Senior Platform Engineer

Inversion is an aerospace and defense company pioneering advanced reentry technology to enable next-generation capabilities from space. By combining high-performance materials, precision aerodynamics, and mission-driven autonomy, Inversion is transforming reentry into an operational capability for an entirely new class of missions.

The company’s highly maneuverable reentry spacecraft, Arc, is designed for rapid global cargo delivery, hypersonic testing, and other national security missions that require precise, controlled flight through the atmosphere. Arc creates an entirely new transportation domain, unlocking unprecedented speed and global reach.

Headquartered in Los Angeles, Inversion designs, manufactures, and integrates its spacecraft under one roof, enabling the company to move rapidly from concept to flight. The company is backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, with customers across the U.S. government and commercial space industry.

As a Senior Platform Engineer at Inversion, you will work as part of the simulation team to develop and manage the infrastructure that supports the simulation and test environments for our flight systems. The simulation team is responsible for ensuring that flight software and flight hardware can be continuously integrated and tested under realistic flight conditions. You will play a key role in the design and implementation of infrastructure-agnostic platforms and self-service tools that will enable fast, repeatable development and deployment workflows across the engineering stack. Your work will empower Inversion’s engineering teams to iterate rapidly throughout the development life cycle and will strengthen Inversion’s ability to put our products into the hands of our customers with unprecedented speed and agility.

• Provision, deploy, and maintain infrastructure to support simulation workflows, including high-performance computing (HPC), software-in-the-loop (SIL) testing, and hardware-in-the-loop (HIL) testing
• Leverage infrastructure as a service (IaaS) to enable scalability and resource optimization
• Leverage automation and infrastructure as code (IaC) to manage infrastructure efficiently
• Leverage containerization and orchestration to enable modern, scalable, and resilient application deployments
• Work closely with developers/engineers to design, implement, and manage continuous integration/continuous delivery (CI/CD) pipelines to improve iteration speed and flight system reliability
• Configure network hardware, manage cloud resources, and ensure network security and performance
• Contribute to the design and development of a simulation system capable of automatically provisioning and deploying resources to support simulation workflows

Candidates must meet all of the following qualifications to be considered for this role:

• 5+ years of professional experience in platform, DevOps, infrastructure, or software engineering
• Expertise in DevOps best practices
• Proficiency in one or more scripting languages (Python, Lua, Bash, PowerShell, etc.)
• Experience with Linux-based systems
• Experience with one or more CI/CD platforms (GitLab CI, GitHub Actions, Jenkins, etc.)
• Experience with containerization (Docker/Podman) and orchestration (Kubernetes)
• Must have the ability to obtain and maintain a U.S. government Secret/Top Secret security clearance.

The ideal candidate will also meet one or more of the following qualifications:

• Expertise in IaaS (AWS and GCP)
• Expertise in IaC (Terraform)
• Expertise in database administration and network administration
• Familiarity with system observability tools (Prometheus, Grafana, etc.)

• Experience with embedded systems
• Experience with SIL, HIL, or robotics testbeds
• Familiarity with Linux-based real-time systems
• Familiarity with cloud-based/distributed HPC

Our office headquarters is located in Playa Vista, CA. This position requires in office presence.

_{The California annual base salary for this role is currently $139,000 - $201,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.}