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. Responsibilities Lead the development and maintenance of backend services and APIs in Django (primary) and .NET (secondary). Collaborate with front-end engineers to design and implement effective interfaces between
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using PowerShell, Microsoft Graph API, and/or Google API. ● Experience in creating and maintaining Microsoft SharePoint systems. ● Experience using and supporting Microsoft Office and Google products and
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, architecture, workflows, and integrations) and Unix/Linux operating systems. Proficient use of API-based integrations, ETL processes, and middleware platforms. History of interacting with database technologies
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encryption: HTTPS, TLS, AES, HMAC, and secure transmission protocols f. Cloud infrastructure and services: Hands-on experience with AWS, Azure, or Google Cloud g. Containerization: Docker and Kubernetes
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. Experience with cloud-based AI deployment (Azure, Amazon Web Services, Google Cloud Platform). Professional certifications in AI, NLP, machine learning, or cloud technologies. Experience with Azure AI Foundry
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experience Proficiency in one or more languages: Python, C#, JavaScript, or similar Experience with cloud services (Azure, AWS, or Google Cloud) Familiarity with REST APIs, databases (SQL/NoSQL), and identity
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systems that power them. Creates and supports APIs and manages both SQL and NoSQL databases used for mapping and location-based data. Uses standard software design approaches to keep code organized
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
datasets, with a focus on spatial analyses such as K-Nearest Neighbor (KNN) algorithms, etc. and Google Map APIs - Familiarity with Jira or similar software for agile software development, team collaboration
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, or scripting, with proficiency in Python, JavaScript, or a similar language, applied to system integration, workflow automation, or platform support. Experience working with or supporting APIs, system
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. Experience building or integrating with web APIs (REST/JSON) and working with common data formats. 4. Experience with other cloud AI platforms and services (AWS Bedrock, AWS SageMaker, Google Vertex AI, Google