Engineering Manager - Python

Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.
We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice.
We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves.

This role owns the platform engineering domain at Nucs AI — architecture, delivery, team, and cross-functional alignment. You'll work in close partnership with the CTO, co-owning technical direction while holding authority over platform architecture, engineering practices, and delivery. This isn't a role where decisions are made elsewhere and handed to you - you'll shape how the platform evolves and ensure it keeps pace with an ambitious product and clinical roadmap.
You're joining an early-stage, high-caliber engineering team with a clear mandate to grow. Engineering Culture & Team Leadership
Shape and guide the engineering culture - clarity, trust, and technical quality as foundational values
Manage backend, frontend, DevOps, and QA engineers; support career growth and autonomy
Oversee architecture, delivery, and reliability of the core platform: cloud infrastructure, APIs, data pipelines, and deployment systems
Drive technical decisions on tooling, frameworks, and infrastructure in collaboration with the CTO
Design and evolve scalable, secure architectures for DICOM/PACS workflows and clinical data infrastructure
Facilitate technical collaboration between engineering, ML, product, and clinical partners
Operations & Compliance
Manage platform reliability, security, and compliance in line with SaMD and regulatory requirements
8+ years of software engineering experience, with 3+ years in a technical lead or engineering management role

• Strong hands-on experience with cloud platforms (GCP preferred), Kubernetes, microservices, and distributed systems
• Deep experience with secure data infrastructure, and external system integration
• Proficiency in Python and modern backend frameworks (FastAPI, Flask) and frontend experience
• Proven ability to lead, mentor, and grow engineering teams in fast-paced environments
• Bonus Points

Experience in healthcare, MedTech, or regulated software environments (ISO 13485, FDA QSR)
Familiarity with medical imaging pipelines (DICOM/PACS) and clinical data workflows
Background inproduct/platform engineering disciplines
Experience aligning ML and engineering teams on shared infrastructure and delivery goals
Autonomy and flexibility – Remote-first, flexible working. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.