Teams at Horizon3.ai

Lead the design and operation of AWS and Kubernetes platforms, infrastructure automation, CI/CD, observability, security, and developer self-service capabilities. Drive cross-team platform initiatives, establish technical standards, improve reliability and operational practices, participate in incident response, mentor engineers, and guide architecture for regional and ephemeral environments.

Own the production lifecycle for machine learning and LLM-backed systems, including training and post-training pipelines, inference serving, model releases, monitoring, retrieval infrastructure, and cost and latency optimization. Partner with AI researchers and engineering teams to move prototypes into reliable production capabilities across customer tenants. Develop ETL and GraphQL features, enforce tenant isolation, and support deployments in regulated or customer-controlled environments.

Own detection engineering domain expertise for EDR and endpoint platforms. Define detection, effectiveness, and tuning requirements; establish acceptance criteria; validate releases; and guide Product, Engineering, AI research, and Attack teams. Administer and tune production EDR systems, evaluate vendor policy semantics, maintain detection coverage, assess false positives and negatives, and define correct remediation recommendations. Use Python, SQL, APIs, and telemetry analysis to support technical decisions and documentation.