Teams at SourceDirect Talent

Build and operate production data and streaming systems across edge, hybrid, OT, IoT, and enterprise environments. Responsibilities include developing connectors, real-time event-driven pipelines, data contracts, schemas, validation, lineage, observability, telemetry, federated query patterns, and reliable integration platforms supporting analytics and AI. The role requires strong ownership, system design, documentation, incident readiness, and collaboration with engineering and customer-facing teams.

Own fleet-scale infrastructure and SRE architecture for an edge platform supporting thousands of devices. Lead reliability, scalability, secure lifecycle management, observability, incident response, upgradeability, and operational standards. Serve as technical owner during high-severity incidents, drive root-cause remediation, apply AI to operations, and coordinate cross-domain initiatives spanning software, hardware, networking, security, data, and AI runtime. Mentor senior engineers and provide architectural leadership across the organization.

Owns end-to-end customer deployments of AI and edge systems, including hardware, networking, sensors, data flows, integrations, and production inference. The role requires diagnosing cross-stack issues, building reusable deployment patterns, collaborating with customer and partner engineering teams, and translating field learnings into product improvements. It involves 25–50% travel and hands-on work across infrastructure, security, containerized software, and operational environments.