Cloud Software Engineer

Description of Services/Responsibilities:

• Design and implement enterprise-scale cloud infrastructure using AWS CDK and Infrastructure as Code principles
• Architect and develop robust microservices architectures with focus on scalability, performance, and maintainability
• Build and optimize data engineering pipelines for large-scale data processing and analytics workloads
• Lead full-stack development initiatives using modern JavaScript/TypeScript and Python frameworks
• Implement advanced cloud-native solutions leveraging serverless architectures and event-driven patterns
• Drive technical excellence through code reviews, architectural decisions, and engineering best practices
• Solve complex technical challenges across distributed systems and provide innovative solutions to business problems

Basic Requirements

• TS/SCI required
• Must be willing to work in SCIF daily or as needed
• 7+ years of professional software engineering experience with cloud-first development approach
• 5+ years of advanced Python development experience
• Expertise in frameworks like FastAPI, Flask, or Django for API development
• Strong experience with data processing libraries (Pandas, NumPy, Apache Spark)
• Proficiency in async programming and performance optimization
• 5+ years of modern JavaScript/TypeScript development
• 3+ years with Node.js backend development and npm ecosystem
• 3+ years with frontend frameworks (React, Vue.js, or Angular)
• Experience with modern build tools and package managers
• 4+ years of microservices architecture design and implementation
• Event-driven architecture patterns and message queuing systems
• API design, versioning, and service mesh technologies
• 4+ years of data engineering experience
• ETL/ELT pipeline development using AWS services (Glue, EMR, Kinesis, Step Functions)
• Experience with data lakes, data warehousing, and analytics platforms
• Real-time data processing and streaming architectures
• 3+ years with AWS cloud-native services
• Advanced knowledge of Lambda, API Gateway, EventBridge, SQS, SNS
• Experience with data services: RDS, DynamoDB, Redshift, S3, Athena
• Container orchestration with ECS, Fargate, or EKS
• 2+ years of hands-on experience with AWS CDK for Infrastructure as Code'
• Building complex, reusable CDK constructs and stacks
• Implementing multi-environment deployment strategies using CDK
• Strong problem-solving abilities with proven track record of resolving complex technical challenges

Preferred Qualifications:

• 4+ years of experience with Authority to Operate (ATO) processes in government environments
• 3+ years of experience with advanced data analytics and machine learning platforms
  AWS SageMaker, Databricks, or similar ML/AI platforms
• Model deployment and MLOps pipeline development
• Database expertise across multiple platforms
• Performance tuning and optimization for RDS, DynamoDB, MongoDB
• Data modeling for both relational and NoSQL databases
• DevSecOps and security automation experience