Software Engineer - Backend

Architect and implement scalable backend services and data pipelines for high-throughput, real-time streams of video, sensor, and detection data.

Design and optimize distributed storage and compute systems for low-latency data access and high availability.

Develop and maintain infrastructure-as-code using Terraform to manage cloud resources in AWS.

Build and operate Kubernetes-based deployments with a focus on reliability, observability, and efficient resource utilization.

Design relational and time-series data models in PostgreSQL, optimizing for ingestion throughput and query performance.

Develop event-driven architectures using Kafka, SQS, or similar messaging systems.

Collaborate with perception and full-stack teams to define API contracts and data flow designs across real-time and analytical workloads.

Own the reliability of core backend systems, including on-call, incident response, and capacity planning.

Strong experience designing and operating distributed systems in production.

Deep proficiency in Python, Go, or Node.js with a solid foundation in systems-level thinking.

Extensive experience with AWS (EC2, ECS/EKS, S3, RDS, SQS, Lambda, VPC networking).

Hands-on experience with Terraform or equivalent infrastructure-as-code tools.

Strong PostgreSQL skills—schema design, query optimization, and migration strategies.

Experience with containerized deployments (Docker, Kubernetes) and CI/CD automation.

Familiarity with event-driven and streaming architectures (Kafka, Kinesis, or equivalent).

Solid understanding of networking, security, and identity management in cloud environments.

Interest in physical AI, IoT, or large-scale distributed sensing systems.