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# Staff Software Engineer

- **Company:** ALLARA LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $201,000.0 - $250,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Architectural Patterns, Code Review, Command-Query Responsibility Segregation (Software Development), Distributed Systems, Python (Programming Language), Next.js, Software Engineering, TypeScript, Fast Healthcare Interoperability Resources, Agentic-AI, Health Level Seven International, Model Context Protocol, Golang
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-new-york-ny--acc28a30-a846-4f6e-9fc5-6eca4e52f98b

## About the Role

Software Engineering, Insulin, Healthcare, Women's Health, Cross-Functional, Patient Care, Artificial Intelligence (AI), Software Engineering, Distributed Computing, Mentoring, * 7+ years of software engineering experience, with 2+ years in a Staff or Principal role

 * Proven track record designing and building distributed systems at scale, with a deep understanding of system design tradeoffs
 * Strong full-stack capabilities with expertise in modern backend technologies (Python, TypeScript, Go, or similar) and AWS
 * Experience architecting systems in regulated industries (healthcare, fintech) with considerations for security, compliance, and data privacy
 * Demonstrated ability to mentor engineers and elevate team technical capabilities through code review, design guidance, and knowledge sharing
 * Excellent communication skills; able to articulate complex technical concepts to both technical and non-technical stakeholders

Bonus Points

 * Background in healthcare technology, including EMR integrations, HL7/FHIR standards, or telehealth platforms
 * Experience building AI agents or Model Context Protocol (MCP) integrations
 * Prior experience at a high-growth startup, particularly during scaling phases (Series B-D)
 * Familiarity with Next.js and CQRS

## Description

* Design and implement scalable distributed architectures that support personalized care delivery for a rapidly growing patient base
 * Own technical initiatives across the stack, from AI/ML-powered health guidance tools to EMR, billing, and scheduling integrations
 * Help define engineering standards, architectural patterns, and best practices that enable the team to move fast without breaking things
 * Mentor and grow engineers across the team, fostering a culture of technical excellence and collaborative problem-solving
 * Partner with product, clinical, and data teams to translate complex healthcare requirements into elegant technical solutions
 * Drive build vs. buy decisions, technology selection, and infrastructure investments that balance current needs with future scale