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SH Senior Cloud Engineer Sentara Health · Remote · US · Cloud –ago

Remote / Online - Candidates ideally in
Norfolk, Virginia, 23500, USA
Listing for: Devopsroles
Full Time, Remote/Work from Home position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Azure
Salary/Wage Range or Industry Benchmark: 118601.6 - 180876.8 USD Yearly USD 118601.60 180876.80 YEAR
Job Description & How to Apply Below

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

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay range for full-time employment is $ - $ annually. Additional compensation may be available for this role, such as shift differentials, standby/on-call pay, shift premiums, extra-shift incentives, or bonus opportunities. Compensation within the range may vary based on qualifications, experience, location, market conditions, and business needs.

Note:

If an annual salary is posted, it is based on a full-time colleague working 2,080 hours annually.

Sentara offers a comprehensive benefits package, including medical, dental, vision, life and disability insurance; 401(k)/403(b) with employer match; paid time off (vacation, sick time, and holidays); paid parental and military leave;…

Position Requirements
10+ Years work experience
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