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General Atomics Aeronautical Systems · 2 days ago

Senior DevSecOps Engineer

Poway, CA

Full-time

Onsite

Mid, Senior Level

$98K/yr - $171K/yr

4+ years exp

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars. They are seeking a Senior DevSecOps Engineer to independently determine approaches for the design, development, and modification of software applications, while ensuring compliance with software standards and collaborating with various stakeholders throughout the software development lifecycle.

EnergyEnergy EfficiencyManufacturingWireless

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

Machine Learning DevelopmentAI/ML ProductionizationContinuous IntegrationCloud ComputingSoftware DevelopmentLinux TechnologiesScripting LanguagesVersion ControlCommunication SkillsTeam LeadershipProblem Solving

Required

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