Job Requirements
Herndon, VA Springfield Brm, VA
Top Secret/SCI Polygraph not specified
Career Level not specified
Salary not specified
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Job Description
Software Engineer – Distributed Systems & Apache Kafka
Responsibilities:
• Design, build, and maintain highly scalable Apache Kafka streaming systems to support near real-time data ingestion and processing across distributed environments
• Define and develop comprehensive technical onboarding requirements for new data types, ensuring seamless integration and compatibility with existing streaming infrastructure
• Develop and maintain robust metrics reporting for Kafka services, including end-to-end latency, throughput, and operational status to drive performance visibility and proactive issue resolution
Qualifications/Skills Required:
• TS/SCI with CI Poly required
• Must be willing to work in SCIF daily or as needed
• 5+ years of professional software engineering experience with cloud-first development approach
• 5+ years of hands-on experience with AWS CDK for Infrastructure as Code
• 3+ years building complex, reusable CDK constructs and stacks
• Proficiency in async programming and performance optimization* 3+ years implementing multi-environment deployment strategies using CDK
• 5+ years of advanced Python development experience
• API design and versioning (preferably with Apache Kafka)
• 4+ years of data engineering experience
• ETL/ELT pipeline development using AWS services
• Experience with data lakes, data warehousing, and analytics platforms
o Real-time data processing and streaming architectures
• 3+ years with AWS cloud-native services
o Advanced knowledge of Lambda, API Gateway, EventBridge, SQS, SNS
o Experience with data services: RDS, DynamoDB, Redshift, S3, Athena
o Container orchestration with ECS, Fargate, or EKS
• Strong problem-solving abilities with proven track record of resolving complex technical challenges
Responsibilities:
• Design, build, and maintain highly scalable Apache Kafka streaming systems to support near real-time data ingestion and processing across distributed environments
• Define and develop comprehensive technical onboarding requirements for new data types, ensuring seamless integration and compatibility with existing streaming infrastructure
• Develop and maintain robust metrics reporting for Kafka services, including end-to-end latency, throughput, and operational status to drive performance visibility and proactive issue resolution
Qualifications/Skills Required:
• TS/SCI with CI Poly required
• Must be willing to work in SCIF daily or as needed
• 5+ years of professional software engineering experience with cloud-first development approach
• 5+ years of hands-on experience with AWS CDK for Infrastructure as Code
• 3+ years building complex, reusable CDK constructs and stacks
• Proficiency in async programming and performance optimization* 3+ years implementing multi-environment deployment strategies using CDK
• 5+ years of advanced Python development experience
• API design and versioning (preferably with Apache Kafka)
• 4+ years of data engineering experience
• ETL/ELT pipeline development using AWS services
• Experience with data lakes, data warehousing, and analytics platforms
o Real-time data processing and streaming architectures
• 3+ years with AWS cloud-native services
o Advanced knowledge of Lambda, API Gateway, EventBridge, SQS, SNS
o Experience with data services: RDS, DynamoDB, Redshift, S3, Athena
o Container orchestration with ECS, Fargate, or EKS
• Strong problem-solving abilities with proven track record of resolving complex technical challenges
group id: 91136741