Senior Cloud Engineer

sentara; Norfolk (VA); On-site; USD 119,000 - 181,000; Full time

Benefits offered by this job

Medical, Dental, Vision plans

401k/403B with Employer Match

Tuition Assistance

Paid Time Off

Job summary

Sentara is seeking a Senior Cloud Engineer to design, implement, and operate secure, scalable cloud platforms supporting enterprise applications, AI workloads, and analytics. You will manage Azure and AWS infrastructure, Kubernetes, IaC, and DevSecOps to ensure security, observability, and reliability.

The role emphasizes building reusable platform services, guardrails, and self-service capabilities, with strong collaboration across architecture, cybersecurity, and data teams.

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.

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 for standardization and 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.

Skills

Cloud engineering

Kubernetes

CI/CD

DevSecOps

MLOps

Terraform

Bicep

Azure

AWS

Automation

Education

Bachelor's Degree (Preferred)

Experience in lieu of Bachelor's degree - 7+ years

Tools

Terraform

Bicep

AKS

Databricks

MLflow

GitHub

Job description

City/State

Norfolk, VA

Work Shift

First (Days)

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, 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.

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

Required 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.

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 environmen

Compensation

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay range for full-time employment is $118,601.60 - $180,876.80 annually.

Additional compensation may be available for this role, such as shift differentials, standby/on-call pay, overtime, 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.

Benefits: Caring For Your Family and Your Career

• 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 empl