Ground Software Development and Operations Engineer

About the role

The Lunar Data Network (LDN) Ground Software Development and Operations Engineer will be part of the LDN Ground Software team and assist in developing ground software tools, interfaces, and real-time operations console frameworks. Aside from the development work, this role will also involve key participation on the real-time console team supporting the LDN ground network infrastructure immediately following the launch of IM-3 and Altus-1 later this year.

Responsibilities

• Become familiar with IM’s Space Data Network architecture and associated technologies to provide data services between Earth and initially the cislunar space.
• Respond to real-time ground software events and anomalies to minimize service impacts.
• Collaborate with other members of the Operations Team in troubleshooting and problem resolution.
• Participate in simulations and operational rehearsals.
• Participate in agile sprints with ground software team to help deliver features, perform integration and quality assurance testing.
• Software Development activities including writing features, unit tests, console scripts and debugging.

Requirements

• Bachelor’s degree in engineering, computer science, or a related field and a minimum 3-5 years of experience in ground software development.
• Experience with Git/GitLab version control systems.
• Experience in at least one backend Framework (ASP.NET, Flask, etc).
• Proficiency with Linux commands, system tools, and bash scripting.
• Experience with JIRA and Agile development processes.
• Ability to support shift work and off-hours operations as required.
• Strong operational discipline and attention to detail.
• Good verbal and written communication skills.

Desired Knowledge

• Experience in satellite communications, space relay networks, or ground station operations.
• Experience working in a real-time console or operations center environment.
• Knowledge and experience with Docker Images/Containers.
• Knowledge and experience with Amazon Web Services (AWS).
• Knowledge and experience with Grafana or other data visualization tools.