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Ensure availability, performance, monitoring, and incident response for cloud platforms and services. Enforce production requirements (diagrams, dependencies, monitoring/logging, backups, HA). Troubleshoot exceptions, hardware/network/resource issues, use metrics (MTTR/MTTF), develop technical solutions, and lead reliability initiatives for regulated, enterprise cloud environments.

The Cloud Systems Engineer will manage cloud networks, perform system integration and validation, identify process improvements, and support enterprise AWS environments.

The role focuses on ensuring stability and operations of cloud systems, performing integration and validation, and driving improvements in infrastructure management.

Design, build, and deploy machine learning software and data pipelines for production government environments. Integrate and optimize distributed/cloud services, ensure code quality, lead reviews, mentor teammates, and engage directly with clients.

Join AIS supporting a federal client in the DMV to develop, train, and deploy AI/ML models from ideation to production. Use Python and common data-science libraries, work with database systems, collaborate on hybrid teams, and meet security clearance requirements.

Design, build, and deploy scalable data pipelines and validation for government production environments. Establish and maintain schemas, optimize SQL, handle messy/disparate data sources, work with large (100GB+) workflows, use Databricks/Spark/Python, and support ML/predictive solutions while mentoring teammates and engaging with clients. Active Secret Clearance required.

Design, build, and deploy full stack applications for a federal customer in government environments. Implement cloud-native services, secure coding (OWASP), optimize performance, lead code reviews, mentor teammates, troubleshoot distributed/cloud services, and interact directly with clients.