AlixPartners Logo

AlixPartners

CCSI Systems Senior Engineer

Posted 22 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
115K-135K Annually
Mid level
In-Office
New York, NY, USA
115K-135K Annually
Mid level
As a CCSI Systems Senior Engineer, you will support cloud platforms, focusing on AI-enabled solutions, GitHub workflows, and Infrastructure as Code using Terraform, primarily in Microsoft Azure. Responsibilities include deployment, operation, and optimization of cloud environments.
The summary above was generated by AI

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.

Containers & Cloud-Native Operations

  • 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.

Operations, Governance & Documentation

  • 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. 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.
  • 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

The firm offers a comprehensive benefits program including health, vision, dental, disability, 401K, tuition reimbursement, identity theft protection, and mental wellness support. Employees will also receive a 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, and twelve holidays.  

AlixPartners has embraced a hybrid work model to provide flexibility and support our employees’ work-life integration. Our hybrid model combines a mix of in-person at an AlixPartners office on Tuesday, Wednesday, and Thursday, with remote working options on Monday and Friday. 

The salary range for this role takes into account a number of factors and is between $115,000/annually - $135,000/annually with eligibility for an annual discretionary bonus. 

AlixPartners is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability. AlixPartners is a proud Gold Level award-winning Veteran Friendly Employer.

Prior to extending any offers for our New York office, we will verify your education and employment history as part of our recruiting process.

 #LI-KL2

#LI-Hybrid

Similar Jobs

2 Minutes Ago
Hybrid
86K-173K Annually
Mid level
86K-173K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
Designs, builds, and supports scalable data services and infrastructure across multiple platforms. Collaborates with users, developers, operations, and business partners to define requirements, perform data migration and transformation, ensure data accuracy/security, and maintain availability and scalability. On-call rotation and in-office presence required.
Top Skills: HadoopHiveImpalaLinuxPythonRest ApiShell Scripting
2 Minutes Ago
Remote or Hybrid
USA
75K-125K Annually
Senior level
75K-125K Annually
Senior level
Machine Learning • Payments • Security • Software • Financial Services
Lead business analysis for Digital Identity projects: gather and document system requirements, define capabilities, create system flows, manage backlogs, roadmap and releases, mentor junior analysts, coordinate stakeholders, and drive process improvement within Agile frameworks.
Top Skills: ConfluenceDynatraceJIRAKanbanMS OfficePostmanSafeScrumServicenowSoapui
An Hour Ago
In-Office
85K-138K Annually
Senior level
85K-138K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Support C-17 depot troubleshooting, technical research, and consultation. Develop dispositions for non-conformances, coordinate repairs with design and customer engineering, recommend test procedures, and implement product/process improvements while working closely with production teams.
Top Skills: Avionics SystemsElectrical SystemsMicrosoft Office SuiteNcr SystemNon-Destructive Testing (Ndt)

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account