Kubernetes experience, including cluster management as well as application deployment and configuration Experience with IoT/Edge device compute and infrastructure Experience or interest in RF, Cellular, Satellite communications (Bluetooth, GPS, WiFi, LTE/5G) Experience with modern web-scale services including servers, vips, load balancers, proxies Experience working with monitoring and metrics platforms like Splunk and Prometheus Education: Engineering or technical BS is a positive but not required. Strong familiarity with consensus algorithms (e.g., Raft, Paxos, Zab, etc) Experience building and operating multi-clustered and highly-available services Experience with Temporal/Cadence/Windmill or other durable execution platforms Understanding of zero-trust application architecture Proven experience building and optimizing real-time and batch data processing pipelines using technologies such as Kafka, Spark, Flink, Beam, etc.