Senior Backend Engineer

Our Story

Since 2023, our mission has been clear: to be the north star of patient equity.

Every day, we strive to bridge the gaps in healthcare access and outcomes to ensure that every patient, regardless of background or circumstance, receives the care they deserve. As a member of our team, you'll be at the forefront of innovation, working alongside passionate individuals who share your dedication to creating best-in-class, patient-centric products in healthcare. Together, we're revolutionizing the way people understand their health and working with the world's top researchers to accelerate innovation.

About Novellia

Novellia is the first and only company that lets anyone in the U.S. gain access to nearly a decade of their health data in under 30 seconds — 100% free. All your health records, across every doctor, in one place, always up to date.

We are the only patient-powered real-world data platform delivering comprehensive, patient-authorized longitudinal health insights to accelerate biopharma innovation. Unlike traditional RWD providers who deliver fragmented institutional data, we empower patients to access 20+ years of their health records, then transform these complete health journeys into fit-for-purpose datasets for evidence generation, regulatory submissions, and market access. We are growing 5x year over year, have raised close to $30M in funding, and are backed by tier-1 investors including Spark Capital, Khosla Ventures, and Bling Capital.

Working with the world's top researchers, we turn health insights into life-changing action for millions of people around the world.

We are seeking talented and experienced Backend Engineers to join our dynamic team. The ideal candidate will have expertise in building scalable distributed systems, with strong experience in modern backend technologies and cloud platforms. As a crucial member of our engineering team, you will play a key role in developing robust backend services and AI-powered features that process and analyze healthcare data at scale.

Responsibilities

Develop backend services and processing pipelines that handle large volumes of healthcare data efficiently

Integrate and optimize AI components, including Large Language Models (LLMs), to power intelligent features and insights

Collaborate with frontend, data, and AI teams to deliver seamless, data-rich user experiences

Take ownership of end-to-end feature development, from conception to deployment and maintenance

Implement observability for services and data pipelines to enable effective diagnostics and surface performance insights through monitoring, logging, alerting, and autoscaling

Implement best practices for coding, testing, and deployment to ensure high-quality deliverables

Work closely with product owners and designers to translate requirements into technical specifications

Stay up to date with backend best practices, emerging AI tools, and trends in healthcare interoperability and AI

Requirements

Bachelor's degree in Computer Science, Engineering, Math or equivalent

5+ years of experience in backend development, with experience building scalable, distributed systems

Strong proficiency in one or more modern programming languages (e.g., Python, Node.js, Java)

Solid understanding of RESTful API design and microservices architectures

Experience with cloud platforms (AWS, GCP, or Azure)

Strong experience in system design, backend services, data processing, and analytics

Solid understanding of backend observability (monitoring, logging, alerting, autoscaling)

Hands-on experience with relational databases

A history of delivery on high impact organizational projects

Minimum of 2 years in a startup environment

Strong debugging, problem-solving, and communication skills

Passion for product development and a willingness to take initiative and ownership of projects

Commitment to following best practices and standards for software development

Wants to be part of building an engineering team from the ground up

Preferred Skills

Experience with message queues, data streaming platforms, and vector databases