Software Engineer, Cloud Engineer - Software

BT-267 – Software Engineer

Skill Level: Subject Matter Expert

Location:

McLean, VA (fully on-site, no remote option)

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

• Demonstrated experience in the development, customization, and use of applications for analysis.
• Demonstrated experience with cloud microservices and tools, such as S3, RDSes, and EC2 instances.
• Demonstrated experience managing SQL databases within cloud‑based relational databases; specifically, populating SQL databases (MySQL and Postgres) with new schemas, mapping between different SQL databases, and streamlining data discovery.
• Demonstrated experience implementing and automating NiFi workflows for Extract‑Transform‑Load processes, as well as custom Python or Java code when appropriate.
• Demonstrated experience creating operating‑system level scripts to perform ETL operations on SQL databases.
• Demonstrated experience with version control systems, specifically Git.
• Demonstrated experience with JavaScript, CSS, HTML5, and Flask.
• Demonstrated experience using containerization such as Docker or developing and deploying containerized applications or databases.
• Demonstrated experience with user‑centered design principles and practices, web standards, typography and color, and web usability standards.
• Demonstrated experience with Anaconda, Bash, and Terraform for development purposes.
• 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 optimizing connectivity between cloud‑based services and on‑prem high‑performance cloud compute servers.
• Demonstrated experience creating and maintaining systems and architectural documentation.
• Demonstrated experience with provisioning and management of cloud compute resources and services, such as AWS, Azure, or similar.
• Demonstrated professional proficiency with the following coding languages: SQL, PL/SQL, Python, Java.

• Demonstrated experience in Computer Science, Computer Engineering, Systems Engineering, or closely related discipline.
• Demonstrated experience organizing and structuring solutions to complex problems.
• Demonstrated strong coordination and collaboration skills.
• Demonstrated experience working in a sponsor analytic mission area, specifically involving research on analyst user needs.
• 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 connecting cloud servers to Tableau to output visualizations.
• Demonstrated experience with the sponsor’s data management lifecycle.
• Demonstrated experience balancing competing activities and priorities.
• Demonstrated experience with distributed computation, including experience creating parallel processing solutions.