Software Engineer II

Quevera LLC•McLean, VA

About The Position

Quevera is seeking a Software Engineer II to join our team. At Quevera, we don’t just offer jobs—we provide opportunities to be part of a dynamic, forward-thinking community that fosters innovation, collaboration, and personal growth. You’ll work with industry experts, take on exciting challenges, and have the creative freedom to build cutting-edge solutions, all while advancing your career in a space that truly values your skills and ideas.

Requirements

Current TS/SCI Polygraph clearance.
Demonstrated experience in the development, customization, and use of developing applications for analysis.
Demonstrated experience with cloud microservices and tools, such as S3, RDSes, and EC2 instances.
Demonstrated experience managing Structured Query Language (SQL) databases within cloud based relational databases; specifically, populating SQL database (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 Anaconda, Bash, and Terraform 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 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.

Nice To Haves

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.

Responsibilities

Development, customization, and use of developing applications for analysis.
Working with cloud microservices and tools, such as S3, RDSes, and EC2 instances.
Managing Structured Query Language (SQL) databases within cloud based relational databases; specifically, populating SQL database (MySQL and Postgres) with new schemas, mapping between different SQL databases, and streamlining data discovery.
Implementing and automating Nifi workflows for Extract-Transform-Load processes, as well as custom Python or Java code when appropriate.
Creating operating system level scripts to perform ETL operations on SQL databases.
Using version control systems, specifically Git.
Using JavaScript, CSS, HTML5, and Flask.
Using containerization such as Docker or developing and deploying containerized applications or databases.
Applying user-centered design principles and practices, web standards, typography and color, and web usability standards.
Utilizing Anaconda, Bash, and Terraform for development purposes.
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).
Performing automated testing and deployment of infrastructure or configurations.
Administering, provisioning, and using cloud technologies (i.e. AWS) particularly with application of data science approaches in the cloud.
Optimizing connectivity between cloud-based services and on prem high performance cloud compute servers.
Creating and maintaining systems and architectural documentation.
Provisioning and management of cloud compute resources and services, such as AWS, Azure, or similar.
Writing code in SQL, PL/SQL, Python, and Java.
Organizing and structuring solutions to complex problems.
Coordinating and collaborating effectively.
Supporting data scientists to create—through fine tuning, transfer learning—models for classification, prediction, generative AI, or other similar tasks.
Optimizing the deployment of AI models in the cloud.
Connecting cloud servers to Tableau to output visualizations.
Balancing competing activities and priorities.
Creating parallel processing solutions using distributed computation.