Software Developer/Systems Software

Ardent Principles, Inc.•Chantilly, VA

4d•$130,000 - $260,000•Onsite

About The Position

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. We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. 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.

Requirements

Active TS/SCI with Full Scope Polygraph
AWS, EMR, Kubernetes, ITSM experience
Cloud, data, and systems expertise
Experience communicating complex solutions clearly

Nice To Haves

VRO, Protocol Buffers, Parquet, etc.
Designing cloud-native architectures using Sponsors cloud services
Designing and operating big data systems within the Sponsors policy and regulatory environment
Developing and operating graph traversal capabilities using the Sponsors data graphing tool traversal capabilities built upon Apache Gremlin
Building and operating high performance data processing pipelines using Lambda, Step Functions and PySpark on the Sponsors infrastructure with EMR
Working with the Sponsor's enterprise services used for Data Management, including the enterprise catalog service (and associated APIs), and Policy Decision Points (PDPs).
Developing Machine Learning Operations (MLOps) pipelines for large scale application in the Sponsor's environment
Working with and understanding IT Service Management and common SLA measurements
Presenting solutions, requirements, and presentations to diverse audiences.
Working with container orchestration technologies such as AWS ECS, AWS Fargate, and Kubernetes or other enhanced capabilities available
Managing large operational cloud environments spanning multiple tenants using Multi-Account management, AWS Well Architected Best Practices, and AWS Organization Units/Service Control Policies (OU/SCP).
Micro-services such as building decoupled systems, utilizing RESTful endpoints a lightweight systems
Total systems perspectives, including a technical understanding of systems and applications relationships, dependencies, and requirements of hardware and software components
Consulting with customers to determine present and future user needs
Providing frequent contact with customers, traceability within program documents, and the overall computing environment and architecture
AWS Certified Solutions Architect
AWS Machine Learning Certification(s)
Agile certification
Azure
Security+
GSEC
CCNA

Responsibilities

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 DevSecOps and agile development in production environments
Working with agile software development and testing
Federal security, regulatory and compliance requirements and security accreditation package development
Data security and governance using centralized security controls like LDAP, encrypting the data, and auditing access to the data
Specialized technologies that are optimized for the particular use of the data, such as relational databases, a NoSQL database (Cassandra), or object storage experience with Apache, TINKERPOP, GREMLIN and/or JANUSGRAPH to design, develop, implement and maintain system
Knowledge of Graph Database to design, develop, implement and maintain systems
C or C++ to write interfaces
Using centralized security controls like LDAP, encrypting data, and auditing access to data
Using the following Databases: Postgres, MariaDB, ELK, Minio, AWS S3, Neo4j, MongoDB, noSQL
Languages: Python (pypi libraries)
Using Operating Systems: Centos7, RockyLinux8
Orchestration: Kubernetes, Docker, Docker-Compose, Docker-Swarm
Development Tools: vscode, gitlab, jupyterhub/notebooks, MATLAB
Environments: large collaboration and development environments
Data types: Unstructured, structured, or semi-structured data, including: CSV, JSON, JSONL, AVRO, Protocol Buffers, Parquet, etc.