Position Details
About this role
Amazon Leo is building and automating SCADA infrastructure and platform deployments for a satellite manufacturing environment. This role focuses on backend development, Infrastructure as Code, and CI/CD pipelines to abstract SCADA deployment/configuration from SCADA application development while improving reliability, disaster recovery, and developer experience.
Key Responsibilities
- Design and implement scalable backend infrastructure for Ignition SCADA platform deployments
- Develop CI/CD pipelines and Infrastructure as Code using DevOps practices for SCADA system provisioning
- Build automated deployment frameworks and configuration tools for Ignition SCADA applications
- Architect cloud-native and hybrid infrastructure solutions supporting OT/IT convergence and SCADA scalability
- Implement security frameworks and compliance controls for OT infrastructure and perform technical troubleshooting/root cause analysis
Technical Overview
You will design scalable backend infrastructure for Ignition SCADA Platform deployments, implement CI/CD and Infrastructure as Code using DevOps practices, and build automated deployment and configuration tools. The scope includes cloud-native and hybrid infrastructure supporting OT/IT convergence, plus monitoring/logging/observability and security/compliance controls.
Ideal Candidate
The ideal candidate is a hands-on systems and automation engineer with direct experience deploying Ignition SCADA Platform at scale using modern DevOps practices. They can build Infrastructure as Code and CI/CD pipelines that automate SCADA infrastructure lifecycle deployment, while delivering reliability, disaster recovery, and strong observability for OT/IT environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must be able to satisfy the Export Control Requirement (US citizen) stated in the posting, Hands-on experience with Ignition and deploying Ignition SCADA Platform through DevOps practices (as described)
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