Software Engineer

Application Deadline: 5 May 2025

Department: Data Analysis and Technology Services

Employment Type: Full Time

Location: Herndon, VA

Description

Are you ready to innovate and solve complex problems in the realm of software engineering? Ardent Principles is searching for a full-time Software Engineer to join our dynamic team.

If you're passionate about creating robust software solutions, thrive on collaboration, and are ready to make a significant impact, this is the opportunity you've been waiting for. With a competitive salary and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!

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
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. 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.

Key Responsibilities

In this challenging yet rewarding role, 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 cloud-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 graphing 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 applications
• 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
• 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
• Agile software development and testing
• Federal security, regulatory and compliance requirements and security accreditation package development
• Data security and governance using centralized security controls such as 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
• Apache, TINKERPOP, GREMLIN and/or JANUSGRAPH to design, develop, implement and maintain systems
• Knowledge of Graph Database to design, develop, implement and main