Top Tech Jobs & Startup Jobs in Delhi

Seeking experienced Data Engineers with 5-7 years of experience in Databricks, PySpark, and Data Fabric concepts to aid in data transformation initiatives.

The Release Coordinator manages end-to-end release activities, ensuring compliance with ITIL frameworks, coordinating releases across teams, and managing Change Requests effectively.

Lead the technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.

Seeking a Python AI Lead with 10-12 years experience to develop AI applications, mentor teams, and oversee cloud architecture on Microsoft Azure.

Responsible for designing, implementing, and managing CI/CD pipelines and cloud infrastructure using Azure DevOps, ensuring system stability, and promoting DevOps best practices.

The Azure DevOps Lead is responsible for designing CI/CD pipelines, managing infrastructure as code, automating deployments, and mentoring engineers in a dynamic tech team.

Lead end-to-end business analysis for sports technology initiatives: gather and translate requirements, create BRDs/FRDs/wireframes, perform data analysis, facilitate stakeholder workshops, and collaborate with cross-functional teams to deliver compliant, data-driven sports solutions.

Lead ServiceNow application delivery: hands-on work across ITSM, CSM, ITOM, ITAM, HAM; guide development teams, liaise with stakeholders, apply Agile and DevOps practices to ensure successful implementations.

Design, develop, and maintain backend-intensive applications using .NET 6/8, Azure services, and React. Build serverless solutions with Azure Function Apps, implement RESTful APIs, and manage CI/CD pipelines via Azure DevOps while following software design patterns and best practices.

Design and lead end-to-end Azure data platforms, translate T-SQL transformations into optimized Databricks (PySpark/SQL) workflows, build ADF ingestion pipelines, define lake/lakehouse architectures, optimize performance and reliability, enforce governance and mentor engineering teams.