Workflow and Automation Engineer

Duke Careers•Durham, NC

2d•Hybrid

About The Position

The Office of Information Technology is looking for a Workflow and Automation Engineer to help design and deliver intelligent automation solutions that improve how work gets done at Duke. In this role, you’ll focus on workflow, automation, and AI-driven projects that bridge traditional IT infrastructure with emerging AI and machine learning capabilities. You’ll work hands-on to move ideas from proof of concept into reliable, supported production environments—reducing friction between innovation and operations. Partnering with IT and non-IT teams, you’ll translate business needs into well-designed workflows, system integrations, and automation solutions that scale efficiently and securely across the university.

Requirements

Bachelor’s degree in computer science, information technology, or a related field, or an equivalent combination of education and experience.
3–10 years of experience in workflow automation, system integration, or automation development.
Proficiency in Python, SQL, and JavaScript, with experience building automation or integration solutions.
Experience integrating enterprise systems and APIs to support end-to-end automated workflows.
Familiarity with cloud platforms and modern development environments.
Experience with version control systems and CI/CD pipelines.

Nice To Haves

Experience designing and implementing RPA (Robotic Process Automation) solutions.
Familiarity with low-code/no-code workflow and automation platforms.
Experience building data pipelines to support AI, automation, and machine learning use cases.
Understanding of AI/ML concepts, libraries, and model lifecycle management.
Knowledge of Linux/Unix systems, networking, and database technologies.
Strong collaboration skills and experience working with cross-functional technical and business teams.

Responsibilities

Develop integration solutions that connect enterprise systems, APIs, and data sources to enable end-to-end automated workflows.
Design and implement automation solutions using RPA tools, scripting, workflow platforms, and low-code/no-code technologies.
Build and maintain data pipelines that prepare and support data for AI, workflow, automation, and machine learning solutions.
Configure and maintain CI/CD pipelines to support reliable deployment and ongoing maintenance of automation solutions.
Analyze existing workflows and infrastructure to identify opportunities for automation, efficiency improvements, and scalability.
Document, monitor, and optimize deployed automations, ensuring performance, reliability, security, and compliance with audit and governance standards.