Senior Cloud Platform Engineer - AI & GitOps (Azure)

AlixPartners

Chicago (IL)

Hybrid

USD 115,000 - 135,000

Full time

14 days+

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Benefits offered by this job

Health benefits

401K

Tuition reimbursement

Identity theft protection

Mental wellness support

Paid time off

Job summary

AlixPartners seeks a CCSI Systems Senior Engineer for a hands-on cloud and platform engineering role focused on AI-enabled platforms, GitHub-based delivery, GitOps, Terraform IaC, and containerized workloads, primarily on Azure.

The role is full-time with locations in Southfield, MI; Chicago, IL; Dallas/Houston, TX; or New York, NY and a hybrid work model. Reports to the Cloud Platform Delivery and Operations Director, with a comprehensive benefits package.

Qualifications

BS or BA in Computer Science, MIS or related field preferred; equivalent experience may be considered in lieu of degree.
Minimum three (3) years of progressive experience supporting and operating cloud platforms, preferably in a Microsoft Azure–centric environment.
Hands-on experience supporting AI-enabled or data-intensive platforms, including exposure to Azure AI or LLM services.
Practical experience with Terraform and Infrastructure as Code, supporting multi-environment deployments.
Experience using GitHub for source control and CI/CD, with exposure to GitOps-style workflows.
Experience supporting containerized workloads and cloud-native application platforms.
Exposure to data, analytics, or AI-adjacent technologies (e.g., Microsoft Fabric, Databricks) preferred.
Familiarity with AWS and/or GCP is a plus.
Experience operating in production-oriented service environments, including participation in on-call or 24x7 support models.
Strong analytical, technical, and problem-solving skills with the ability to translate analysis into clear insights and recommendations that inform decision-making.

Responsibilities

Support the deployment, operation, and ongoing improvement of AI-enabled platforms and large language model 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.
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 deployments.
Follow established standards for IaC using Terraform, ARM, Bicep, JSON, and PowerShell.
Support the deployment and operation of containerized platforms and workloads, including day-to-day administration and troubleshooting.
Assist application and platform teams with adopting cloud-native and microservices-based architectures.
Integrate container workflows into CI/CD and GitOps processes.
Participate in 24x7x365 production support for mission-critical systems.
Provide day-to-day technical support for cloud platforms, SaaS services, and enterprise systems.
Assist in maintaining system documentation, including architecture diagrams, runbooks, and operational procedures.
Support compliance-aligned environments such as SOC2, ISO27001, and HIPAA.
Collaborate with cloud architecture, security, and operations teams to implement platform standards and improvements.
Communicate clearly with stakeholders and leadership regarding platform health, incidents, and operational activities.