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G2006 - Software Engineer - Mclean VA
Job in
McLean, Fairfax County, Virginia, USA
Listed on 2026-07-08
Listing for:
Janus Soft Inc.
Full Time
position Listed on 2026-07-08
Job specializations:
-
Software Development
Data Engineering, AWS
Job Description & How to Apply Below
In this role, you will be the bridge between complex data science and operational reality. You will design and deploy cloud-native microservices, automate sophisticated ETL pipelines using NiFi and Python, and optimize the connectivity between high-performance on-prem compute clusters and the cloud. Your work will directly impact the speed and accuracy of national security insights, providing you the platform to use cutting‑edge tech—from Generative AI model fine‑tuning to Terraform‑driven infrastructure—in an environment where precision is the only standard.
MandatorySkills
- Clearance:
Active TS/SCI with Full Scope Polygraph (Required). - Cloud Architecture:
Extensive experience with AWS/Azure services, including EC2, S3, RDS, and optimizing connectivity between cloud and on‑prem high‑performance compute environments. - Data Engineering:
Expert‑level management of SQL databases (PostgreSQL/MySQL), including schema design, mapping, and data discovery. - Automation & ETL:
Proven success automating NiFi workflows and writing custom OS‑level scripts (Bash/Anaconda) for complex ETL operations. - Dev Ops & Infrastructure:
Mastery of Docker containerization, Terraform for IaC, and building robust CI/CD pipelines (Git, Jenkins, Jira, Confluence). - Design & Standards:
Application of user‑centered design principles, web usability standards, and comprehensive architectural documentation.
- Advanced Analytics:
Experience supporting data scientists with fine‑tuning/transfer learning for classification, prediction, and Generative AI models. - Visualization:
Proficiency in connecting cloud‑based data sources to Tableau for executive‑level visualizations. - Mission Expertise:
Prior experience within a Sponsor analytic mission area and familiarity with the internal data management lifecycle. - High‑Performance Computing:
Experience with distributed computation and creating parallel processing solutions. - Academic Background:
Degree in Computer Science, Systems Engineering, or a related technical discipline.
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