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Key Responsibilities Enterprise OCR Solution Design & Architecture Design and implement enterprise OCR aligned with enterprise architecture principles and technology standards. Define scalable, secure, and reusable OCR service patterns that can support multiple business domains and document types. Establish OCR solution design standards, best practices, and governance frameworks across the organization. Ensure all OCR platforms comply with enterprise security, data governance, audit, and regulatory requirements. Azure Platform Engineering Architect, deploy, and maintain Azure-based OCR platforms using: Azure AI Document Intelligence (Form Recognizer) Azure Cognitive Services Azure Functions Azure Logic Apps Azure Storage Accounts Azure Data Factory Azure App Services Azure Key Vault Azure Monitor and Log Analytics Enterprise Integration & Automation Integrate OCR platforms with enterprise applications including ERP, CRM, SAP, SharePoint, and business workflow systems. Develop and manage APIs, event-driven integrations, and automated document processing pipelines. Establish data quality controls, validation frameworks, and exception management processes. Ensure seamless integration with enterprise identity, access management, and security platforms. Governance, Security & Compliance Ensure OCR solutions comply with enterprise security policies, cybersecurity standards, and data protection requirements. Implement role-based access control (RBAC), encryption, secret management, and audit logging. Conduct architecture reviews and risk assessments for OCR initiatives. Support compliance requirements including internal audit, operational risk, and data governance controls. Operations & Platform Support Manage production OCR environments and platform availability. Monitor solution performance, accuracy, throughput, and operational health. Troubleshoot platform issues and drive root cause analysis. Establish operational runbooks, support procedures, SLA monitoring, and disaster recovery plans. Requirements Technical Skills 5+ years experience in Azure Cloud Engineering or Solution Engineering. Proven experience designing and implementing enterprise OCR or Intelligent Document Processing solutions. Strong hands-on experience with: Azure AI Document Intelligence (Form Recognizer) Azure Cognitive Services Azure Functions Azure Logic Apps Azure Storage Azure Key Vault Azure DevOps REST APIs Experience building enterprise-scale, secure, and resilient cloud architectures. Proficiency in Python, C#, or .NET technologies. Soft Skills Strong stakeholder engagement and communication skills. Excellent analytical and problem-solving abilities. Ability to lead technical discussions and architecture reviews. Experience working in large enterprise environments.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.