Senior Software Engineer - Core

Role Overview

We are looking for a Senior Software Engineer who is equally comfortable writing high-performance C++ as they are shipping Python services, and who can reason clearly about algorithms, data structures, and system behavior under load. This is a broad, hands-on role working across the full depth of our platform, including building data replay infrastructure for system validation, aggregating traffic data over spatial and temporal windows to generate real-time insights and incident records, improving object tracking algorithms, and ensuring video and sensor data flows reliably from edge devices to the cloud, routing data to AI models for verification and classification.

You will focus on making these systems observable, performant, and production-ready. Our architecture centers on strong API interfaces, supported by a robust stack including PostgreSQL for persistence and Terraform, Helm, and Argo for infrastructure and deployment. You will collaborate across engineering teams to integrate new product features into efficient, low-latency services, while leveraging Datadog to ensure deep visibility into system health.

This is a fully remote, hands-on individual contributor role with meaningful ownership across core systems. We are looking for a generalist who can operate autonomously end to end, from design through deployment and ongoing operation, while using AI-assisted tools thoughtfully to move faster without compromising quality. You think beyond the code, connect your work to the broader product and user experience, and take initiative to turn ideas into action in ambiguous environments.

Core Responsibilities

• Build and maintain high-throughput, low-latency Python and C++ services, owning the full lifecycle from development to monitoring and incident response.
• Design and optimize data structures, Protobuf serialization, and Redis Streams for real-time data processing workloads.
• Architect and manage data pipelines from raw sensor ingestion to transformation, storage, and delivery.
• Integrate low level tracking, inference and sensor fusion algorithms into production services.
• Develop REST APIs and internal/external service integrations.
• Implement observability, CI/CD pipelines, and infrastructure as code (Terraform) for reliable, repeatable deployments.
• Operate critical systems in production with monitoring and incident response.