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Open nowPosted 24 hours ago

Cloud/Security Engineer, AI Platform

Ultimus43 open roles

Where
Columbus, OH, USA
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Your applicationOpen nowCloud/Security Engineer, AI PlatformUltimus · Columbus, OH, USA
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Ultimus's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. Ultimus postings stay open a median of 21 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 24 hours ago

Ultimus median: 21 days open

The posting

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 Cloud / Security Engineer you make sure our AI platform is secure, compliant and well run in Azure, with the right identity, access, data protection and guardrails for the AI applications, models and agents that work with sensitive client data.

What you'll do

Design and operate the Azure cloud environment for the AI platform: subscriptions, networking, private endpoints and landing zones. Implement identity and access for people, applications and AI agents, including agent identities, least-privilege permissions and on-behalf-of access to source systems. Build security controls into the platform: secrets management, encryption, data loss prevention, sensitive-data handling and an agent kill-switch. Implement AI guardrails and policy enforcement in partnership with Compliance, Risk and Information Security. Monitor for threats and misconfigurations, respond to security events and support audits and client due diligence. Manage cloud cost and capacity for AI workloads.

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Why it works

3×

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The numbers game

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