AI-Enabled Software Engineer

UMS

. Maintain, debug, and extend existing Node.js web applications and unfamiliar or sparsely documented codebases .

Posted 10/27/2026full-timeRemote • United StatesJuniorMid-Level💰 $72,000 - $80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack web application development using Node.js, JavaScript, and Python, with a strong focus on secure software practices, data privacy, and accessibility. Capable of mentoring junior developers and collaborating effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

Node.js Application DevelopmentFull-Stack Application DesignAPI DevelopmentSecure Software DevelopmentMentoring and Coaching

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Node.jsJavaScriptPythonAPI DesignDatabase InteractionSoftware Development LifecycleCode ReviewVersion ControlTestingDebugging

Soft Skills

Clear CommunicationProblem SolvingCollaborationPlanning and Prioritization

Tools & Technologies

AWSMicrosoft AzureGoogle CloudBoomiAI Coding Assistants

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Computer Science (Preferred)

Industry Keywords

Higher EducationEducation TechnologyFERPAData PrivacyAccessibility Principles

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptNode.jsPython

About the role

Key responsibilities & impact

Maintain, debug, and extend existing Node.js web applications and unfamiliar or sparsely documented codebases
Analyze and resolve application problems when prescribed procedures are unavailable
Architect and build custom full-stack web applications from requirements and design through testing, deployment, and ongoing support
Develop APIs, database interactions, and front-end interfaces
Design and maintain data integration pipelines connecting student information, learning management, and enterprise resource planning systems
Write, test, review, and document maintainable code
Use System-approved AI coding assistants while protecting data and critically reviewing AI-generated code for errors, security, privacy, accessibility, and maintainability
Research emerging AI development tools and recommend practical uses
Demonstrate AI-assisted development practices to IT colleagues
Monitor and improve production application performance, security, accessibility, and reliability
Explain designs, changes, and technical issues to technical colleagues and non-technical stakeholders
Provide the CIO with technical input on AI tools, licensing, API costs, and infrastructure needs
Coach the AI Software Support Analyst and junior developers
Supervise or mentor student employees as needed
Contribute to institutional software development standards and shared technical practices

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field — or an equivalent combination of education and experience
At least two years of software development experience, including professional employment, internships, freelance work, or substantial completed projects
Experience building or maintaining server-side applications using Node.js or comparable technologies
Proficiency in at least one modern programming language, such as JavaScript or Python
Knowledge of full-stack application design and software development lifecycle, including front-end and back-end development, API design, databases, testing, code review, version control, and deployment
Knowledge of secure software development, data privacy, and accessibility principles relevant to institutional applications
Skill in diagnosing complex application failures and performance issues in production environments
Ability to plan and prioritize work, solve novel problems independently, and seek input or escalate risks when appropriate
Clear communication with technical and non-technical audiences
Ability to collaborate across teams and coach less experienced colleagues
U.S. work authorization that does not require employer sponsorship now or in the future; applicants requiring visa sponsorship or OPT extensions cannot be considered
Successful applicant subject to appropriate background screenings
Preferred: Master’s degree in Computer Science, Software Engineering, or a related technical field
Preferred: Experience maintaining or extending applications developed by others, including code produced with AI assistance
Preferred: Experience deploying or supporting applications on AWS, Microsoft Azure, or Google Cloud
Preferred: Experience developing integrations with Boomi or comparable middleware platforms
Preferred: Experience in higher education, education technology, or research environments
Preferred: Familiarity with higher education systems and FERPA
Preferred: Portfolio, GitHub profile, or examples of independently built applications

Benefits

Comp & perks

Comprehensive health benefits, including medical, dental, vision, flexible spending accounts (FSA), and Health Savings Account (HSA) options
Employer-paid basic life insurance and long-term disability coverage, with additional voluntary coverage options
Retirement plan through TIAA with 10% employer contribution and opportunities for additional tax-deferred retirement savings
Generous paid time off, including vacation and sick leave, plus 13 paid holidays each year
Tuition waiver program for employees, including graduate courses and Maine Law
Substantial tuition discounts for eligible spouses and dependent children
Employee Assistance Program (EAP) and wellness programs
Professional development and opportunities to grow your career within Maine's public university system
Pet insurance
Home and auto insurance discounts
Supplemental disability and life insurance options
Remote work arrangement
Global? No; occasional travel to university campuses may be required