Backend Engineer

Department: Engineering

Location: United States

Compensation: $180K – $200K • Offers Equity

Employment Type: FullTime

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.

Overview

As a Senior Software Engineer, you will build the tools that help healthcare providers stand their ground against insurance giants. We’re looking for a Senior Backend Engineer to build the architecture, the APIs, and the integration logic that brings our product to life.

You will work on translating complex healthcare data and machine learning outputs into scalable, real-time systems that deliver clear, actionable insights to end users.

You will report directly to the CTO. This role is open to fully remote, US-based candidates, with occasional travel to our NYC headquarters.

Responsibilities

• Build integrations with healthcare and financial systems

• Automate end-to-end data ingestion and delivery pipelines, with a strong focus on observability and data quality

• Build GenAI features and chat to solve real problems and build user confidence, backed by rigorous evaluation loops and guardrails

• Design high-throughput, low-latency systems where performance is a mission-critical requirement

• Be the glue between our PhD-level Data Scientists and Front-end Engineers, taking raw outputs and building the APIs that drive a full, impactful product

Qualifications

• 5+ years of professional software engineering experience

• Ability to write idiomatic, testable, and maintainable code in Python, Java, or Scala

• A “hacker mindset” — pragmatic, curious, and solution-oriented

Nice to have

• Experience building reliable data and ML pipelines using SQL, Spark, or Airflow

• Experience building and deploying online machine learning products

• Experience developing high-volume, low-latency APIs