Cloud Engineer/Software Developer
Location: St. Louis, MO
Department: SGIS
Description of Services/Responsibilities:
- 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
Basic Requirements:
- TS/SCI with Poly required with current Customer eligibility
- Must be willing to work in SCIF daily or as needed, 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 Qualifications
- 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
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