Azure Platform Senior Engineer

Job Details
Description
Position: Senior Engineer, Azure Platform

The Azure Platform Senior Engineer is a trusted technical leader within their team who owns one or more systems and serves as a go-to resource for technical decision-making. They design and deliver complex solutions, mentor junior and mid-level engineers, and shape the technical direction of their area. Senior Engineers operate with limited oversight, proactively identify improvements, and balance short-term delivery with long-term health systems.

Responsibilities
Designs, architects, and delivers complex features and system-level solutions with limited oversight
Owns the technical health, reliability, and evolution of one or more systems or major components
Leads technical design discussions, produces design documents, and participates in defining scope and technical direction for projects within their domain
Mentors Engineer I and II team members through code reviews, pairing, and direct coaching — including onshore and offshore engineers
Collaborates with product, QA, and business stakeholders to shape requirements and influence technical decisions
Drives continuous improvement in code quality, testing practices, CI/CD pipelines, and engineering standards
Identifies technical debt and systemic risks; proposes and leads remediation efforts
Serves as an escalation point for complex production issues and leads root-cause analysis
Leverages AI-assisted development tools to accelerate delivery and improve code quality; helps establish team practices for effective AI-assisted workflows
Participates in a shared on-call rotation to support production reliability and patient safety; Participates in on-call rotation across the team and volume is generally low

Position Requirements
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field; Or, equivalent practical experience. Master's degree a plus
Minimum of four (4) years of professional engineering experience with demonstrated progression in responsibility
Advanced proficiency in at least one modern technology stack or platform relevant to assigned domain
Understanding of system design, architecture patterns, and scalability considerations
Demonstrated ability to mentor and elevate the technical skills of other engineers
Proven problem-solving skills with the ability to navigate ambiguity and make sound trade-off decisions
Evidence of written and verbal communication skills with the ability to influence technical and non-technical stakeholders
Demonstrated experience leveraging AI-assisted development tools and workflows to improve engineering velocity and quality
Experience working in agile environments and leading delivery across cross-functional teams
Proficiency with Microsoft Azure IaaS and PaaS services (VMs, VNets, AKS, App Services, Storage, Key Vault) and Microsoft 365 E5 administration (Exchange Online, Teams, SharePoint, Defender suite)
Advanced knowledge of Entra ID -- SSO/SAML, Conditional Access, RBAC, and Privileged Identity Management for a distributed workforce
Proficiency with Azure Networking -- Fortinet firewall experience is a plus, Azure Firewall, Vnet peering, NSGs, private endpoints, service endpoints, Azure Front-Door, Application Gateway and load-balancers, Azure DNS, VPN connectivity, Cisco Meraki administration (routing, switching, wireless)
Proficiency in scripting and automation (PowerShell, Bash, or Python) and Infrastructure-as-Code tooling (Terraform, ARM templates, or Azure Bicep)
Experience with DevOps – CI/CD pipelines, version control, design and manage build, test, and deployment workflows using tools like Azure DevOps GitHub Action, Jenkins
Experience with monitoring, alerting, and observability tooling (Azure Monitor, Log Analytics, Microsoft Defender) and supporting compliance audits with infrastructure evidence and documentation
Experience with backup, restore, and disaster recovery procedures for Azure workloads, including periodic DR testing and validation
Experience with containerization and container orchestration (Docker, Kubernetes/AKS) including deployment, scaling, and cluster management