At Arlo, we’re transforming health insurance for small and medium-sized businesses across the U.S. Our mission is to make healthcare more affordable by driving innovation at every level of health plan design. Arlo brings affordable, high-quality, long-term oriented, and ethical health insurance to employers.

2024 marked our breakthrough year: we hit profitability, found strong market fit, and brought affordable healthcare to more than 200 businesses and their employees.

We’re a small but mighty team brining wide-ranging expertise:

Developing mission-critical software at Palantir
Scaling a Y Combinator startup from the very first hire to Series A (50+ employees)
Creating actuarial models used by major health insurers
Leading patient operations teams at a high-growth health plan startup

About the Role

Our product stands on two powerful pillars: our industry-leading quoting platform and our cutting-edge underwriting and risk analysis API.

We’re looking for a backend engineering unicorn—a skilled builder who thrives at the intersection of scalable systems, API design, and data pipelines. This role offers the rare chance to craft the foundation of a modern platform while working on some of the most exciting challenges in data engineering and AI infrastructure.

One day, you might be designing APIs that power our quoting portal and delight our product engineers; the next, you’ll be building scalable ETL pipelines or creating infrastructure to support AI workflows. If you’re excited by the idea of having ownership over impactful projects, working closely with a lean, talented team, and solving big technical problems, we’d love to talk.

What You’ll Do

Architect and develop high-performance, scalable backend services that power our quoting platform, AI systems, and internal automation tools.
Design and maintain robust, opinionated APIs to keep our product engineers moving quickly and efficiently.
Build scalable, reliable, and observable data pipelines that process high volumes of critical data.
Collaborate with data science teams to create ETL pipelines and architecture that empower AI and machine learning workflows.
Take ownership of infrastructure decisions and lead the charge on designing systems that scale seamlessly as our business grows.

What We Value

Autonomy and Curiosity: You’re eager to learn, can work independently, and thrive when given the freedom to solve problems your way.
Judgment and Adaptability: You’re skilled at prioritizing projects and making sound decisions in a dynamic, fast-paced environment.
Collaboration: You communicate effectively with both technical and non-technical teammates, always keeping the end-user in mind.
Ownership: You’re ready to own projects end-to-end, from designing architecture to writing clean, maintainable code.

Requirements

3+ years of experience as a backend engineer, data engineer, or software engineer with exposure to data pipelines and large-scale infrastructure.
Strong understanding of data structures, algorithms, and scalable system design.
Experience building high-volume, low-maintenance ETL pipelines for machine learning or analytics.
Demonstrated ability to design secure, robust, and scalable infrastructure for data and backend systems.
Proficiency in a backend programming language like Python and solid SQL skills for querying and database design.
Hands-on experience with big data tools (e.g., Spark) and pipeline orchestration platforms (e.g., Dagster, Airflow, Prefect).
Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services.

Why Join Us?

Be part of a team building industry-changing technology that directly impacts our clients and millions of people.
Work alongside a talented team that thrives on innovation, transparency, and collaboration.
Join a team that pushes each other to excel, supports one another through challenges, and builds each other up to achieve our best work together.
Enjoy competitive medical, dental, and vision coverage, plus a generous vacation policy—work hard, recharge when needed, and come back ready to make an impact.

Process

This is what you can expect when we like your application:

30-minute introductory call with Karthik (CTO/COO & Co-Founder)
Take-home coding challenge
60-minute review of your coding challenge with Karthik (virtual)
Onsite interview at our NYC office, including technical and behavioral/cultural components

Apply now

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