Senior DevSecOps Engineer

General Atomics Aeronautical Systems; Poway (CA); On-site; USD 98,000 - 171,000; Full time

Job summary

General Atomics Aeronautical Systems, Inc. (GA-ASI) in Poway, CA seeks a software engineer to design, develop and modify enterprise data management software applications and AI/ML pipelines. You will plan deployment, ensure compliance, and collaborate with domain experts throughout the software lifecycle.

Responsibilities include building data pipelines, productionizing ML models, and implementing CI/CD. You will communicate roadmaps to stakeholders and help advance scalable, secure ML-enabled

Qualifications

• Bachelor’s, master’s or PhD in computer science, information systems or related discipline with progressive software development experience.
• Understanding of software development concepts and theory; strong programming/analysis skills.
• Understanding ML development concepts and model development/analysis.
• Experience building end-to-end systems focused on productionizing AI/ML in distributed computing.
• Ability to adapt quickly in evolving environments.
• Strong communication, documentation and teamwork skills; capable of leading a team.
• Experience with data science tooling and automation of processes.

Responsibilities

• Design data pipelines and AI/ML engineering infrastructure for enterprise ML systems.
• Work in an interdisciplinary team to productionize AI/ML models for operational use.
• Develop and deploy scalable tools/services for rapid ML training and inference.
• Evaluate new technologies to improve ML system performance and reliability.
• Apply robust software engineering practices to ML ecosystems (CI/CD, automation).
• Support model development with traceability and data security considerations.
• Communicate with stakeholders to develop roadmaps and schedules.

Skills

Software development

Machine learning

Distributed systems

Communication skills

Leadership

Problem solving

Education

Bachelor/Master/PhD in CS

Tools

Git/SVN

Jenkins/Gitlab

Linux RedHat

Puppet/Ansible/Terraform

RPM/Yum/PyPI

Docker/Kubernetes

Apache/Nginx

AWS/Azure

Job description

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/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. Involved in planning of application development and deployment as well as responsible for meeting software compliance standards on specific programs or projects. Evaluates integration of software applications with the overall computing environment; responsible for documentation, testing, maintenance, and software updates. Communicates with domain experts, outside customers, users, and management throughout the software development lifecycle.

DUTIES & RESPONSIBILITES

• Design data pipelines and AI/ML engineering infrastructure to support enterprise level operationalization of machine learning systems
• Work as part of an interdisciplinary team to productionize AI/ML models for air-to-air and air-to-ground combat operations
• Develop and deploy scalable tools and services for rapid AI/ML training and inference at the edge
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems
• Apply robust software engineering best practices to machine learning 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

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

Job Qualifications

• Typically requires a bachelors degree, masters degree or PhD in computer science, information systems or a related discipline and progressive software development experience as follows; four or more years of experience with a bachelors degree or two or more years of experience with a masters degree. May substitute equivalent experience in lieu of education.
• Must understand software development concepts, principles, and theory and demonstrate complete understanding and application of programming and analysis concepts.
• Must understand machine learning development concepts, principles, and theory and demonstrate complete understanding and model development and analysis concepts.
• Experience building end-to-end systems focused on productionizing 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/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 (RedHat based)
  • Provisioning tools (Puppet, Ansible, Terraform, etc.)
  • Package managers and associated tools (RPMs, Yum, Pypi, pip, Artifactory, etc.)
  • Hypervisors (VMWare, VirtualBox, QEMU, etc), containers (Docker, Podman, etc), and related tools (Vagrant, Packer, Kubernetes, etc.)
  • Webservers 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, Powershell)
• 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.

Job Type: Full-Time Salary

Salary range: 98,100 - 171,398