Senior OT/IT Systems Engineer for Satellite Manufacturing

Amazon

Arlington (VA)

On-site

USD 151,000 - 205,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Kuiper Manufacturing Enterprises LLC is seeking a Sr System Development Engineer to bridge IT and OT in a satellite manufacturing setting. You will connect plant-floor equipment to MES, build real-time data pipelines, and develop dashboards, digital work instructions, and traceability tools to enable intelligent manufacturing.

AI solutions will drive predictive maintenance and quality inspection, enabling data-driven operations.

Qualifications

  • Experience leading the design, automation, deployment and support of large-scale infrastructure.
  • Proficiency in programming with at least one modern language (Python, Ruby, Golang, Java, C++, C#, Rust).
  • Experience with CI/CD pipelines build processes.
  • Experience working in a manufacturing environment.

Responsibilities

  • Bridge IT and OT environments by integrating plant-floor equipment with MES and protocols (OPC UA, MQTT, REST).
  • Build and maintain real-time data pipelines for end-to-end production visibility and traceability.
  • Develop custom manufacturing applications (dashboards, work instructions, monitoring, quality traceability) for satellite manufacturing.
  • Design, train, and deploy AI solutions for predictive maintenance, automated inspection, anomaly detection, and process optimization.
  • Collaborate with controls engineers to ensure equipment connectivity and PLC/SCADA integration.
  • Work with manufacturing engineers to translate process requirements into scalable digital solutions.
  • Assist network engineers to architect secure industrial OT/IT networks.

Skills

Infrastructure design
Programming languages
CI/CD pipelines
Manufacturing environment

Job description

Amazon Kuiper Manufacturing Enterprises LLC is seeking a Sr System Development Engineer to bridge IT and OT in a satellite manufacturing setting. You will connect plant-floor equipment to MES, build real-time data pipelines, and develop dashboards, digital work instructions, and traceability tools to enable intelligent manufacturing.

AI solutions will drive predictive maintenance and quality inspection, enabling data-driven operations.

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