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 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.
Highly Desired Qualifications
Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:
- 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
- Certifications:
- AWS Certified Solutions Architect
- AWS Machine Learning Certification(s)
- Agile certification
- Azure
- Security+
- GSEC
- CCNA
What We Offer You
- Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
- Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
- Dedicated Training Budget: Supporting continuous learning and professional development.
- 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
- 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
- 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
- 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
- Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.
SCHEDULE:
This is a full-time position with consultants expected to be available and working onsite in Chantilly, VA during core hours.
Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!
