Senior Software Engineer, Backend

About the Team:

Relativity Space is on a mission to better connect humanity to space and the universe beyond our planet. With decades of experience scaling world-class technology organizations like Google, CEO Eric Schmidt is guiding Relativity into its next phase: advancing Terran R toward launch and building the foundation for long-term impact.

The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space.

About the Role:

Design, develop, and lead the creation of core data components of our factory and launch software platform, including:

• Data technology abstraction and API development.
• Analytics and reporting architectures.
• Data modeling, management, and development.
• Cloud and on-prem application / services / API development.

In this role, you will be responsible for driving the development of a distributed data platform spanning launch and factory components. You'll design and create technologies enabling data ingress / egress for the launch vehicle, as well as core factory tools such as our Stargate printers. You'll make key tradeoff decisions, mentor junior engineers, build new systems and tooling, and recommend / drive high impact across existing systems.

About You:

• Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 6+ years of experience implementing code level patterns to enable codebases and teams to scale, with 1+ years of experience leading data architectures at scale.
• 4+ years of experience leveraging an array of data technologies including one or many of the following: InfluxDB, MongoDB, Redis, PostgreSQL, Cassandra, Kafka, Spark, and more.
• 4+ years of experience with at least one of C++, Go, Python, C#, or Typescript.
• Familiarity with agile methodologies.
• Familiarity with containerization and deployment technologies like Kubernetes and Docker.

Nice to haves but not required:

• Experience with AI technologies, including machine learning and related tools or frameworks.
• Demonstrated ability to create scalable architectures across an array of usage patterns and organizations.
• Demonstrated ability to learn, grow and mentor others to drive best practices and/or accelerate development lifecycles.
• Demonstrated ability to plan organizational roadmaps and hiring strategies.
• Familiarity with other modern languages like Go and Rust.