Nym empowers healthcare providers with AI-based solutions that simplify administrative workflows and optimize revenue cycle management processes.

Our interdisciplinary team has developed innovative technology that can understand clinical language and provide a new way to analyze and decode medical records into clear, concise, and actionable information.

Nym leverages this technology to fully automate medical coding, delivering greater efficiency, accuracy, and cost savings to the revenue cycle. Our autonomous coding engine supports six specialty areas: emergency medicine, radiology, outpatient surgery, outpatient visits, inpatient professional services, and urgent care.

At Nym, the future is bright. Our engine currently processes over 6 million charts annually across more than 300 healthcare facilities in the US, enabling clinical and administrative teams to spend more time on patient care. We are backed by top-tier VCs and growing rapidly, with offices in New York City and Tel Aviv.

Join us!

About the team:

Our engineering team builds and operates the backend and infrastructure systems that power our products at scale. We are a highly collaborative team, focused on reliability, performance, and scalability, taking ownership of core services and the infrastructure that supports them.

The team works closely with infrastructure and DevOps practices day to day, including cloud infrastructure, deployment pipelines, database design, monitoring, and system automation. While our primary focus is backend and infrastructure engineering, we own and maintain a few web apps, both internal and external.

In addition, the team is responsible for handling inbound and outbound integrations with our customers. This includes maintaining and optimizing the infrastructure and tools required for that process.

We also own and evolve the LLM & ML infrastructure that underpins key parts of our business, continuously optimizing for performance, stability, and cost efficiency as these systems scale.

Partnership is central to how we work. We collaborate closely with Product, DevOps, and other engineering teams to turn product ideas into robust, long-term technical solutions. We value engineers who enjoy working close to infrastructure, thinking holistically about systems, and contributing beyond strict role boundaries when needed.

Role and Responsibilities:

As a Backend & Infrastructure Engineer, you will design, build, and operate production-grade systems that serve as the backbone of our products.

Your responsibilities will include:

• Owning and evolving core backend services with a focus on reliability, performance, and scalability
• Designing and maintaining infrastructure components, including cloud resources, deployment pipelines, and monitoring systems
• Leading database design, migrations, and operational stability of data-intensive services
• Operating and optimizing LLM/ML infrastructure, improving performance, resilience, and cost efficiency
• Supporting customer integrations by building and maintaining robust inbound and outbound integration systems
• Collaborating closely with Product, DevOps, and other engineers to translate product requirements into long-term technical solutions
• Contributing to frontend or cross-stack work when needed to deliver complete, end-to-end features
  
  

This role is ideal for engineers who enjoy working close to infrastructure, take pride in operational excellence, and like contributing across system boundaries rather than staying narrowly scoped.

Requirements:

• 4+ years of professional experience as a Software Engineer, with a focus on backend development.
• Strong experience with Backend development using Python is required.
• Experience with cloud infrastructure, preferably with the AWS stack.
• Experience with end-to-end application development, from design to deployment and maintenance.
• Experience with SQL and familiarity with ORM tools (e.g., SQLAlchemy & Alembic).
• Familiarity with DevOps practices and tools, including CI/CD pipelines and Containerization technologies (e.g., Docker, Kubernetes).
• Ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly.
• Familiarity with LLM Provider Cloud services (e.g., AWS Bedrock, Azure AI foundry) - Advantage
• Frontend development experience, preferably React - Advantage