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Software Developer/Systems Software
Ardent Principles, IncUnited Statesfull_timeVerifiedPosted 17 Aug 2026
💰 $260,000/yr($130,000/yr – $260,000/yr)
About the role
Software Developer/Systems Software
Department: Data Analysis and Technology Services
Employment Type: Full Time
Location: Chantilly, VA
Compensation: $130,000 - $260,000 / year
Description
REQUIRED: Active TS/SCI with Full Scope Polygraph
LOCATION: Full time, onsite in Chantilly, VA
LOCATION: Full time, onsite in Chantilly, VA
Join our team to support ETL, Data Engineering, and Full-Stack Software Development. Bring your cloud, data, and systems expertise to a role focused on building resilient architectures, micro‑services, and large‑scale pipelines. Ideal for engineers experienced in AWS, EMR, Kubernetes, ITSM, and communicating complex solutions clearly.
Who We Are:
We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Passionate Integrity, Driven by Excellence
At Ardent Principles, passionate integrity and a relentless pursuit of excellence define who we are. We offer a competitive salary range and a comprehensive benefits package designed to support your long‑term success. Our mission is to connect fulfilled employees with satisfied clients, ensuring your well‑being and professional satisfaction directly contribute to exceptional outcomes for those we serve.
Join us as we continue building the future of secure, high‑impact solutions.
Key Responsibilities
In this challenging yet rewarding role as a Software Developer (Systems Software), you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:
- Designing and maintaining enterprise-grade ETL/ELT pipelines, both batch and real-time.
- Front-end development and implementation skills, using React, Next.js, or similar.
- Back-end development using Python, Java, Scala, and microservices architecture.
- API design.
- Containerization, using Docker.
- CI/CD pipelines.
- Infrastructure-as-code patterns.
- Probabilistic models, risk scoring, Bayesian inference, Monte Carlo simulation, and probabilistic graphical models.
- Applying statistical modeling tools.
- Designing loud-native architectures using cloud services such as AWS, Google, IBM, and Oracle
- Designing and operating big data systems
- Building and optimizing performance of large scale graph databases (tens of billions of edges) using DynamoDB or new enhanced capabilities
- Developing and operating graph traversal capabilities using data raphing tool traversal capabilities built upon Apache Gremlin or new enhanced capabilities
- Developing and operating NoSQL solutions to complex big data
applications - Data modeling for Performance, partition sharding, record/event aggregation workflows, stream processing, and metrics gathering
- Designing and operating large-scale serverless geospatial indexes
built with GeoMESA - Partition and sort key design and implementation to ensure consistent performance
- Aggregation operations to de-duplicate records on continuous data feeds
- Subject matter expertise experience with relational databases to noSQL
- Building and operating high performance data processing pipelines using Lambda, Step Functions and PySpark
- Building high quality User Interface/User experiences with the React
framework and webGL - Designing and operating large scale graph databases using Apache Cassandra
- Performing in-depth technical analysis of large-scale graph databases to
develop implementation strategies for search optimizations - Developing technical capabilities for processing, persistence and search
of datasets that are collected or maintained using standards common in the Sponsor's community - Facilitating engineering discussions across teams representing multiple stakeholders to develop and execute implementation strategies that meet mission needs
- Developing Machine Learning Operations (MLOps) pipelines for large scale application
- Maintaining configuration of software using configuration management resources such as GitHub
- Designing, building and operating big data systems, such as persistence, partitioning, indexing, at scale of trillions of records/events
- Working with Niagara Files (NiFi) applications or new enhanced capabilities
- Developing and operating Kubernetes infrastructure
- Supporting engineering efforts that will contribute to delivery of capabilities such as datasets and functionality such as communications, geospatial workflows
- Implementing DevSe
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