[Hiring] Senior Cloud Engineer @Sentara Health

Role Description

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, DevSecOps 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 AgentOps practices.
• DevSecOps, Reliability and Governance
  • 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.

Qualifications

• Bachelor's Degree (Preferred) or 7+ years of relevant experience without a Bachelor’s degree.
• Relevant Azure certifications preferred.

Requirements

• 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.

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 with MLOps, LLMOps, AgentOps, platform engineering, and developer self-service capabilities.
• Experience in healthcare or another highly regulated environment.

Benefits

• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to $10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance – $5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down – $10,000
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.