Top Python Developer Jobs in Delhi

Develop user interfaces and backend services for Netskope products, collaborating with backend teams and implementing web applications using modern technologies.

As a Product Engineer, you will ensure quality and usability of geospatial AI tools, design test plans, validate software, and document technical processes.

As a Data Scientist at Esri, develop AI models and tools for geospatial analysis, integrating deep learning with GIS data using Python.

As a Lead Data Engineer, drive innovative data analytics projects, manage engineering roles, and leverage AWS and Python to transform data solutions.

Join SentinelOne as a Staff Software Engineer to develop and implement cybersecurity solutions, focusing on backend systems, scaling, and performance optimization using Python and Go.

The Senior Software Engineer will design, develop, and support SentinelOne's backend systems, focusing on endpoint protection, feature design, service development in Go and Python, and optimization for performance.

The Senior Software Engineer will design self-serve platforms, implement real-time ML deployments, build data engineering pipelines and CI/CD processes, and ensure high-quality data workflows.

Lead software development and deployment in R and Python, manage CI/CD pipelines, oversee data strategy, and enhance performance optimization.

Manage customer tickets and escalations, ensuring compliance with SLAs while working independently and in a team. Provide operational support in telecom billing solutions.

The Senior Software Engineer II will build and maintain scalable services for our platform, collaborating with cross-functional teams and mentoring junior engineers while ensuring high availability and performance.

Design and maintain software solutions, ensure high quality, lead architectural decisions, mentor junior engineers, and collaborate across teams. Drive large initiatives.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The role involves developing QA strategies for AI applications, testing models for fairness and performance, and collaborating on automation frameworks.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

As a ML Engineer Intern, you will build functionalities for products and integrate third-party systems, gaining hands-on experience in ML applications.

As a Software Engineering Intern, you'll build functionality for various product lines and systems, integrating with third-party services while contributing to real-world applications.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

The Staff Software Engineer will develop and lead features for DVC, contribute to open-source projects, and collaborate with the team on machine learning and data-centric workflows.

You will write tests and automation for big data workflows, validate ingestion pipelines, and optimize cloud-scale data infrastructure in collaboration with Data Engineers.

The QA Engineer will improve test automation frameworks, ensure new features operate well in production, and enhance testing infrastructure for ClickHouse's cloud services.

As a Senior DevOps Engineer, you will build and maintain scalable cloud systems, improve CI/CD processes, automate deployments, and support engineering teams.

The DevOps Engineer will automate development and delivery processes, operate a high-load system on Kubernetes, and resolve incidents.

The Associate Data Scientist will manage clinical data for algorithm development, perform analytics and reporting, and collaborate to drive insights and solutions while ensuring data integrity.

The role involves partnering with leadership on fundraising, providing strategic insights, leading planning processes, and analyzing complex datasets for business improvements.