- Experience deploying secure and highly available production systems on AWS
- Experience coding, developing, and configuring message brokers such as Kafka, ActiveMQ, or RabbitMQ. Must have experience in AWS IoT, Kafka, Kinesis, MKS, and event bridge
- Experience using container technologies such as Docker, Docker Swarm, and Kubernetes
- Experience in all facets of AWS Pipeline including coding, build & artifact packaging, deployment systems, on-call rotation, and SCRUM/Kanban
- Exposure to IoT devices and platforms; RaspberryPI, Arduino, AWS IoT, or Preferred on AWS IoT Core
- Experience with telemetry or remote monitoring is a plus
- Multiple OS exposure: Linux (Debian variants preferred, BSD & RHEL acceptable), Windows, and MacOS
- Experience in all facets of DevOps (AWS cloudwatch, AWS codecommit, codebuild, and codedeploy)
- Significant command shell experience such as z shell, bash, and PowerShell (embedded)
- Experience with production metrics systems inclusive of alarming/alerting and tuning notifications/thresholds; good to have experience on CloudWatch / CWL, Canaries, and Pingdom
- Designing and integrating RESTful APIs using Java, python
- Exceptional written, spoken, and visual communication skills
