Senior Cloud Engineer - AI Platform & DevSecOps (Remote)

Sentara Health Plans; Norfolk, Northern (VA, KY); Hybrid; USD 119,000 - 181,000; Full time

Benefits offered by this job

Medical, Dental, Vision plans

Tuition Assistance

401k with Employer Match

Paid Time Off

Job summary

Sentara Health Plans is seeking a Senior Cloud Engineer to design, deploy, and operate secure, scalable cloud platforms across Azure and AWS, with a focus on AI workloads. You will build Kubernetes environments, automate IaC pipelines, and implement robust security, observability, and governance.

Collaboration with cross-functional teams is essential to deliver enterprise-grade solutions. Join a role that enables AI platform enablement, ML workflows, and managed services while upholding

Qualifications

• 5+ years of experience in cloud, platform, infrastructure, or DevOps engineering.
• Strong hands-on experience with Microsoft Azure and working knowledge of AWS.
• Proficiency with Terraform, Bicep, Kubernetes, AKS, containers, GitHub, 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.

Responsibilities

• Design, deploy, and support Azure and AWS infrastructure using Terraform and Bicep.
• Build and operate Kubernetes environments, including 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.
• 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 AgentOps practices.
• Design and maintain GitHub-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, DevOps, and Application Development teams.

Skills

Azure

Terraform

Kubernetes

CI/CD automation

Security & observability

GitHub

Communication

Problem-solving

Education

Bachelor's Degree

Tools

AKS

Databricks

MLflow

Azure OpenAI

Job description

Sentara Health Plans is seeking a Senior Cloud Engineer to design, deploy, and operate secure, scalable cloud platforms across Azure and AWS, with a focus on AI workloads. You will build Kubernetes environments, automate IaC pipelines, and implement robust security, observability, and governance.

Collaboration with cross-functional teams is essential to deliver enterprise-grade solutions. Join a role that enables AI platform enablement, ML workflows, and managed services while upholding