Cloud Developer

BT-194 – Cloud Developer

Skill Level: Subject Matter Expert

Location:

McLean (fully on-site, no remote option)

MUST HAVE A POLY CLEARANCE TO APPLY. Those without a Poly clearance will not be considered.

• 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 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 the organization's 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 the organization's 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 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.

• Demonstrated experience with Python, Bash, and Terraform.
• Demonstrated experience building and maintaining CI/CD pipelines with software such as source control (Git/Git Hub), 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 Dev Sec Ops  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.

• Demonstrated experience Anaconda for development purposes.
• 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 servers to Tableau output visualizations.