Software Developer/Systems Software

Department: Data Analysis and Technology Services

Employment Type: Full Time

Location: Chantilly, VA

Compensation: $130,000 - $260,000 / year

Description

Key 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.

Highly Desired Qualifications

• 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.