Junior Software Engineer

About this role

About Anomaly

Anomaly Insights is the first AI-powered provider intelligence company built to close the knowledge gap that has fundamentally disadvantaged healthcare providers for decades. The healthcare payment system is governed by incentives, not rules - and payers have long held the data advantage that shapes how those incentives play out.

Anomaly exists to change that.

By analyzing billions of transactions in real time, the Anomaly platform decodes payer behavior at machine speed and precision, giving health systems, provider groups, and diagnostic laboratories the intelligence to go on offense with payers and change the terms of their financial relationships. The work is technically serious, the mission runs all the way through the organization, and the problem being solved has consequences that extend well beyond revenue metrics: providers that cannot get paid cannot deliver care.

Anomaly is backed by Sound Ventures, RRE Ventures, Madrona, and Redesign Health, and is building something that does not yet exist in the market. And we think we're pretty fun, too.

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Overview

As a Junior Software Engineer, you'll help build the software that enables healthcare providers to better understand the behavior of insurance companies.

This is an opportunity to work alongside experienced engineers, PhD-level data scientists, and our CTO on real production systems from day one. You'll contribute to the backend infrastructure that powers our products while learning how to design scalable systems, build reliable APIs, and translate complex data into software that customers use every day.

We believe the fastest way to grow is by owning meaningful work, collaborating closely with experienced teammates, and shipping software that makes an immediate impact.

This role is based in New York City, where you'll work closely with the engineering team in person.

Responsibilities

- Build backend services and APIs that power our customer-facing products

- Contribute to data ingestion and processing pipelines with a focus on reliability and data quality

- Build GenAI-powered product features that solve real customer problems

- Collaborate with senior engineers to design scalable, maintainable systems

- Work closely with data scientists to turn machine learning models into production software

- Participate in code reviews, technical discussions, and architecture decisions while continuously developing your engineering skills

- Learn quickly, take ownership, and contribute across the product development lifecycle

Qualifications

We're much more interested in potential than years of experience.

We're looking for someone who has:

- A Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field from an academically rigorous school

- Strong computer science fundamentals, including data structures, algorithms, and software design

- Experience programming in Python, Java, Scala, or another modern programming language through coursework, internships, research, or personal projects

- A passion for building software and solving difficult technical problems

- Strong communication skills and a collaborative mindset

- Curiosity, humility, and a desire to learn from experienced engineers

Nice to Have

- Internship experience at a technology company or startup

- Personal projects, hackathons, research, or open-source contributions

- Experience with SQL, cloud platforms, or distributed systems

- Exposure to APIs, backend development, or data engineering

- Interest in GenAI, machine learning, or data-intensive applications

Why Anomaly?

Joining Anomaly means working on meaningful technical problems that have real-world impact. You'll be part of a small team where your work matters, your ideas are heard, and your growth is a priority.

You'll learn directly from experienced engineers, collaborate with world-class data scientists, and gain exposure to every stage of building and scaling a modern software platform.

If you're excited about solving challenging engineering problems, using and applying bleeding edge GenAI, shipping production software, and accelerating your growth alongside a high-caliber team, we'd love to meet you.

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