Azure Cloud Engineer

Vaco is partnering with a national wealth management organization to hire a Cloud Platform Engineer focused on building and evolving secure, scalable Azure infrastructure that supports engineering teams and mission-critical business systems.

This role is ideal for someone with a strong automation and infrastructure mindset who enjoys enabling developers through self-service tooling, Infrastructure as Code, and modern cloud platform practices. The environment is highly collaborative and focused on improving reliability, scalability, and operational maturity across a growing cloud ecosystem.

What You'll Be Doing Design and deploy secure, scalable Azure infrastructure supporting applications, integrations, and data workloads

Build and maintain core platform services that improve developer productivity and platform reliability

Implement Infrastructure as Code using Bicep, Terraform, and ARM templates

Develop automation workflows and operational tooling using PowerShell, Bash, and cloud-native automation practices

Create self-service templates and deployment tooling to reduce friction for engineering teams

Partner with engineering teams to implement Azure governance, security controls, and best practices

Support cloud networking architecture including VNETs, routing, firewalls, private endpoints, and hybrid connectivity

Monitor and optimize cloud infrastructure for performance, cost efficiency, and operational reliability

Contribute to incident response, design reviews, and platform roadmap planning

Support observability and monitoring initiatives using Azure Monitor, Log Analytics, and KQL

Assist with modernization efforts across distributed and hybrid cloud environments

Required Experience 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure-focused roles

Strong hands-on experience with Microsoft Azure infrastructure and platform services

Experience implementing Infrastructure as Code using Terraform, Bicep, ARM, or similar tooling

Strong understanding of Azure governance and identity concepts including RBAC, PIM, Azure Policy, and Entra ID

Experience supporting cloud networking components such as VNETs, NSGs, load balancers, Application Gateway, and hybrid connectivity

Experience with CI/CD pipelines and Git-based workflows using Azure DevOps or GitHub Actions

Strong scripting and automation experience with PowerShell or Bash

Experience supporting distributed or cloud-native applications in Azure or hybrid environments

Strong communication skills and ability to collaborate across engineering teams

Nice to Have Experience with Azure data services

Exposure to C#/.NET or legacy Microsoft application stacks

Azure certifications such as AZ-104, AZ-700, or AZ-305

Compensation & Benefits Competitive salary based on experience

Performance-based bonus eligibility

Comprehensive medical, dental, and vision coverage

401(k) with employer contribution

Additional insurance offerings and employee benefits

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.