Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction.
Design, implement, deploy, and own E2E cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture.
As all our systems are data-driven, you will have an analytical aspect in measuring your modules both business- and performance-wise.
Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship.
Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production.
Technological superiority is what gives us our edge, so you'll work and stay up to date with the latest tech and trends.
Requirements: 5+ years Backend Development in Go or Python.
Experience with containerized (Docker, Kubernetes) deployments.
Experience with relational and NoSQL databases / data warehouses or equivalent.
Team player, as well as the ability to be independent and proactive.
BSc degree in Computer Science, or equivalent military experience.
Experience with AI models (LLMs, model integration, agent tooling) - Bonus.
Basic knowledge of React / TypeScript and web technologies - Bonus.
Experience with Google Cloud Platform, GKE, BigQuery - Bonus.
This position is open to all candidates.