Staff Software Engineer - Backend

• *Job Requirements**

We are building a cloud\-native AI platform for medical imaging — powering AI\-assisted diagnostics across neurology, cardiology, and oncology. You will own end\-to\-end development of backend microservices that ingest, process, route, and serve medical imaging data at scale across hospital networks.

This is a hands\-on engineering role. You will design, implement, and ship production services.

• Develop and upgrade core imaging microservices supporting 2D/3D rendering of medical images and segmentation of body parts and organs. Subsystems include DICOM and HL7/FHIR services, built\-in DICOM Q/R, and CUDA\-based rendering server. The orchestration of image processing algorithms which are incorporated / onboarded into the system as server plug\-ins.
• **Own and drive end\-to\-end development of major features or large software components** \- from high\-level design (HLD) through implementation and deployment.
• **Build reliable async and event\-driven systems** — design and implement RabbitMQ\-based IPC patterns for inter\-service communication; develop background worker services, cron\-scheduled cleanup jobs, and event\-driven processing pipelines.
• **Uphold security and data integrity standards** — implement TLS certificate lifecycle management, JWT/OAuth2\-based authentication, and encryption (AES, SHA\-256\) for patient data protection; design for multi\-tenant isolation from the start.
• Build cloud\-based and on\-premise platforms that host and execute containerized (Docker/Kubernetes) algorithms conforming to API specifications, delivering image\-based intelligence across web and mobile interfaces.
• Perform design and code reviews; contribute to overall architecture of the platform and infrastructure.
• Collaborate with product management and tech leads to define features, create technical specifications, and provide effort estimates.
• Apply elasticity and scalability concepts; work with virtualization, load balancing, and API gateway technologies.

• *Work Experience**

• *Technical Skills:**

• **(Required) .NET Core / ASP.NET Core Expertise:** Strong proficiency in .NET Core, ASP.NET Core, .NET Web API, OOP concepts, and design patterns including dependency injection. This is the primary technical requirement.
• **(Required) SQL and NoSQL databases** — hands\-on experience with both relational (PostgreSQL or SQL Server) and document databases (MongoDB); practical skills in data modeling, indexing, and the repository pattern for each.
• **(Required) Cloud \& Container Orchestration:** Hands\-on experience with Kubernetes, Docker, and cloud platforms including AWS, GCP, and Azure.
• **(Good Knowledge — at least one) Medical imaging and healthcare interoperability standards** — working knowledge of at least one of: DICOM Web protocols (WADO\-RS, STOW\-RS, QIDO\-RS), HL7 v2 message integration, or FHIR R4 APIs. Experience across more than one standard is a strong plus.
• **(Good Knowledge) Full Stack Development:** Experience with Angular/TypeScript, SQL Server, and modern web technologies.
• Overall 8\+ years of experience with minimum 3 years in .Net Core, multi\-threading, and client\-server architecture. Good knowledge of network communication.
• Linux and shell environment proficiency required.
• Proficiency with Git source control system.
• Experience working with distributed and remote team members.
• **(Plus):** Python, C\+\+ beyond 2 years, agentic AI, and LLM experience.