Full Stack Engineer
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Role details
Tech stack
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Job description
This is a highly visible opportunity to help define and build next-generation applications supporting Clinical Asset Management, Cybersecurity, and Clinical Engineering initiatives at TRIMEDX. The engineer will have significant influence on architecture, product direction, integrations, and AI-enabled solutions while partnering directly with leadership, product, data, and engineering teams.
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Design and develop a brand-new portal that integrates into an existing application ecosystem
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Build scalable full stack applications from concept through deployment
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Partner with product teams to translate requirements and designs into technical solutions
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Define architecture, integrations, data flows, and system design decisions
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Integrate multiple APIs and external data sources into applications
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Work closely with Snowflake-backed data environments and analytics platforms
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Leverage AI-assisted development tools to accelerate software delivery
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Collaborate with product, engineering, and data teams to deliver new functionality
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Support Clinical Asset Management, Cybersecurity, and Clinical Engineering initiatives
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Participate in deployment, monitoring, and ongoing production support
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Present and demo solutions to stakeholders and leadership teams
Requirements
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Strong experience building full stack web applications end-to-end
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Experience operating in greenfield environments and building products from scratch
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Hands-on experience with modern front-end and back-end technologies
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Experience designing application architecture, integrations, and scalable systems
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Strong API integration and data ingestion experience
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Experience working with cloud environments (Azure preferred)
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Experience with Snowflake or similar cloud-based data platforms
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Proven ability to influence technical decisions and own solutions beyond coding
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Experience participating in deployments, CI/CD processes, and production support
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Strong communication skills with the ability to explain technical concepts to business stakeholders
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Ability to work independently while collaborating cross-functionally with product, data, and engineering teams * Experience building AI-enabled applications
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Experience selecting or implementing AI models, frameworks, or architectures
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Experience using AI-assisted development tools (Claude, Codex, Cursor, Copilot, etc.)
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Healthcare technology, clinical engineering, asset management, or cybersecurity experience
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Strong UI/UX and product-minded approach to development
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Experience in data-heavy or analytics-focused environments
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Azure cloud certifications
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Experience presenting solutions to leadership or executive stakeholders
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