Top Tech Jobs & Startup Jobs in Delhi

Drive Android technical standards across the consumer domain: design and build features, lead architecture and roadmaps, mentor engineers, run reviews and interviews, and improve engineering tooling and processes.

As a Data Scientist, you will analyze and model data to optimize machine learning systems, such as dynamic pricing and trip dispatching. Your role includes conducting exploratory data analysis, deploying ML applications, and collaborating across teams to improve solutions.

Lead engineering teams, oversee project execution, improve product architecture, and cultivate technical culture within the organization.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

As a Backend Staff Engineer, you will lead technical standards, mentor junior engineers, conduct code reviews, and drive feature development in a fast-growing on-demand services environment.

Lead backend architecture and development for Last Mile Delivery: design, build, and maintain features, drive technical roadmap, mentor engineers, conduct reviews and interviews, and improve engineering standards and tooling.

As a Backend Staff Engineer, you will lead technical standards, mentor junior developers, manage dependencies, and oversee feature development in the Last Mile Delivery domain. Responsibilities include conducting design reviews, participating in architecture discussions, and improving engineering processes while fostering team growth.

The Staff Full-Stack Engineer will lead backend efforts, mentor junior developers, design features, conduct code reviews and improve engineering standards in a fast-paced startup environment.

The Full Stack Engineer will design and develop web applications using Node.js and React, ensuring quality and performance while collaborating with teams to deliver features on schedule.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.