Platform Software Engineer, Data

Lumos is making it a joy for companies to manage their apps and identities ✨. By integrating usage, spend, compliance, and access data, we provide a level of clarity and insight previously unimaginable. To deliver a best-in-class product, Lumos depends on state-of-the-art data pipelines that power our analytics and AI-driven solutions.

We’re looking for a Staff or Principal Software Engineer to lead the design architecture of our Entitlements and Access Management Integrations Platform. This is a foundational role—one that directly shapes how enterprises manage who gets access to what, and why, across their software ecosystem. You'll architect the systems that power automated provisioning, fine-grained entitlements, and identity-aware integrations that customers trust to enforce the right access in the right context.

As part of a small and high-impact team, you’ll operate with autonomy, lean into ambiguity, and solve for scale. You’ll partner with product and engineering leadership to design platform capabilities that not only meet compliance and security requirements, but also delight developers and customers with their clarity and reliability.

We’re a startup that believes in owning the outcome, staying curious, and building with trust—both in the software we ship and the people we work with.

• Design, develop, and implement software solutions that integrate with our data platform, including data warehousing, data lakes, stream processing, and data pipelines. ⭐
• Contribute to the technical vision for a world-class data infrastructure that empowers engineering, product, and AI teams, enabling seamless access to high-quality data. 🚀
• Own and execute on the strategy for scaling our OLTP layer (MySQL). 🌱
• Promote and implement software engineering best practices for building scalable, reliable, and secure data-centric applications. Elevate the principles of software engineering within the data domain. 🙌

While specific qualifications are less important than your drive and potential, the following experiences will set you up for success in this role:

• Proven experience in software engineering, with a track record of delivering complex software projects.
• Proven experience in scaling data heavy applications and administering a production database cluster.
• Solid understanding of data structures, algorithms, and database concepts.
• Experience in designing and implementing software solutions that interact with data systems.
• Knowledge and experience with modern data stack technologies (e.g., Snowflake, Delta Lake, Dagster, Airflow, cloud platforms like AWS, GCP, or Azure).

• $190,000 - $245,000 Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience.