Infrastructure Engineer IV

Job summary

The Senior Infrastructure Engineer is responsible for evolving the cloud infrastructure and DevOps for the Vision Navigation System (VNS) and Guidance, Navigation & Control (GNC) teams. This role involves designing CI/CD systems, managing cloud infrastructure, and optimizing build and release workflows across multiple teams, utilizing technologies such as AWS, GCP, Azure, and Terraform.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field; equivalent practical experience may be considered
• 10+ years of professional software engineering experience, with significant experience in DevOps, build/release engineering, and/or cloud infrastructure roles
• Experience managing builds and deployment environments with high test coverage and build reproducibility
• Strong experience designing and operating CI/CD pipelines, build systems, and release management for multi-team codebases
• Experience designing, deploying, and reviewing cloud infrastructure (e.g., AWS, GCP, or Azure), including infrastructure-as-code (e.g. Terraform)
• Experience developing and debugging in Linux environments; strong scripting and automation skills in Python or similar languages
• Experience dealing with large versioned data assets and the pipelines that process them
• Strong understanding of software architecture, automated testing, and maintainable software design
• Demonstrated ability to resolve complex system-level issues and communicate effectively across software, algorithm, hardware, and systems engineering teams

Responsibilities

• Lead the design, development, and operation of CI/CD, build tooling, simulation environments, and cloud infrastructure for the VNS and GNC software stacks
• Build unified packaging and release management for all of ASE, spanning firmware, spacecraft software, ground systems, and cloud services
• Build and maintain test and release workflows for multiple teams, ensuring high test coverage and build reproducibility across environments
• Own and improve build tooling; optimize CI and build times to improve engineer productivity across the organization
• Manage shared testing pipelines to improve PR merge speed and overall development velocity
• Support data processing pipelines and visualization tooling, both on the ground and in the cloud
• Design and manage storage, versioning, and distribution strategies for large versioned data assets
• Support infrastructure for ML training workflows, including compute provisioning, dataset management, and experiment reproducibility
• Design, review, and maintain cloud infrastructure, managing reliability, security, and cost
• Establish developer workflows, automation, and documentation that improve reliability and engineering velocity across ASE
• Partner with perception, GNC, avionics, flight software, systems engineering, and mission operations teams to ensure cohesive system behavior
• Diagnose complex build, deployment, and infrastructure issues; contribute to architectural decisions, conduct technical reviews, and mentor other engineers

Skills

Relocation