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Own and improve the data foundation for Radar's geocoding platform: model and serve location data, build large-scale ingestion and integration pipelines, improve coverage and quality, apply LLMs/agents for enrichment and labeling, work across Scala/Python/Rust and the Node.js API, operate systems at very high throughput, and engage with customers to inform product decisions.

Site Reliability Engineers will work on production infrastructure, focusing on AWS and Kubernetes while ensuring high availability and customer satisfaction.

Product Engineers will build features across mobile, frontend and backend, focusing on location services and customer feedback.

The Senior QA Engineer will build QA infrastructure for various platforms, improve test suites, and integrate AI tools for automation, ensuring a robust quality assurance process.

Build and improve Radar's data infrastructure with a focus on customer feedback and successful implementation. Engage with customers to enhance their experience and deploy new solutions.

Lead the Radar Protect engineering team, providing technical leadership across various tech stacks while interacting with customers to refine product offerings.

The role involves building machine learning systems for Radar's products, focusing on core ML infrastructure, anomaly detection, geolocation, and collaboration with customers.

Build and operate Radar's infrastructure and developer platform to support 1B API calls/day. Work on backend, SDKs, and data systems using TypeScript, Rust, Python, and Scala. Improve observability, automation, CI/CD, IAM, feature flags, and security; enable self-serve developer workflows; collaborate with SRE, data, QA, and customers; participate in on-call rotation.

The role involves enhancing application security for Radar, managing security for over 1 billion API calls daily, and collaborating with customers.

Lead and grow a distributed SRE team to ensure Radar's production infrastructure is highly available, scalable, and automated. Own observability, incident management, multi-region Kubernetes deployments on AWS (EKS), Terraform infrastructure, and MongoDB sharded clusters. Partner with product, platform, security and data teams, participate in on-call rotation, drive reliability and cost-saving initiatives, and incorporate customer feedback into infrastructure work.