DevOps Engineer - Azure Databricks & Azure Cloud Operations

This role involves designing and deploying secure Azure AI Foundry ML pipelines for OCR-based billing data extraction. You will build and manage end-to-end AI pipelines, automate deployments with CI/CD tools, and ensure observability through centralized logging and monitoring. The work focuses on integrating AI-driven automation with cloud and on-premises infrastructure.

Summarised by InternDoor from Unisys’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Deploy and manage secure Azure AI Foundry ML pipelines for OCR-based billing data extraction
• Build CI/CD pipelines with Azure DevOps for ML-enabled infrastructure and services
• Design cloud environments combining on-premises and Azure services
• Implement observability with Azure Application Insights and centralized logging

Degree

BE

Experience

2+ years

What the posting states about who can apply. Read the posting for its full list.

1. Check what they ask for. Read the requirements above: Unisys asks for 2+ years.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
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Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

4 Nov 2026, on LinkedIn

First seen by InternDoor

4 Nov 2026, within 2 hours of being posted

Last checked

4 Nov 2026: the posting was still in LinkedIn’s search results. We have not checked its application page.

Application deadline

Unisys has not stated one

Leaves InternDoor

By 4 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

unisys.wd5.myworkdayjobs.com

What we checked, and what the dates mean

The date this listing leaves InternDoor is our own rule, not a deadline set by Unisys. Postings can close earlier, at any time.

InternDoor has recorded 9 engineering postings from Unisys in India since Sept 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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