DevOps Engineer III, AI & Business Automation
$125,000–$150,000 year
RemoteUnited States
Job Summary
Design and maintain full-stack custom business applications and software integrations across internal systems like SAP, Salesforce, and Google Workspace. Build and deploy AI-powered agents and automated workflows using Anthropic Claude and Google Gemini to eliminate routine manual tasks. Serve as the primary subject matter expert on artificial intelligence, architecting prompt engineering strategies and multi-step AI pipelines while establishing internal standards and responsible use guidelines. Lead cross-departmental discovery sessions to translate operational needs into scalable technical solutions and develop training resources to enable AI adoption across the organization. Review code quality, mentor contributors, and build the foundation for a dedicated AI Automation & Integrations team. This remote role in the US reports directly to the Director of Business Technology within TrueNAS, a leader in enterprise storage.
Required Qualifications
- BS in Computer Science, Software Engineering, Information Technology, or a related field; equivalent professional experience accepted in lieu of degree
- 7+ years of professional experience in software engineering, full-stack development, or a closely related technical discipline
- Demonstrated experience building and deploying production-grade custom applications and software integrations
- Hands-on experience working with AI/LLM APIs and building AI-powered automations, agents, or intelligent workflows
- Experience with full-stack web application development including both frontend and backend components
- Proficiency in full-stack development using Python, JavaScript/TypeScript, Node.js, and modern frontend frameworks (e.g., React, Vue)
- Hands-on experience with AI/LLM platforms, specifically Anthropic Claude and Google Gemini APIs, including prompt engineering and agentic workflow design
- Experience designing and building AI agents, multi-step automation pipelines, and intelligent workflow orchestration
- Experience working with and implementing AI MCP servers and integrations
- Strong knowledge of RESTful API design, integration patterns, and automation/iPaaS platforms; experience integrating enterprise systems such as SAP, Salesforce, Google Workspace, Slack, and Jira
- Experience with relational and non-relational database design, configuration, and management
- Familiarity with containerization (Docker), cloud infrastructure, and CI/CD workflows
- Knowledge of Git and collaborative development practices in an agile environment
- Excellent problem-solving, systems-thinking, and troubleshooting skills
- Ability to communicate complex technical concepts clearly to non-technical stakeholders across departments
- This is a remote position in the US, with preference to candidates located in Campbell, CA
Desired Qualifications
- Serve as the company's primary subject matter expert on artificial intelligence and key member of the AI Risk Committee
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