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# Software Engineer

- **Company:** LUMOS
- **Location:** United States (Remote available)
- **Salary:** $155,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Infrastructure, Data Security, Data Systems, Relational Databases, Python (Programming Language), PostgreSQL, MySQL, Software Engineering, Change Data Capture, Backend, Debezium, Apache Kafka, Terraform, Grpc
- **Published:** October 28, 2026
- **Apply:** https://startup.jobs/software-engineer-nhi-platform-lumos-com-10594664

## About the Role

* 1+ years of professional backend or platform engineering experience building production systems other teams depend on, such as ingestion, sync, or event-driven pipelines.
 * Strong backend fundamentals. You've built APIs (REST or gRPC) and services backed by relational databases like Postgres or MySQL, and you've evolved schemas on live tables. Our stack is Python, Postgres and Kafka on AWS.
 * You care about correctness. You think about idempotency, ordering, retries vs. permanent failures, and dead-letter handling, because downstream products take action on the data you produce.
 * You operate what you ship. You've deployed containerized services to AWS, GCP or Azure, debugged from metrics, traces and logs, and been part of an on-call rotation.
 * You're excited to build from the ground up. This is a greenfield team, and the systems you build become the foundation every other Lumos product runs on.
 * Nice to have: Kafka, Temporal or change data capture (Debezium), Terraform, and familiarity with identity data like accounts, entitlements, service accounts and API keys.

## Description

* Design, develop, and operate systems that transform high volumes of identity data from third-party integrations to product consumers with correctness, freshness, and operational rigor.
 * 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.
 * Establish SLOs, observability, and operational tooling that catch and remediate failures in identity data systems before they reach customers.
 * 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.