Crowe is looking to transform the way clients do business by leveraging state-of-the-art technologies, modern architectures, and industry experts to create AI-powered solutions. The new AI Transformation team will build on Crowe's established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team by combining Generative AI, Machine Learning and Software Engineering to empower clients irrespective of their current AI adoption stage.
Requirements
- Deep expertise with Microsoft Azure, including services like: Azure Kubernetes Service (AKS), Azure VNETs, Private Endpoints, and NSGs, Azure Key Vault, Blob Storage, App Gateway
- Experience building CI/CD pipelines using GitHub Actions, Azure DevOps, or equivalent
- Strong grasp of containerization and orchestration with Docker and Kubernetes
- Proficiency in Infrastructure as Code: Terraform or Bicep
- Working knowledge of distributed tracing, monitoring, and alerting
- Experience designing secure, highly available, zero-trust cloud networks
- Optimize resource utilization and cost-efficiency across infrastructure environments
Responsibilities
- Design and manage Azure-native infrastructure to support a multi-tenant SaaS application
- Build and maintain containerized deployments (Kubernetes/AKS)
- Own CI/CD workflows (build, test, promote) across multiple environments
- Implement network-level security policies and service-to-service communication patterns
- Configure scalable, observable systems using modern monitoring/logging stacks
- Collaborate with engineers to optimize performance and scalability of distributed services
- Conduct performance tuning, cost optimization, and capacity planning across cloud resources and deployments
Other
- Uphold Crowe’s values of Care, Trust, Courage, and Stewardship.
- Act ethically and with integrity at all times.
- Readiness to travel domestically approximately 80% of the time to meet client needs.
- The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
- The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.
