Senior Cloud Engineer

## Senior Cloud Engineer Apply:
Remote:
Norfolk, VA:
Full time:
Posted Yesterday:
JR-100646
** City/State
** Norfolk, VA
** Work Shift
** First (Days)
** Overview:**#
** Overview*
* ** Senior Cloud Engineer
-AI
** Designs, implements, and operates secure, scalable cloud platforms that enable enterprise applications, AI, machine learning, analytics, and automation. This hands-on role is responsible for cloud infrastructure, Kubernetes, Infrastructure as Code, Dev Sec Ops  automation, and AI platform enablement across Azure and AWS, with a focus on security, reliability, observability, governance, and operational excellence.

Key Responsibilities Cloud Platform Engineering
· Design, deploy, and support Azure and AWS infrastructure using Terraform and Bicep.
· Build and operate Kubernetes environments, including Azure Kubernetes Service (AKS), container deployment, networking, scaling, and upgrades.
· Develop reusable modules, platform services, automation, and guardrails that enable standardization and developer self-service.
· Implement secure cloud networking, identity, access, connectivity, secrets management, monitoring, and resiliency patterns.

AI and Data Platform Enablement
· Build and support cloud platforms for AI, machine learning, generative AI, and advanced analytics workloads.
· Design and operationalize environments for Azure Machine Learning, Azure AI Services, Azure OpenAI, and Databricks Machine Learning technologies, including MLflow and Model Serving.
· Enable deployment of LLM, retrieval-augmented generation, vector database, and agent-based solutions through secure APIs and containerized services.
· Implement model deployment pipelines, evaluation, observability, monitoring, and operational controls using MLOps, LLMOps, and Agent Ops practices.

Dev Sec Ops , Reliability and Governance
· Design and maintain Git Hub-based CI/CD pipelines with automated testing, security validation, deployment controls, and traceability.
· Automate infrastructure provisioning, configuration, deployment, monitoring, and routine operations.
· Troubleshoot complex cloud, Kubernetes, networking, security, performance, and deployment issues.
· Ensure solutions align with enterprise architecture, cybersecurity, privacy, regulatory, and operational standards.
· Partner with Enterprise Architecture, Cloud Architecture, Cybersecurity, Data Engineering, IT Operations, Dev Ops, and Application Development teams.#
** Education
* ** Bachelor's Degree (Preferred) or
* Experience in lieu of Bachelor's degree - 7+ years of relevant experience without a Bachelor’s degree#
** Certification/Licensure
*** Relevant Azure certifications preferred   #
** Experience*
* ** Required Qualifications*
* · 5+ years of experience in cloud, platform, infrastructure, or Dev Ops engineering.
· Strong hands-on experience with Microsoft Azure and working knowledge of AWS.
· Proficiency with Terraform, Bicep, Kubernetes, AKS, containers, Git Hub, and CI/CD automation.
· Experience supporting Azure Machine Learning, Azure AI Services, Azure OpenAI, or comparable AI platforms.
· Experience deploying or supporting Databricks for data engineering, analytics, or machine learning workloads.
· Strong understanding of cloud networking, identity, security, observability, resiliency, and operational support.
· Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.
· Ability to work independently, navigate ambiguity, and provide technical guidance for complex initiatives.  
** Preferred Qualifications*
* · Experience with Databricks Machine Learning, MLflow, Model Serving, Unity Catalog, and automated ML workflows.
· Experience with LLMs, RAG, vector databases, agent frameworks, model evaluation, and AI observability.
· Experience…