Staff DevOps Engineer
- Determine user requirements, specifications, and plan for software development within the broader organizational scope. Software development includes end-user, system level, and data management applications,
- Implementation of design including coding, testing, and documentation.
- Deployment of applications across the enterprise including cross- platform compliance and insuring availability of necessary resources.
- Code maintenance including debugging and updating to keep pace with the evolving environment.
- Communicate with the software developer group, with users, and with management as well as with the wider community through the publishing and presentation of technical papers.
- Design data pipelines and infrastructure for the Autonomy Core Software to support enterprise level operationalization.
- Work as part of an interdisciplinary team to productionize Autonomy Core Software for air-to-air and air-to-ground combat operations.
- Develop and deploy scalable tools and services for the Autonomy Core Software.
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of the Autonomy Core Software.
- Apply robust software engineering best practices to Autonomy Core Software, including CI/CD, automation, etc.
- Support stable and repeatable software development, with an emphasis on traceability, version control, adversarial robustness, and data security.
- Communicate with stakeholders to develop roadmaps and implementation schedules.
- Typically requires a bachelors degree, masters degree or PhD in computer science, information systems or related discipline and progressive software development experience as follows; six or more years of experience with a bachelors degree, four or more years of experience with a masters degree, or two or more years with a PhD. 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.
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