Jacob Urmanec
Engineering resilient software and cloud systems for complex operational environments.
Cloud-native middleware, workflow orchestration, and operational monitoring, now extending into industrial edge-to-cloud telemetry.
Capabilities
Areas of practice
Workflow and integration systems
APIs, queues, events, and downstream coordination shaped for operational handoffs.
Operational monitoring and assurance
Telemetry, anomaly detection, alerting, and operator paths that make failures visible.
Cloud modernization and reliability
Serverless platforms, deploy automation, observability, and deliberate failure recovery.
Industrial edge and automation
Emerging edge-to-cloud telemetry with C++ / ROS 2 / AWS — expanding capability, labeled honestly.
Featured work
Portfolio demonstrations
Industrial cell telemetry bridge
ROS 2 / C++ edge path into a thin AWS ingest floor — industrial-shaped edge-to-cloud tracer, not a robot or ML claim.
Anomaly monitoring system
Configurable monitoring over time-series observations with CloudWatch ingest, rule evaluation, Slack alerts, and an operator console.
Serverless orchestration
Step Functions–style order orchestration with parallel enrichment, failure taxonomy, contracts-first design, and async downstream handoff.
Event-driven serverless middleware
Order-lifecycle scaffolding for event ingest, persistence, store APIs, lifecycle jobs, and observability-as-code on AWS Lambda.
From cloud reliability to physical systems
Teams building robotics, physical AI, advanced manufacturing, and production ML need more than models and machines. They need durable edge-to-cloud data paths, dependable orchestration, operator-facing monitoring, and verification across the deployment lifecycle. Work in anomaly monitoring and ROS 2 telemetry is a deliberate bridge from established cloud reliability practice toward the infrastructure that makes intelligent physical systems observable and operable.