Systems Engineer Jobs

About The Position

Requirements

• BS or BA in Computer Science, Management Information Systems, 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.
• Highly organized with excellent organizational skills with experience operating in time-sensitive, ambiguous environments, balancing competing priorities with sound judgment and discretion.
• Strong analytical, technical, and problem-solving skills with the ability to translate analysis into clear insights and recommendations that inform decision-making.
• Excellent written and verbal communication skills in English, with the ability to convey complex information clearly to senior stakeholders
• Highly organized with excellent organizational skills with experience operating in time-sensitive, ambiguous environments, balancing competing priorities with sound judgment and discretion.
• Core working hours are generally 8:30 AM – 5:30 PM, Monday - Friday; willingness to work outside of normal U.S. business hours, and as unique projects/needs arise
• Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday
• Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners’ Code of Conduct and foster an inclusive environment with people at all levels of an organization

Nice To Haves

• Exposure to data, analytics, or AI-adjacent technologies (e.g., Microsoft Fabric, Databricks) preferred.
• Familiarity with AWS and/or GCP is a plus.

Responsibilities

• 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.
• 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.
• 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.
• Additional responsibilities as identified.

Benefits

• health
• vision
• dental
• disability
• 401K
• tuition reimbursement
• identity theft protection
• mental wellness support
• generous paid leave policy including vacation/personal time starting at 7.34 hours per pay period
• sick time up to 80 hours annually
• parental leave
• twelve holidays