Engineering Intern-NMS Resiliency Automation

Overview

At ST Engineering iDirect, we’re reshaping the future of global connectivity. As a leader in satellite communications, our groundbreaking technology empowers customers to grow, innovate, and transform their networks. Here, your skills and passion meet our vision and expertise to create something extraordinary. If you're ready to tackle technology’s biggest challenges and redefine how the world connects, the most exciting chapter of your career awaits. With ST Engineering iDirect, the sky isn’t the limit—it’s just the beginning! 

 

Project Overview

Join the Intuition NMS team and help improve the resiliency of a large‑scale, cloud‑native network management system used by satellite operators worldwide. You will build Python automation that triggers controlled Kubernetes pod failures, measures service recovery (RPO/RTO), and generates insights that directly enhance product reliability.

 

Your work will create a repeatable, automated resiliency testing framework used across the engineering team to validate system behavior under real‑world failure conditions.

 

About the Team

NMS QA ensures the quality and reliability of Intuition NMS—a modern microservices platform that provides real‑time monitoring and automation for satellite networks worldwide. This internship offers practical experience with distributed systems and cloud technologies used to support mission‑critical operations.

Responsibilities

What You’ll Do

• Build Python automation to simulate pod failures in Kubernetes.
• Measure and analyze service recovery (RPO/RTO).
• Generate load, collect metrics, and produce resiliency findings for NMS components.

Qualifications

 

Required Skills (Must Have)

• Strong Python scripting/automation skills
• Basic Kubernetes knowledge (pods, deployments, kubectl)
• Linux CLI familiarity
• Ability to analyze logs and system behavior

Nice to Have (Learnable During Internship)

• Prometheus or Grafana experience
• Understanding of microservices or distributed systems
• Basic knowledge of Postgres