BT-519 – Software Developer Location: Chantilly, VA (fully on-site, no remote option available)
**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**
Introduction:
The Sponsor's data analytics and collection services provide intelligence products to inform operations, drive collection, solve Sponsor business problems, and support national security needs. The Sponsor specializes in development and maintenance of large-scale innovative solutions to solve the Sponsor's leading challenges in data correlation, aggregation, and graphing. The contractor shall support the advancement of the Sponsor's solution with highly technical software development to meet complex and evolving mission needs.
- Demonstrated experience with Java Development
- Demonstrated experience designing, developing, maintaining, and troubleshooting APIs
- Demonstrated experience with Python
- Demonstrated Big Data experience
Critical Core Competencies:
Design, development, and implementation of software systems/services solutions based on requirements analysis; perform operational feasibility evaluations and recommend improvements; develop and maintain system and solution code, architecture, and security documentation; assist Sponsor with software licensing and purchase efforts.
Required Skills
- Demonstrated experience with designing cloud-native architectures using cloud services such as AWS, Google, IBM, and Oracle
- Demonstrated experience designing and operating big data systems
- Demonstrated experience building and optimizing performance of large scale graph databases (tens of billions of edges) using DynamoDB or new enhanced capabilities
- Demonstrated experience developing and operating graph traversal capabilities using data graphing tool traversal capabilities built upon Apache Gremlin or new enhanced capabilities
- Demonstrated experience developing and operating NoSQL solutions to complex big data applications
- Demonstrated experience in data modeling for performance, partition sharding, record/event aggregation workflows, stream processing, and metrics gathering
- Demonstrated experience designing and operating large-scale serverless geospatial indexes built with GeoMESA
- Demonstrated experience with partition and sort key design and implementation to ensure consistent performance
- Demonstrated experience with aggregation operations to de-duplicate records on continuous data feeds
- Demonstrated subject matter expertise experience with relational databases to noSQL
- Demonstrated experience building and operating high performance data processing pipelines using Lambda, Step Functions and PySpark
- Demonstrated experience building high quality User Interface/User experiences with the React framework and webGL
- Demonstrated experience designing and operating large scale graph databases using Apache Cassandra
- Demonstrated experience performing in-depth technical analysis of large-scale graph databases to develop implementation strategies for search optimizations
- Demonstrated experience developing technical capabilities for processing, persistence and search of datasets that are collected or maintained using standards common in the Sponsor's community
- Demonstrated experience facilitating engineering discussions across teams representing multiple stakeholders to develop and execute implementation strategies that meet mission needs
- Demonstrated experience developing Machine Learning Operations (MLOps) pipelines for large scale application
- Demonstrated experience maintaining configuration of software using configuration management resources such as GitHub
- Demonstrated experience designing, building and operating big data systems, such as persistence, partitioning, indexing, at scale of trillions of records/events
- Demonstrated experience with Niagara Files (NiFi) applications or new enhanced capabilities
- Demonstrated experience developing and operating Kubernetes infrastructure
- Demonstrated experience supporting engineering efforts that will contribute to delivery of capabilities such as datasets and functionality such as communications, geospatial workflows
- Demonstrated experience implementing DevSecOps and agile development in production environments
- Demonstrated experience with agile software development and testing
- Demonstrated experience with federal security, regulatory and compliance requirements and security accreditation package development
- Demonstrated experience with data security and governance using centralized security controls like LDAP, encrypting the data, and auditing access to the data
- Demonstrated experience with specialized technologies that are optimized for the particular use of the data, such as relational databases, a NoSQL database (Cassandra), or object storage
- Demonstrated experience with Apache, TINKERPOP, GREMLIN and/or JANUSGRAPH to design, develop, implement and maintain system
- Demonstrated knowledge of Graph Database to design, develop, implement and maintain system
- Demonstrated experience with C or C++ to write interfaces
- Demonstrated experience using centralized security controls like LDAP, encrypting data, and auditing access to data
- Demonstrated experience with: Databases: Postgres, MariaDB, ELK, Minio, AWS S3, Neo4j, MongoDB, noSQL
- Demonstrated experience with: Languages: Python (pypi libraries)
- Demonstrated experience with: Operating Systems: Centos7, RockyLinux8
- Demonstrated experience with: Orchestration: Kubernetes, Docker, Docker-Compose, Docker-Swarm
- Demonstrated experience with: Development Tools: vscode, gitlab, jupyterhub/notebooks, MATLAB
- Demonstrated experience with: Environments: large collaboration and development environments
- Demonstrated experience with:
- Data types: Unstructured, structured, or semi-structured data, including: CSV, JSON, JSONL, AVRO, Protocol Buffers, Parquet, etc
Desired Skills
- Demonstrated experience with designing cloud-native architectures using Sponsors cloud services
- Demonstrated experience designing and operating big data systems within the Sponsors policy and regulatory environment
- Demonstrated experience developing and operating graph traversal capabilities using the Sponsors data graphing tool traversal capabilities built upon Apache Gremlin
- Demonstrated experience building and operating high performance data processing pipelines using Lambda, Step Functions and PySpark on the Sponsors infrastructure with EMR
- Demonstrated experience working with the Sponsor's enterprise services used for Data Management, including the enterprise catalog service (and associated APIs), and Policy Decision Points (PDPs).
- Demonstrated experience developing Machine Learning Operations (MLOps) pipelines for large scale application in the Sponsor's environment
- Demonstrated experience and understanding of IT Service Management and common SLA measurements
- Demonstrated experience presenting solutions, requirements, and presentations to diverse audiences.
- Demonstrated experience working with container orchestration technologies such as AWS ECS, AWS Fargate, and Kubernetes or other enhanced capabilities available
- Demonstrated experience in 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).
- Demonstrated experience with Micro-services such as building decoupled systems, utilizing RESTful endpoints and lightweight systems
- Demonstrated experience in total systems perspectives, including a technical understanding of systems and applications relationships, dependencies, and requirements of hardware and software components
- Demonstrated experience consulting with customers to determine present and future user needs
- Demonstrated experience providing frequent contact with customers, traceability within program documents, and the overall computing environment and architecture
- DESIRED Certifications:
- AWS Certified Solutions Architect
- AWS Machine Learning Certification(s)
- Agile certification
- Azure
- Security+
- GSEC
- CCNA
Software/Tools/Processes List
- Cloud services such as AWS, Google, IMB, Oracle
- Dynamo DB
- Apache Gremlin
- NoSQL
- SQL
- Data modeling
- GeoMESA
- Lambda Step Functions
- PySpark
- React framework
- webGL
- Apache Cassandra
- MLOps
- Configuration management tools such as GitHub
- NiFi
- Kubernetes
- DevSecOps
- Agile development
- Sponsor’s security and accreditation
- LDAP
- Data encryption
- Auditing access for data
- TINKERPOP
- JANUSGRAPH
- C/C++
- Postgres
- MariaDB
- ELK
- Minio
- AWS S3
- Neo4j
- MongoDB
- Python (pypi libraries)
- Centos7
- RockyLinux8
- Docker
- Docker Compose
- Docker Swarm
- Vscode
- Gitlab
- Jupyterhub/notebooks
- MATLAB
- EMR
- AWS ECS
- AWS Fargate
- REST APIs
