At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known.

Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.

About the Team:

The IT team is responsible for the full scope of computing infrastructure, end-user systems, servers, virtualization, cloud, networking, software services, telecommunications, and information security. You’ll support every function across the company, from the production floor to flight operations, enabling Relativity’s world-class team to design, build, and launch rockets. The team balances near-term execution with long-term vision, developing scalable solutions and processes to enable the company's growth. The evolving complexity of our IT environment offers opportunities to stretch and sharpen problem solving and hands-on technical skills. We invest in our people, encouraging ownership, cross-training, and advancement, so our team can grow as fast and ambitiously as the company itself.

About the Role:

You'll protect the people and technical data behind our rockets. That means finding what can be better and building fixes that scale. The work covers a few areas:
Build and automate across the security stack. Build tools and AI-assisted workflows that take over the repetitive stuff: investigations, enrichment, access reviews, reporting. That way the team spends its time on real risk
Strengthen identity and access. Work with our IAM folks to harden Microsoft Entra ID, Azure, and Google Cloud. Hunt down privilege creep, exposed credentials, and misconfigurations. Learn and apply Conditional Access, least privilege, and privileged access best practices
Protect sensitive data. Help build DLP controls across endpoints, cloud services, and collaboration tools that keep IP and CUI safe while enabling R&D
Enable secure development. Partner with AppSec and infrastructure to build security into CI/CD pipelines: secrets detection, dependency scanning, vulnerability checks. Ship self-service guardrails so the secure path is the easy path
Automate compliance. Turn requirements like CMMC Level 2 and NIST SP 800-171 into code. Collect evidence automatically and check controls continuously
Spot and fix process gaps. You'll have room to find what's slow or broken, pitch a fix, and ship it. Along the way you'll work with experts across every area, learn from them, and help raise the whole team's game

About You:

2-4 years of hands-on work in cybersecurity, IT, cloud, or a related technical field, in roles where you built things and solved problems, not just working in a queue
Curious and self-starting. You don't wait for perfect instructions. You ask questions, dig in, test ideas, and learn by doing
Comfortable with scripting, automation, and AI. You can write Python, Bash, PowerShell, or similar to connect systems through APIs and automate repetitive work. You use AI coding assistants and LLMs to move faster, learn new tools, and prototype ideas. You also understand what they give you and know when to double check it. You don't need to be a software engineer or an ML specialist. You just need to be resourceful and excited to use these tools to work smarter