DevOps Software Developer

Onsite$87,070 - $132,963/yrPosted todayLinkedIn

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About this role

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.

DUTIES & RESPONSIBILITIES:

Determine user requirements and specifications and plan for software development within the broader organizational scope.
Design data pipelines and engineering infrastructure to support enterprise level operationalization
Work as part of an interdisciplinary team to productionize 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 systems
Apply robust software engineering best practices to 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
Performs other duties as assigned or required

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

Job Category

Engineering

Travel Percentage Required

0% - 25%

Full-Time/Part-Time

Full-Time Hourly

State

California

Clearance Level

Secret

Pay Range Low

87,070

City

Poway

Clearance Required?

Desired

Pay Range High

132,963

Recruitment Posting Title

DevOps Software Developer

Job Qualifications

Typically requires a bachelor’s degree in computer science, information systems or related discipline and two or more years progressive software development experience with a bachelor’s degree. May substitute equivalent experience in lieu of education.
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, 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
Ability to obtain and maintain a DoD Security Clearance is required.

US Citizenship Required?

Yes

Experience Level

Entry-Level (0-2 years)

Relocation Assistance Provided?

Workstyle

Onsite