DevOps Engineer III, AI & Business Automation
T
TrueNASData storage
This is a remote position in the USFull-TimeMiddle
SalaryThe 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
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Job Details
- Experience
- 7+ years of professional experience in software engineering, full-stack development, or a closely related technical discipline
- Required Skills
- Node.jsPythonJavascriptTypeScriptVue.JsReactRESTful APIsPrompt Engineering
Requirements
- Have a BS in Computer Science, Software Engineering, Information Technology, or a related field; equivalent professional experience is accepted.
- Have 7+ years of professional experience in software engineering, full-stack development, or a closely related technical discipline.
- Demonstrate experience building and deploying production-grade custom applications and software integrations.
- Have hands-on experience with AI/LLM APIs and building AI-powered automations, agents, or intelligent workflows.
- Have full-stack web development experience across frontend and backend components.
- Be proficient in Python, JavaScript/TypeScript, Node.js, and modern frontend frameworks such as React or Vue.
- Have experience with Anthropic Claude and Google Gemini APIs, prompt engineering, and agentic workflow design.
- Have experience designing AI agents, multi-step automation pipelines, and intelligent workflow orchestration.
- Have experience implementing AI MCP servers and integrations.
- Know RESTful API design, integration patterns, and automation/iPaaS platforms; enterprise systems experience includes SAP, Salesforce, Google Workspace, Slack, and Jira.
- Have experience with relational and non-relational database design, configuration, and management.
- Be familiar with Docker, cloud infrastructure, CI/CD workflows, Git, and collaborative development in an agile environment.
- Have problem-solving, systems-thinking, and troubleshooting skills, and be able to explain technical concepts to non-technical stakeholders.
Responsibilities
- Design, develop, and maintain full-stack business applications, including MES, asset management tools, and operational dashboards.
- Build and maintain integrations across internal systems, including SAP, Salesforce, Google Workspace, Zoom, Slack, Jira, and GitHub.
- Design and deploy AI-powered agents and automated workflows using platforms such as Anthropic Claude and Google Gemini.
- Architect prompt engineering strategies, agentic frameworks, and multi-step AI pipelines for business use cases.
- Evaluate AI tools, LLM capabilities, agent frameworks, and automation platforms; build proof-of-concepts and recommend adoption paths.
- Establish internal AI standards, best practices, and responsible-use guidelines.
- Lead cross-departmental discovery sessions and translate operational needs into technical solutions.
- Develop and deliver internal AI training, documentation, and enablement resources.
- Build, maintain, and document RESTful APIs and integration middleware.
- Review code quality and architecture, mentor contributors, and help define the scope and technical direction of a growing AI Automation & Integrations team.
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