Software Engineer

Ardent Principles, Inc.

11h•Onsite

About The Position

We’re looking for a versatile Software Engineer who thrives at the intersection of cloud engineering, data workflows, and application development. In this role, you’ll design, build, and customize analytical applications; develop and automate ETL pipelines; and work hands‑on with cloud microservices across AWS and other modern platforms. Ardent Principles offers advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. We offer a competitive salary range and a comprehensive, industry‑leading benefits package designed to support long‑term stability and employee well‑being. We provide more than a position—we offer a workplace committed to excellence, integrity, and mission‑focused impact. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients. Join us as we continue building the future of secure, high‑impact solutions.

Requirements

Active TS/SCI with Full Scope Polygraph
Full-time, onsite in McLean, VA
Subject Matter Expert level
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, HTMLS, and Flask.
Using containerization such as Docker or developing and deploying containerized applications or databases.
Working with User-centered design principles and practices, web standards, typography and color, and web usability standards.
Using Anaconda, Bash, and Terraform for development purposes.
Building and maintaining Cl/CD pipelines with software such as source control (Git/GitHub), continuous build/delivery (Jenkins), issue management (Jira), and documentation/collaboration (Confluence).
Automated testing and deployment of infrastructure or configurations.
Administration, provisioning, and use of 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.
Professional proficiency with the following coding languages: SQL, PL/SQL, Python, Java.

Nice To Haves

Organizing and structuring solutions to complex problems.
Strong coordination and collaboration skills.
Working in analytic mission area, specifically involving research on analyst user needs.
Supporting data scientists to create, through fine-tuning, transfer learning-models for classification, prediction, generative Al, or other similar tasks.
Optimizing the deployment of Al models in the cloud.
Connecting cloud servers to Tableau to output visualizations.
Balancing competing activities and priorities
Working with distributed computation, including experience creating parallel processing solutions.
Computer Science, Computer Engineering, Systems Engineering, or closely related discipline.

Responsibilities

Development, customization, and use of developing applications for analysis.
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, HTMLS, and Flask.
Using containerization such as Docker or developing and deploying containerized applications or databases.
Working with User-centered design principles and practices, web standards, typography and color, and web usability standards.
Using Anaconda, Bash, and Terraform for development purposes.
Building and maintaining Cl/CD pipelines with software such as source control (Git/GitHub), continuous build/delivery (Jenkins), issue management (Jira), and documentation/collaboration (Confluence).
Automated testing and deployment of infrastructure or configurations.
Administration, provisioning, and use of 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.
Professional proficiency with the following coding languages: SQL, PL/SQL, Python, Java.