Lead Azure Cloud Engineer
The Opportunity
Guide, mentor, and manage a team of cloud engineers promoting a collaborative and high-performance work environment.
Conduct regular team meetings for code reviews, cross team collaboration opportunities, design reviews and training sessions to ensure continuous development and alignment with our goals.
Lead incident response and root cause analysis for Cloud platform services.
The Day-to-Day
Lead the design and management of scalable and resilient cloud infrastructure and automation tooling for routine operation tasks.
Oversee the implementation, configuration, and maintenance of Azure resources.
Ensure the reliability, availability, and performance of the Azure environment through proactive monitoring, optimization, and troubleshooting.
Manage cloud costs and increase resource usage to achieve cost efficiency.
Work with solution architects and partners to confirm developed solutions align with existing standards, meet security controls and meet cloud computing best practices.
Identify opportunities for process improvements, automation, and the use of new technologies to enhance the Azure cloud environment.
Investigate and monitor current-state cloud usage, solutions in use, risks, gaps, limitations and recommend solutions, optimizations and remediation.
Ensure cloud services and toolsets are deployed with best practices and documentation.
Your Qualifications
- 10+ years of experience in IT Infrastructure cross platform technology areas, with implementing and maintaining expertise of Azure cloud services.
- 5+ years of experience building, deploying and managing IaaS and PaaS services on Microsoft Azure platform.
- 4+ years of experience with Infrastructure as Code (IaC) using Terraform, including building reusable modules, managing state, and promoting infrastructure changes through automated CI/CD pipelines.
- 2 years of hands-on experience on Kubernetes and containerized workloads.
- Preferred knowledge on AI platforms such as Microsoft Azure AI or similar cloud-based AI services.
- Strong working networking knowledge (DNS, routing, firewalls, and private access).
- Scripting and automation of builds, workflows, tasks and other integration aspects.
- Linux and Microsoft Windows server administration.
- Experience with configuration management tools such as Ansible, Puppet, or Chef.
- Azure DevOps Engineer Expert or Azure Solutions Architect Expert cloud certification.