Top Tech Jobs & Startup Jobs

Design, develop, and maintain scalable Databricks-based ETL/ELT data pipelines and transformations. Support migration from HANA to a modern lakehouse, ensure data quality and performance, troubleshoot issues, participate in code reviews, and collaborate with architects, analysts, and stakeholders to deliver enterprise reporting, analytics, and AI-ready data solutions.

Design and implement production-grade Generative AI solutions focused on RAG using Azure OpenAI and Azure AI Search. Build backend APIs, serverless Azure deployments, scalable data pipelines for indexing/embedding/retrieval, CI/CD, and IaC. Ensure security, governance, and collaborate with cross-functional teams to deliver end-to-end GenAI systems.

Lead technical direction for agentic AI platforms across AWS/Azure: design architectures, establish standards and governance, ensure secure scalable cloud-native integrations, guide engineering teams, and operationalize AI solutions within a regulated enterprise.

Support the migration of Nintex workflows to SharePoint Online. Manage projects, coordinate stakeholders, and ensure quality through testing and documentation.

The Intermediate ServiceNow Configurator will configure, develop, and implement ServiceNow solutions, collaborating with stakeholders and ensuring best practices are followed.

Lead the delivery of Generative AI products by managing the product lifecycle, facilitating Agile execution, and ensuring alignment with user needs.

The role involves migrating Nintex solutions to Power Platform, developing SharePoint Online solutions, and managing workflow integrations with Microsoft Graph.

The GenAI Full Stack Developer will design and build AI applications, focusing on performance, scalability, and security, using various technologies and frameworks.

The Senior Salesforce Architect will design and lead enterprise Salesforce solutions, focusing on architecture governance and integration strategies for a banking sector client.

Seeking a GenAI Full Stack Developer to design and build enterprise AI applications using Full Stack technologies while ensuring performance and security. Responsibilities include building APIs, integrating AI systems, and optimizing applications for scalability.