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Uptiv Health · 1 day ago

Lead Engineer (Sr. Full Stack Engineer)

Detroit, MI

Full-time

Hybrid

Senior Level, Lead/Staff

8+ years exp

Uptiv Health is transforming the experience of infusion care for millions of Americans with chronic conditions. The Lead Engineer will take full technical ownership of the platform architecture, focusing on AI development and ensuring seamless interoperability across clinical and operational systems.

Health CareHospitalMedical

Responsibilities

Own the technical roadmap and architecture, ensuring systems are secure, reliable, and built for scale

Contribute to technology budgeting and forecasting. Partner with executive and financial teams to model and monitor the financial impact of technology decisions, including infrastructure cost, AI model training/serving expenses, and run-rate optimization

Champion an AI-first development approach, embedding intelligence and automation into core platforms and workflows

Lead system interoperability, designing flexible APIs and data models that enable seamless connectivity across internal and external systems

Drive engineering excellence through strong development practices, testing, observability, and DevOps discipline

Collaborate cross-functionally with Product, Operations, and Clinical leaders to translate business goals into scalable technical solutions. Work with remote and distributed teams to drive most effective implementation of the strategic priorities

Collaborate with technical teams and partners, fostering a culture of innovation, efficiency, and quality

Evaluate and manage 3rd party vendors, ensuring technology decisions align with Uptiv’s long-term platform vision

Utilize human-centered design principles and behavioral insights in collaboration with product and design teams and end users, to deliver solutions focused on improved end user experience and engagement

Qualification

Full-stack engineeringAI/ML developmentHealthcare experienceSystem architecturePythonReactAPI designDevOpsCloud infrastructureCustomer obsessionCommunication skillsCollaborationProblem-solving

Required

8–10+ years of full-stack engineering experience, including technical leadership in healthcare

Ability to thrive in ambiguity and fast-changing environments, experience in start ups

Excellent communication skills and ability to bridge technical and business perspectives

Experience successfully working with remote and distributed teams

Must be customer obsessed and have a zest for improving current healthcare models; experience developing consumer end-user platforms a plus

Understanding of cloud cost optimization, margin analysis, and how technology investments translate to business metrics and user experiences

Hands-on experience building with AI/ML models, orchestration frameworks, AI agents and integrating AI toolkits into software engineering processes (ex. Claude Code, Codex, Windsurf, Cursor, etc.) that optimize the engineering lifecycle (build, test, deploy, documentation, communications)

Hands-on experience launching products with AI solutions embedded as part of the offering

Experience designing data lakehouse architectures (e.g., Snowflake, Databricks, or BigQuery) and operationalizing AI models through secure, compliant data pipelines and analytics infrastructure

Proven success leading system architecture in production healthcare environments at scale and understanding of privacy-preserving data architecture (HIPAA, PHI, etc.)

Deep experience with Python, Node.js, or Go

Expertise in React, Angular, or similar modern frontend framework

Proficient in designing robust APIs and experience developing secure, distributed microservices

Expertise in healthcare interoperability standards (HL7, FHIR, EDI, payer APIs)

Hands-on experience with DevOps, IaC, CI/CD pipelines, and cloud infrastructure (Azure, GCP, or AWS)

Previous success in building integrations and automation between EMR, CRM, RCM and other distributed systems