrid Travel Requirement:
- Why You'll Love Working With Us:
Compensation
- Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position.
- This compensation range is based on a full time schedule.
- Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.
- Hiring Range $115,600.00-$158,900.00 Pay Rate Type Salary Bonus Eligible?
Benefits
- Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans.
- Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan.
- If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.
- Bonus Points For: Hands-on experience applying Agentic AI concepts or Model Context Protocol (MCP) to legacy enterprise tools.
Company info
- Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done.
- 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.
- What Makes This Role Great: 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
- Essential Skills & Experience: 5+ years of hands-on experience managing enterprise-grade Kubernetes and Docker environments across modern cloud architectures.
Equal opportunity
- Candidate Privacy Notices by Country If you need assistance or would like to request an accommodation in connection with the
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This listing is sourced directly from Trimble's careers page and normalized into a canonical job model.