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Ultimus Fund Solutions

DevOps Engineer, AI Platform

Ultimus Fund Solutions Cincinnati, Ohio, United States · $100K–$250K/yr

Financial Services · 1,001-5,000 employees

Yesterday
devops Senior (5-10 yrs) Full-time United States
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About the role

You will build and maintain the infrastructure as code for the AI platform on Azure while managing delivery pipelines for AI applications and models. Additionally, you will implement monitoring, logging, and automated testing to ensure the platform remains scalable, secure, and resilient.

What they look for

Azure AKS Infrastructure as code CI/CD Azure DevOps Container registry API Management Networking Monitoring Logging Tracing Alerting Release management Incident response Automation AI platform

Requirements

The role requires experience with Azure services such as AKS, container registry, and API management to support AI infrastructure. You must be proficient in creating CI/CD pipelines and managing automated testing, release processes, and incident response.

Full description

About the team

Ultimus is investing in AI to transform how fund administration work gets done, from generative AI assistants, intelligent document processing and machine learning to a growing set of agentic AI workflows. The AI Infrastructure team builds and runs the secure, shared platform that all of our AI solutions are built on, giving teams across the firm a consistent, well-governed foundation for building, deploying and scaling AI applications, models and agents. You will join early and help shape the platform and practices the rest of the firm builds on.

About the role

As DevOps Engineer you build and run the delivery pipeline and runtime for our AI platform, so the AI Development pods can build, test and release AI applications, models and agents quickly and safely.

What you'll do

  • Build and maintain infrastructure as code for the AI platform on Azure (AKS, container registry, API Management, networking and supporting services).
  • Create CI/CD pipelines in Azure DevOps for AI applications, agents, models and prompts, including automated testing and evaluation gates before release.
  • Set up separate development, test and production environments so teams can build and run controlled pilots.
  • Implement monitoring, logging, tracing and alerting for AI applications, agents and model usage, including cost and token tracking.
  • Manage releases, rollbacks and incident response, and support the platform's kill-switch and change-control processes.
  • Automate routine operations and keep the platform patched, scalable and resilient.

Ultimus is an equal opportunity employer and does not discriminate on the basis of the applicant’s or employee’s race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.

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