DevOps Engineer III, AI & Business Automation

TrueNAS•Campbell, CA

1d•$125,000 - $150,000•Onsite

About The Position

The DevOps 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.

Requirements

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

Responsibilities

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/4HANA Cloud Public, SAP Business ByDesign, SAP Concur (Travel, Expense & Invoice), Salesforce, Google Workspace, Zoom, Slack, Jira, GitHub, 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 aligned with company objectives and infrastructure.
Establish and maintain internal AI standards, best practices, and responsible use guidelines to ensure consistent, secure, and effective AI adoption across the organization.
Lead cross-departmental discovery sessions to surface automation and AI opportunities, partnering with business stakeholders to translate operational needs into scalable, maintainable technical solutions.
Develop and deliver internal training, documentation, and enablement resources to educate employees on AI tools and capabilities, building a culture of intelligent automation throughout the company.
Build, maintain, and document RESTful APIs and integration middleware connecting internal and external systems.
Review and validate code quality, architectural decisions, and AI/automation design patterns; mentor contributors and help establish team standards as the AI practice grows.
Document systems, integrations, automation logic, and AI agent configurations to ensure maintainability, reliability, and effective knowledge transfer.
Build the foundation for and grow into leading a dedicated AI Automation & Integrations team. Including defining team scope, structure, and technical direction as the practice matures within Business Technology.
Follow all best practices and procedures as established by the Business Technology leadership.