2243-01 – Cloud Developer
Skill Level: Subject Matter Expert
Location: McLean (fully on-site, no remote option)
- MUST HAVE A POLY CLEARANCE TO APPLY**
Work Requirements
- The Candidate shall work with data scientists and data engineers to architect, operate, and document relevant cloud-on prem hybrid solutions to optimize relevant workflow components for advanced artificial intelligence applications.
- The Candidate shall lead work to optimize cloud-based computing technologies, such as leveraging pyspark, distributed computation, and model training/inference, and integrate solutions into relevant delivery mechanisms or partner systems.
- The Candidate shall build tools and scripts to monitor, troubleshoot, automate, and deploy AI models and outputs as part of a variety of existing business analytic platforms.
- The Candidate shall be directly responsible for solutions related to the analytic work in these key areas: availability, latency, performance, efficiency, documentation, change management, monitoring, security, emergency response, and capacity planning.
- The Candidate shall apply, develop and deploy cloud microservices and integration of cloud resources with on prem high performance computation servers to support efforts.
- The Candidate shall create and use optimal solutions to store and host information.
- The Candidate shall create software pipelines to query databases of interest, combine and merge data sources, and analyze information.
- The Candidate shall use knowledge management, version control, coding standards, and delivery platforms.
- The Candidate shall champion and manage requirements, builds, upgrades, and fixes within multiple (dev, test, production) environments.
- The Candidate shall assist developers and data scientists with code deployments, particularly providing CI/CD configuration.
- The Candidate shall leverage available solutions to create automations that enable timely tipping and queuing.
- The Candidate shall optimize open-source software to accelerate mission solutions and minimize proprietary dependencies at the direction of the organization.
- The Candidate shall use a microservice-based architecture and agile coding for engineering and development activities to support reliable network performance, modern resource management, and security processes.
- The Candidate shall develop analytical software packages, pipelines, and custom virtual environments for deployment in secure environments including standalone workstations, standalone compute clusters, secure cloud environments, and on-premises network infrastructure.
Required Skills
- Demonstrated experience with Python, Bash, and Terraform.
- Demonstrated experience Anaconda for development purposes.
- Demonstrated experience building and maintaining CI/CD pipelines with software such as source control (Git/GitHub), continuous build/delivery (Jenkins), issue management (Jira), and documentation/collaboration (Confluence).
- Demonstrated experience with automated testing and deployment of infrastructure or configurations.
- Demonstrated experience in the administration, provisioning, and use of cloud technologies (i.e. AWS) particularly with application of data science approaches in the cloud.
- Demonstrated experience deploying and tuning Apache NiFi or other ETL workflows.
- Demonstrated experience hosting and managing Structured Query Language (SQL) databases within cloud based relational databases.
- Demonstrated experience optimizing connectivity between cloud-based services and on prem high performance cloud compute servers.
- Demonstrated experience with DevSecOps solutions and tools.
- Demonstrated experience in the cyber security domain to include: governance and risk management, compliance, encryption, software development security, access control, network security or secure architecture, or security operations.
- Demonstrated experience preparing presentations and presenting to senior stakeholders.
Desired Skills
- Demonstrated experience supporting data scientists to create—through fine tuning, transfer learning—models for classification, prediction, generative AI, or other similar tasks.
- Demonstrated experience optimizing the deployment of AI models in the cloud.
- Demonstrated experience with front-end web development frameworks such as Flask.
- Demonstrated experience using Tableau to connect cloud serves to Tableau output visualizations.
