DevOps Engineer

Apply for the Dev Ops Engineer role at General Atomics Aeronautical Systems
. Job Summary

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high‑resolution surveillance systems. Under general supervision with limited review, this position independently determines approaches and solutions for the design, development, and/or modification of specific programs or projects for enterprise‑wide end‑user, system‑level, and data‑management software applications.

The role involves planning application development and deployment, meeting software compliance standards, evaluating integration with the overall computing environment, and documenting, testing, maintaining, and updating software. Communication with domain experts, outside customers, users, and management throughout the software development lifecycle is essential.

• Design data pipelines and engineering infrastructure to support enterprise‑level operationalization.
• Work as part of an interdisciplinary team to product ionize models for air‑to‑air and air‑to‑ground combat operations.
• Develop and deploy scalable tools and services for rapid training and inference at the edge.
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of systems.
• Apply robust software engineering best practices to the ecosystem, including CI/CD, automation, etc.
• Support stable and repeatable model development, with an emphasis on traceability, version control, adversarial robustness, and data security.
• Help develop and deploy proof‑of‑concept machine‑learning systems to the warfighter.
• Communicate with stakeholders to develop roadmaps and implementation schedules.

• Typically requires a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field and nine years of related experience.
• Must understand machine‑learning development concepts, principles, and theory and demonstrate complete understanding of model development and analysis concepts.
• Experience building end‑to‑end systems focused on product ionizing AI/ML technology in a distributed computing environment.
• Must possess the ability to understand new concepts quickly and apply them accurately throughout an evolving environment.
• Ability to organize, schedule, and coordinate work phases and determine the appropriate approach at the task level or, with assistance, at the project level, and to provide solutions to a range of complex problems.
• Must have strong communication, computer, documentation, presentation, and interpersonal skills, ability to work independently and as part of a team; and lead a team of less experienced professional employees on semi‑routine tasks.
• Experience using, configuring, and maintaining the following technologies:
  • Source‑code and data control repositories (GIT, SVN, MLFlow, DVC, S3, etc.)
  • Continuous Integration Environment (Jenkins, Gitlab, etc.)
  • Linux and associated technologies (Red Hat based)
  • Provisioning tools (Puppet, Ansible, Terraform, etc.)
  • Package managers and associated tools (RPMs, Yum, Pypi, pip, Artifactory, etc.)
  • Hypervisors (VMWare, Virtual Box, QEMU, etc.), containers (Docker, Podman, etc.), and related tools (Vagrant, Packer, Kubernetes, etc.)
  • Web servers and associated tools (Apache, NGINX, etc.)
  • Virtual Desktop Infrastructure (VDI), Desktop as a Service (DAAS), "golden image" creation, and related virtualization technologies
  • Cloud computing infrastructure (AWS, Azure, etc.)
  • CI/CD pipelines and orchestration of distributed AI/ML compute
• Software process automation with popular scripting languages (Python, Bash, Power Shell, Ansible).
• Experience developing code in at least one high‑level programming language (C#, C++, Python, and/or Java).
• Experience developing machine‑learning models using scikit‑learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientists and experience with automation of these processes.
• Able to work extended hours as required.
• Ability to obtain and maintain DoD security clearance is required.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Type: Full‑Time Salary
Salary range: $98,100 – $171,398

Location:

Carlsbad, CA