We are seeking a Senior Azure Platform Engineer to help design and build a modern cloud platform supporting large-scale healthcare and population health initiatives. This is a hands‑on engineering role for someone who enjoys creating cloud infrastructure from the ground up, driving automation, and establishing best practices that enable development teams to build secure, scalable solutions.
You’ll work within a highly visible enterprise environment, helping shape the cloud foundation for next‑generation healthcare applications, analytics, and digital solutions.
What You’ll Do
- Design and implement highly available Azure cloud infrastructure.
- Build and maintain reusable Infrastructure-as-Code solutions using Terraform.
- Deploy, manage, and optimize Azure Kubernetes Service (AKS) environments.
- Develop CI/CD pipelines and automation using GitHub Actions.
- Create reusable deployment patterns, infrastructure modules, and Helm charts.
- Design and support Azure networking, including VNets, routing, DNS, private connectivity, and security controls.
- Establish secure integrations with enterprise systems and cloud providers including AWS and GCP.
- Partner with architects, platform teams, and application developers to deliver scalable cloud solutions.
- Ensure infrastructure aligns with enterprise security, compliance, and operational standards.
Required Qualifications
- 8+ years of cloud, infrastructure, DevOps, or platform engineering experience.
- Strong hands‑on experience with Microsoft Azure.
- Deep expertise with Terraform and Infrastructure as Code (IaC).
- Experience deploying and managing Azure Kubernetes Service (AKS).
- Strong understanding of Azure networking, security, and connectivity.
- Experience building CI/CD pipelines using GitHub Actions or similar tools.
- Experience creating reusable cloud infrastructure and deployment frameworks.
- Strong troubleshooting, automation, and problem‑solving skills.
Preferred Qualifications
- Experience within healthcare, health technology, or highly regulated industries.
- Experience supporting environments that manage PHI or sensitive data.
- Knowledge of Kubernetes ecosystem tools such as Helm.
- Experience with Kafka, PostgreSQL, Splunk, or OpenTelemetry.
- Experience supporting multi‑cloud environments (AWS and/or GCP).
- Exposure to modern AI‑assisted development tools such as GitHub Copilot or Microsoft Copilot.