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DevOps Engineer III, AI & Business Automation

Job in Campbell, Santa Clara County, California, 95011, USA
Listing for: TrueNAS
Full Time position
Listed on 2026-07-11
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Description

TrueNAS is redefining enterprise storage by delivering proven data resilience, performance, and flexibility without the complexity or constraints of legacy solutions. As the most deployed storage platform in the world, TrueNAS already powers critical data storage infrastructure for businesses, research institutions, and government agencies across 140+ countries and millions of users. Our mission is simple: to become the most trusted name in data storage.

Originally founded in Silicon Valley in 2002 under the name iXsystems, TrueNAS is a profitable, independent company with a culture rooted in trust, curiosity, technical excellence, and continuous improvement. Whether you work remotely or on-site, you’ll be part of a team that values collaboration and meaningful impact - where people come before profit, and bold ideas drive the future of data infrastructure.

If you’re ready to help shape the future of enterprise storage, we’d love to connect.

Position Overview

The Dev Ops Engineer III, specializing in AI & Business Automation, is a senior technical role within the Business Technology department, responsible for designing and delivering intelligent automation solutions, full-stack custom business applications, and software integrations that drive operational efficiency across the organization. This role will develop AI-powered agents and workflows leveraging platforms such as Anthropic Claude and Google Gemini, build and maintain mission‑critical internal tools and systems, and help lay the foundation for a dedicated AI Automation & Integrations practice within Business Technology.

The position reports directly to the Director of Business Technology and is instrumental in bridging the gap between business operations and emerging AI capabilities.

This is an onsite position in the US, with preference to candidates located in Campbell, CA.

Base Pay Range

The base pay range of this position is $125,000 to $150,000 USD annually. In addition to base salary, this position is eligible to participate in the Company’s bonus program with a target bonus opportunity of 10% of base salary annually, subject to the achievement of individual and Company performance objectives and the terms of the applicable Company bonus plan.

Please note that the provided range reflects the pay spectrum for positions within the same job category as the one to which this position belongs. The final offer will consider various factors, such as location, education, and prior experience, to ensure a comprehensive and fair compensation assessment.

TrueNAS offers a comprehensive package of benefits including health, dental, vision, disability, and life insurance, paid time‑off, 401(k), health and flexible spending accounts, stock purchase plan and more.

Expected Posting Timelines

This position will be open for a minimum of 5 days, a maximum of 90 days.

The Day-to-Day

The essential functions and responsibilities for this position include, but are not limited to, the following. Other duties may be assigned as needed.

  • Design, develop, and maintain full‑stack custom business applications including manufacturing execution systems (MES), asset management tools, and unified internal operational dashboards.
  • Build and maintain software integrations across the company’s internal systems portfolio, including SAP S/4

    HANA Cloud Public, SAP Business ByDesign, SAP Concur (Travel, Expense & Invoice), Salesforce, Google Workspace, Zoom, Slack, Jira, Git Hub, and additional platforms as the business evolves.
  • Serve as the company’s primary subject matter expert on artificial intelligence and key member of the AI Risk Committee.
  • Design and deploy AI‑powered agents and automated workflows using platforms such as Anthropic Claude and Google Gemini to systematically identify and eliminate routine manual tasks across the organization.
  • Architect and implement prompt engineering strategies, agentic frameworks, and multi‑step AI pipelines tailored to specific business use cases and operational requirements.
  • Continuously evaluate emerging AI tools, LLM capabilities, agent frameworks, and automation platforms; build proof‑of‑concepts and recommend adoption paths…
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