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Lead architecture and design of scalable, distributed, secure cloud-native systems. Define standards, guide development teams, troubleshoot production issues, implement CI/CD and automated tests, mentor engineers, collaborate with DevOps, and support delivery within Agile/SAFe frameworks. Requires occasional East Coast travel.

Architect and implement secure, scalable cloud infrastructure and data pipelines. Design/deploy reusable Terraform modules, provision Kubernetes clusters, onboard apps with Helm/FluxCD, implement Cloud IAM, build Azure DevOps CI/CD, design cloud networking (VNets, private endpoints, DNS, App Gateway, Front Door, APIM), deploy multi-region workloads, test failover/DR, and automate governance.

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.

Lead a team to implement and oversee full RMF lifecycle for federal systems: categorize systems, select and implement controls, plan and execute assessments, prepare authorization packages, direct continuous monitoring, advise on risk and incident response, and ensure compliance with NIST standards while mentoring staff and interfacing with stakeholders.

Lead architecture and hands-on delivery of AI-enabled, cloud-native enterprise software. Define AI-native engineering standards, implement CI/CD and automated testing, ensure security, observability, and operational excellence, mentor engineering teams, and drive adoption of modern Azure and GitHub development ecosystems.