We are seeking a Senior Software Engineer with deep expertise in Healthtech and Medical Services to lead the design and development of cutting-edge AI-driven systems in a fast-paced, mission-driven environment.
You will play a critical role in shaping the architecture and deployment of platforms at the intersection of healthcare, AI agents, cloud systems, and medical informatics.
You will collaborate with interdisciplinary teams to deliver intelligent, scalable solutions across medical data processing, device operations, and clinical informatics using FHIR, ICD-10/11, UMLS, and other healthcare standards.
Key responsibilities include leading the design, development, and deployment of robust software systems for healthcare and medical services, architecting and implementing cloud-native, scalable solutions, and working closely with data scientists and AI engineers to operationalize models in real-world medical environments.
You will ensure strong alignment with healthcare interoperability standards and drive engineering excellence while mentoring other engineers in TypeScript, Python, and modern software development practices.
Collaboration with product, design, compliance, and clinical informatics teams to ship secure, high-impact features is essential.
You will own technical decision-making, from infrastructure to data warehousing and backend services.
Requirements:
A minimum of 5+ years of professional software engineering experience, including team leadership or tech lead roles, is required.
Proven experience in Healthtech, Medical Informatics, or Healthcare IT, including familiarity with standards such as FHIR, UMLS, ICD10/11, and SNOMED, is essential.
Proficiency in TypeScript and Python, with strong experience in backend engineering, is necessary.
A solid understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable system design is required.
Familiarity with AI agents, data science workflows, and productionizing ML/AI models is important.
Hands-on experience with medical data warehousing, interoperability, and standards-compliant architectures is needed.
Knowledge of device operations and integration in healthcare contexts is a strong plus.
Candidates must be comfortable working in a fast-paced, agile, and iterative environment with high ambiguity.
Benefits:
The position offers the opportunity to work on clinical decision support systems or AI in diagnostics, which is a nice to have.
Experience with U.S. or international healthcare regulations (HIPAA, GDPR, MDR) is beneficial.
Exposure to medical ontology frameworks and semantic mapping (UMLS, LOINC, SNOMED) is a plus.
The role provides the chance to work on real-world healthcare challenges with global impact and help shape the future of intelligent, interoperable medical systems.
You will have the opportunity to collaborate with world-class experts across tech, medicine, and AI.
The position includes remote flexibility, continuous learning, and ownership from day one.
