Senior Software Engineer

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Medicom Technologies

MEDICOM

Medicom is a leading enterprise imaging software company that solves

longstanding interoperability

challenges for clinicians, staff, patients, and researchers. Its core

platform, Connect, supports diverse

enterprise imaging interoperability use cases. These include access to

prior and unread imaging

studies, point-of-care workflows, patient access to images, orders and

results workflows for

teleradiology, telestroke and trauma, and cross-institution sharing of

digital imaging. Medicom\'s

Network is adopted by over 1,000 US healthcare institutions and backed

by leading venture capital

firms, such as UPMC Enterprises. Data and insights from the Medicom

Connect network drive

Medicom\'s Intellect offering, which helps clinicians and researchers

advance patient care and

develop new therapies.

Senior Software Engineer

Position: Senior Software Engineer

Are you excited by the idea of helping define how AI transforms software

engineering?

Medicom is looking for a Senior Software Engineer who is passionate

About Building High-quality

software and exploring how AI can accelerate development, improve code

quality, and enhance

the engineering experience. You\'ll join a collaborative team that

values continuous delivery,

technical excellence, and experimentation with emerging technologies.

We\'re looking for someone who enjoys solving difficult technical

problems, embraces modern

engineering practices, and is eager to help shape how AI becomes part of

our everyday

development workflow.

Responsibilities

• Design, develop, and maintain high-performance, scalable software

solutions for medical

imaging workflows.

• Evaluate, experiment with, and champion AI-powered development tools

and workflows

that improve engineering productivity and software quality.

• Identify opportunities to responsibly integrate AI into the software

development lifecycle,

including coding, testing, documentation, debugging, and developer

workflows.

• Partner with the engineering team to establish best practices for

effective and secure use

of AI-assisted development.

• Collaborate closely with product and engineering teams to define,

implement, and refine

new features and system improvements.

• Diagnose and resolve issues in clinical environments by

troubleshooting, debugging, and

optimizing application performance.

• Contribute to the efficiency of development pipelines by supporting

continuous integration,

testing, and deployment efforts.

• Engage in collaborative programming practices such as pair

programming, participate in

knowledge-sharing activities like brown-bag discussions, and attend

daily stand-ups to

align on project goals.

• Provide remote development support to customers when needed in

collaboration with

customer support specialists.

• Take advantage of Medicom\'s self-paced learning resources to

continually develop

technical skills, deepen product knowledge, and stay current with

industry advancements.

Required Qualifications

• 6\+ years of professional software development experience
• Demonstrated passion for applying AI to software engineering,

including hands-on

experience with AI-assisted development tools and a curiosity for

evaluating emerging

technologies that improve engineering productivity, code quality, and

developer experience.

• Strong programming skills in languages such as JavaScript and

TypeScript

• Familiarity with cloud platforms like AWS or Azure
• Experience working in an Agile environment.
• Strong problem-solving skills and ability to work in a fast-paced,

high-growth environment.

Preferred Qualifications

• AWS Quicksight Experience or me trics reporting experience
• Front-end development experience, especially with Vue (or another

reactive framework),

AWS Amplify, and micro-frontends. Not required, but a willingness to

contribute to front-end

work is expected of all engineers on the team.

• Experience or knowledge of healthcare standards (e.g., DICOM, HL7,

FHIR, SMART on

FHIR) and medical imaging software.

• Experience with serverless/event-driven architecture.
• Familiarity with containerization tools (e.g., Docker, Kubernetes).
• Experience in Test Driven Development (TDD).
• Experience with NoSQL and SQL databases.
• Familiarity with continuous integration/continuous deployment (CI/CD)

pipelines.

• Preference for collaborative programming practices such as pair

programming.

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