# Senior / Staff Backend Engineer, Maps

**Company:** [Radar Labs](https://hotfix.jobs/companies/radar-labs)
**Location:** New York, NY
**Role:** Backend Engineering
**Salary:** $200k – $300k/yr
**Experience:** 7+ years
**Skills:** Rust, Scala, Python, Airflow, Node.js, TypeScript, MongoDB, Redis, AWS, Kubernetes, Terraform, Rocksdb, Tantivy, Fsts, LLMs
**Posted:** 2026-08-14

> Build and own the geospatial data foundation behind Radar’s high-throughput geocoding platform, spanning ingestion, enrichment, indexing, and serving. The role requires a generalist engineer comfortable across Scala, Python, and Rust, with experience in large-scale data systems and customer collaboration valued.

## Job Description

## Responsibilities
- Own the data foundation under the geocoder, including how location data is modeled, kept consistent, and served reliably across Scala, Python, and Rust.
- Build pipelines that combine commercial and open data sources, expanding coverage and quality across US and international data.
- Bring LLMs and agents into the data layer for enrichment, labeling, and quality, with guardrails to keep them trustworthy.
- Work across the geocoding stack as needed, from the HorizonDB serving path to the Node.js/TypeScript API.
- Power more than 1 billion API calls per day.
- Talk to customers and prospects, incorporate feedback, and help make them successful.

## Requirements
- Generalist engineering mindset rather than being tied to a particular stack.
- Interest in talking to customers or prospects and helping them succeed.
- Deep curiosity about how systems work and tenacity with difficult problems.
- Most engineers participate in the on-call rotation.

## Nice-to-haves
- Former technical co-founder.
- Experience with high-throughput, high-growth SaaS applications.
- Geospatial infrastructure experience.
- Large-scale data pipelines or data-integration systems.
- LLMs in data or ML pipelines for enrichment, labeling, or evaluation.

## Technical Environment
- HorizonDB, a geospatial database written in Rust.
- Tantivy, RocksDB, and FSTs for indexing.
- ML models for query understanding and ranking.
- Scala and Python data pipelines on Airflow.
- Node.js and TypeScript API layer.
- MongoDB, S3/Athena, and Redis.
- AWS, Kubernetes on EKS, and Terraform.

## Compensation and Benefits
- Competitive salary.
- Meaningful stock options.
- 401(k) plan with 4% match.
- Top-notch equipment.
- Catered lunches.
- Unlimited PTO.
- Health, dental, and vision insurance with 100% employee coverage.
- 12 weeks of paid parental leave.
- Commuter and fitness benefits.
- Benefits may vary by location.

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