About the position
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 onsite in Herndon, VA. You must have SME expertise with relational databases to noSQL. 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!
Responsibilities
- 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
- Using Partition and sort key design and implementation to ensure consistent performance
- Working in 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
- 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
- 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
- Working with 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
- Working with 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 system
- Graph Database to design, develop, implement and maintain system
- Using C or C++ to write interfaces
- Using centralized security controls like LDAP, encrypting data, and auditing access to data
Requirements
- Expertise with relational databases to noSQL
- Experience designing cloud-native architectures using cloud services
- Experience with big data systems
- Experience with large-scale graph databases
- Experience with NoSQL solutions
- Experience with data modeling and performance optimization
- Experience with serverless geospatial indexes
- Experience with data processing pipelines using AWS services
- Experience with User Interface/User experience development using React
- Experience with Kubernetes infrastructure
- Experience with DevSecOps and agile development
Nice-to-haves
- Developing and operating graph traversal capabilities using Apache Gremlin
- Building and operating high performance data processing pipelines using AWS EMR
- Understanding of IT Service Management and common SLA measurements
- Presenting solutions to diverse audiences
- Working with container orchestration technologies such as AWS ECS and AWS Fargate
- Managing large operational cloud environments
- Micro-services architecture experience
- Consulting with customers to determine user needs
Benefits
- Highly Competitive Salary
- Generous Paid Time Off
- Dedicated Training Budget
- 100% Employer-Covered Family Vision, Dental, and Health Insurance
- 100% Employer-Covered Life and Disability Insurance
- 401(k) Plan with a 6% Employer Match
- 11 Paid Government Holidays
- Spot Bonuses for Exceptional Performance
