CCSI Systems Lead Engineer

At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone.

Location: Southfield, MI, Chicago, IL, Dallas/Houston, TX, or New York, NY (hybrid)

About the Role

In this critical role on AlixPartners’ Corporate Services team, you will support the Information Technology function via the CCSI (Cloud, Client Services, and Innovation) Team. This role is a senior, hands-on technical leadership position with a strong emphasis on AI-enabled platforms, GitHub-centric delivery, GitOps operating models, Infrastructure as Code (Terraform), and containerized workloads across Azure and multi-cloud environments.

The CCSI Systems Lead Engineer is a full-time role located in Southfield, MI, Chicago, IL, Dallas/Houston, TX, or New York, NY and reports to the Cloud Platform Delivery and Operations Director. Paid relocation is not available for this position.

What you’ll do

AI, Platform Engineering & Cloud Enablement

• Lead the design, deployment, and operational support of AI and large language model (LLM) platforms leveraging Azure-native services, with a focus on scalability, security, and compliance.
• Guide cloud-native platform evolution across Azure, AWS, and GCP, with a primary concentration on Azure PaaS, AI services, and automation-first architectures.
• Partner with stakeholders to analyze, report on, and remediate performance, reliability, and cost optimization issues across AI-enabled and traditional cloud workloads.

GitHub, GitOps & Infrastructure as Code

• Establish and operate GitHub as the system of record for infrastructure, platform, and configuration changes using GitOps principles.
• Design, build, and maintain CI/CD pipelines in GitHub and Azure DevOps, enabling automated testing, security scanning, and deployment of cloud and AI platforms.
• Lead the authoring, review, and lifecycle management of Terraform-based Infrastructure as Code, ensuring repeatability, compliance, and auditability across environments.
• Define standards and best practices for IaC using Terraform, ARM, Bicep, JSON, and PowerShell, with a bias toward modular, reusable components.

Containers & Cloud-Native Operations

• Architect, deploy, and support containerized platforms and workloads, including orchestration, scaling, and lifecycle management on Azure-native container services.
• Guide teams in adopting cloud-native and microservices-based designs, integrating containers into CI/CD and GitOps workflows.
• Provide hands-on operational leadership for 24x7x365 production environments supporting mission-critical, high-volume systems.

Governance, Documentation & Cross-Team Leadership

• Lead day-to-day technical, administrative, and functional support for cloud platforms, ensuring alignment with compliance frameworks such as SOC2, ISO27001, and HIPAA.
• Define and maintain system documentation standards, including architecture diagrams, Git repositories, runbooks, and operational procedures.
• Provide technical leadership across cross-functional teams, guiding system design decisions, onboarding new engagements, and troubleshooting complex platform issues.
• Continuously evaluate emerging technologies in AI, cloud, and DevOps to drive platform modernization and operational excellence.

Additional responsibilities as identified. This description is not designed to encompass a comprehensive listing of required activities, duties, or responsibilities.

What you’ll bring

• BS or BA in Computer Science, Management Information Systems, or related field preferred; equivalent experience may be considered in lieu of degree.
• Relevant certifications such as Azure Architect Expert or Azure Administrator are highly preferred.
• Minimum five (5) years of progressive experience supporting and operating cloud platforms, with deep expertise in Microsoft Azure and exposure to AWS and/or GCP.
• Demonstrated experience architecting, deploying, and operating AI / LLM platforms using Azure services.
• Strong hands-on experience with Terraform and Infrastructure as Code, inclu