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SOFTWARE · Full-Stack-Engineering

Senior Software Engineer

Nucs AI

Senior · 3+ yrsRemote · USFull TimeListed 1mo ago
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Experience Senior · 6+ yrs (3+ years)

About the role

structured by ORI

About Nucs AI 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…

What you will do

  • Design and implement robust distributed systems that power AI diagnostic tools
  • Architect services that handle sensitive medical data reliably and scale gracefully under load
  • Build scalable microservices architectures using Kubernetes for orchestration and deployment
  • Develop event-driven systems with RabbitMQ and FastAPI backends
  • Create modern React frontends for clinical workflows and data management

What they are looking for

  • 3+ years of full-stack engineering experience with shipped products that real users depend on
  • Strong system design skills with experience architecting distributed systems and microservices
  • DevOps expertise with Kubernetes, containerization, CI/CD, and Google Cloud Platform
  • Backend proficiency in Python with Flask or FastAPI for building reliable APIs and services
  • Database expertise in SQL and relational data modeling for handling complex medical data
  • Experience with message queues and event-driven architecture patterns
  • Clear communication skills and a pragmatic approach to solving complex technical problems
  • Frontend competency in TypeScript and React
  • CEFR Level C1 or C2 certification in English, or equivalent demonstrable mastery of the language
  • Strong academic background with a degree from a highly-ranked university

Nice to have

  • Experience in healthcare/medical software development
  • Knowledge of regulatory requirements (GDPR, ISO 13485)
  • Experience integrating ML/analytics into production workflows
  • Strong security mindset with experience in threat modeling and compliance
  • Familiarity with infrastructure-as-code tools (Terraform, Pulumi)
  • Experience with WebGL, WebGPU, or medical imaging frameworks (Cornerstone3D, )

Benefits

  • Mission with real impact
  • Ground-floor opportunity with meaningful equity
  • World-class collaborators
  • Autonomy and flexibility (Remote-first, flexible working)
  • Competitive equity package
PythonTypeScriptReactSQLMicroservicesDistributed SystemsDevOpsCI/CDKubernetesRabbitMQFastAPIFlaskGoogle Cloud PlatformTerraformPulumiCornerstone3D
Full posting text

About Nucs AI

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.

Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. 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.

The Opportunity

Join our engineering team as a Full Stack Engineer and help build the next generation of medical imaging platforms. You'll work at the intersection of healthcare and technology, developing secure, scalable systems that directly impact patient care and clinical workflows.

You'll design and implement robust distributed systems that power our AI diagnostic tools—architecting services that handle sensitive medical data reliably, scale gracefully under load, and integrate seamlessly with hospital infrastructure.

What You'll Build

Scalable microservices architectures using Kubernetes for orchestration and deployment

Event-driven systems with RabbitMQ for reliable asynchronous processing of medical data

Robust FastAPI backends that process and serve medical imaging data at scale

Production-grade CI/CD pipelines with comprehensive testing, monitoring, and rollback capabilities

Scalable data architectures using SQL databases with smart indexing and caching strategies

Monitoring, logging, and alerting systems that ensure reliability in clinical environments

Seamless integrations between internal services and external healthcare systems (HL7, FHIR)

Modern React frontends for clinical workflows and data management

Requirements

What You Bring

3+ years of full-stack engineering experience with shipped products that real users depend on

Strong system design skills with experience architecting distributed systems and microservices

DevOps expertise with Kubernetes, containerization, CI/CD, and Google Cloud Platform

Backend proficiency in Python with Flask or FastAPI for building reliable APIs and services

Database expertise in SQL and relational data modeling for handling complex medical data

Experience with message queues and event-driven architecture patterns

Clear communication skills and a pragmatic approach to solving complex technical problems

Frontend competency in TypeScript and React

CEFR Level C1 or C2 certification in English, or equivalent demonstrable mastery of the language

Strong academic background with a degree from a highly-ranked university

Bonus Points

Experience in healthcare/medical software development

Knowledge of regulatory requirements (GDPR, ISO 13485)

Experience integrating ML/analytics into production workflows

Strong security mindset with experience in threat modeling and compliance

Familiarity with infrastructure-as-code tools (Terraform, Pulumi)

Experience with WebGL, WebGPU, or medical imaging frameworks (Cornerstone3D, )

Why Nucs AI

Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated.

Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take.

World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally.

Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets.

Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver.

Equity upside – Competitive equity package. We’re building something big and want you to share in it.

How to Apply

Submit your resume and a brief note on why this role and Nucs AI excite you.

Equal Opportunity

Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Originally posted on Himalayas

Full-Stack-EngineeringSoftware-EngineerBackend-EngineeringFrontend-EngineerHealthcare-TechnologySenior-Software-DeveloperSenior-Software-Engineer-JobsSenior-Engineer
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Opportunity details

Deadline
Closing in 29d · 23 Nov

As stated by the source. Anything not shown was not stated.

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