Systems Engineer
US$115,000 – US$135,000 / yr base salary
Posted 28 Jul 2026
Advertised as “CCSI Systems Senior Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$115,000 – US$135,000 / yr |
|---|
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 as part of the CCSI (Cloud, Client Services, and Innovation) Team. This position is a hands-on cloud and platform engineering role with a strong focus on AI-enabled platforms, GitHub-based delivery, GitOps operating models, Infrastructure as Code (Terraform), and containerized workloads, primarily within Microsoft Azure.
The CCSI Systems Senior 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 Platforms & Cloud Engineering
- Support the deployment, operation, and ongoing improvement of AI-enabled platforms and large language model (LLM) services using Azure-native capabilities.
- Participate in the engineering and operations of cloud platforms across Azure (primary),AWS, and GCP, with an emphasis on Azure PaaS, AI services, and automation-first designs.
- Assist in monitoring, analyzing, and remediating performance, reliability, and cost optimization issues across AI and non-AI cloud workloads.
- Support platform scalability, security, and compliance requirements for production cloud environments.
GitHub, GitOps & Infrastructure as Code
- Contribute to GitHub-based delivery workflows, treating Git repositories as the system of record for infrastructure and configuration changes.
- Implement and maintain GitOps-aligned CI/CD pipelines using GitHub Actions and/or Azure DevOps.
- Author, update, and maintain Terraform-based Infrastructure as Code, supporting repeatable, auditable, and environment-consistent deployments.
- Follow established standards for IaC using Terraform, ARM, Bicep, JSON, and PowerShell.