AP003 - Software Developer - Cleared

• Design and implement highly available, fault-tolerant, and distributed systems processing mass-scale geospatial datasets
• DevOps and debugging of system performance, cloud infrastructure, and geospatial datasets
• Deploy and monitor machine learning models in cloud environments, using services like AWS SageMaker and CloudWatch.
• Advanced in Typescript, Python (Or OOP), writing and reviewing code for enterprise scale applications.
• Possess excellent problem solving skills and ability to work independently within a fast paced environment

Requirements

TS/SCI with poly required

• Must be willing to work on site daily and on call to troubleshoot system outages should they occur
• 5+ years of professional software development with experience at scale
• Strong expertise in distributed systems design and microservice architecture
• Deep understanding of cloud-native technologies and AWS services (ECS, Lambda, SQS, SNS, SageMaker, RDS, DynamoDB)
• Extensive experience with Infrastructure as Code (Terraform, CloudFormation, or CDK)
• Advanced proficiency in multiple programming languages (Python, TypeScript/JavaScript, Java, etc)
• DevOps: Monitoring (CloudWatch, Prometheus, etc), logging, and alerting
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines

Preferred Skills:

• Distributed Systems: Message queues, event-driven architecture, eventual consistency
• Data Engineering: Stream processing, ETL pipelines, data warehousing
• MLOps: Model validation and deployment for inference, and performance monitoring.
• Performance Optimization: Profiling, debugging, capacity planning
• Experience with real-time geospatial processing and analysis
• Contributions to open-source projects
• System design experience with focus on scalability and reliability
• Knowledge of security best practices and compliance requirements

Benefits