Web Developer (Remote)

MRIoA•Salt Lake City, UT

2d•Remote

About The Position

Staff-level software engineer responsible for designing, developing, and maintaining modern web applications using full-stack technologies. This role leverages AI-assisted development tools (e.g., Claude Code, Gitlab Duo) alongside traditional engineering practices to deliver high-quality, secure, and scalable software solutions in a regulated healthcare environment.

Requirements

2+ years of web development experience
Proficiency in JavaScript
Proficiency in Python
Proficiency in NodeJS
Familiarity with modern web architecture
Familiarity with API development
Experience deploying solutions on cloud platform
Familiarity with containerization and orchestration
Proficiency in Windows C++
Bachelor’s degree in Computer Science, Engineering, or Information Technology, or an equivalent combination of education and relevant experience.
Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required.
All candidates are required to pass a Background Screen before beginning employment.
All newly hired employees will take a Drug Screen, as well as agreeing to all necessary Compliance Regulations on their first day of employment.
Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.

Nice To Haves

Experience with React
Experience with AI-assisted coding tool
Experience with Claude
Experience deploying solutions on cloud platforms
Experience with FastAPI or Django

Responsibilities

Develop, maintain, and deploy full-stack web applications
Build user interfaces using React and modern frontend technologies
Develop backend services using NodeJS and Python (APIs, microservices)
Support application hosting, server management, and deployment pipelines
Utilize AI-assisted coding tools to enhance development efficiency and quality
Design, implement, test, document, and maintain software applications aligned with coding standards and industry best practices
Develop scalable APIs and backend services using NodeJS and Python
Build responsive, accessible UI components using React
Collaborate with stakeholders to define system scope, requirements, and design solutions
Document, investigate, prioritize, and resolve software defects
Monitor, analyze, and enhance application performance and reliability
Contribute to CI/CD pipelines, automated testing, and DevOps practices
Research and recommend improvements to tools, frameworks, and development processes
Ensure adherence to security, privacy (PHI/HIPAA), and compliance standards
Complete other duties as assigned
Actively use AI-powered coding assistants (e.g., Claude Code, Gitlab Duo, etc.) throughout the development lifecycle
Apply AI tools to Generate and refactor code
Accelerate debugging and root cause analysis
Create unit tests and documentation
Assist in architectural and design decisions
Improve development speed while maintaining accuracy, maintainability, and security
Treat AI-generated content as advisory, not authoritative
Perform thorough validation, testing, and code review of all AI-assisted output
Ensure generated code meets: Coding standards, Secure coding practices, Performance and scalability requirements
Demonstrate ability to refine prompts and evaluate outputs critically
Do not input sensitive data into AI tools, including: Protected Health Information (PHI), Personally Identifiable Information (PII). & Proprietary or confidential logic
Use only organization-approved AI tools and environments
Comply with all data security, privacy, and regulatory policies
Maintain traceability of AI-assisted contributions where required: Clear commit messages, Documentation of AI-assisted design or code decisions
Be prepared to demonstrate: Human validation of outputs, and Compliance with security and development standards
Support organizational standards for responsible AI usage
Identify opportunities to improve delivery through AI-assisted workflows
Share best practices, prompt designs, and learnings across the team
Contribute to development of AI usage guidelines and reusable accelerators
Identify and mitigate risks from AI-generated output, including: Incorrect or incomplete logic, Security vulnerabilities, and Licensing or compliance concerns
Escalate concerns related to AI that may impact security, compliance, or reliability