Top Python Developer Jobs in Delhi

Develop cloud-native products and services, support deployments, troubleshoot issues, and improve performance and scalability. Requires strong Linux and programming skills.

As a Senior Full Stack Software Engineer at TRM, you will design and build AI-powered internal applications, collaborate with stakeholders, and manage end-to-end projects.

The AI Engineer role involves applying AI tools to optimize IT support workflows, improve user experiences, and develop intelligent solutions in End User Services/Infrastructure.

The Full Stack Developer will build and maintain scalable backend and frontend features, ensuring code reliability and collaborating with various teams on business solutions.

Develop and maintain core components of the Quote Engine, focusing on scalable and reliable services. Collaborate with teams to implement event-driven architectures and contribute to code quality.

The Senior Cloud Test Engineer at MariaDB will design scalable automated testing systems for cloud technologies, ensuring quality and performance through integration testing.

As a Senior People Manager, you will manage multiple agile teams, oversee performance, strategic planning, and technical leadership while fostering team development and accountability.

Design, build, and manage AWS cloud infrastructure and data platforms. Develop ETL/data pipelines, automate deployments, and ensure system reliability.

As a Data Engineer, you will design and maintain data infrastructure, build data pipelines, and collaborate on data requirements for analytics and reporting.

The Senior SDET will develop and implement test strategies, design automation frameworks, conduct manual testing, ensure software quality, and mentor junior engineers.

As a Site Reliability Engineer II, you will manage incident response, enhance observability, automate operations, and collaborate across teams to maintain system reliability.

The Principal Engineer will design data warehousing and analytics platforms, lead engineering practices, mentor junior engineers, and drive scalable solutions for data integration and processing.

The Staff Machine Learning Engineer will design, deploy, and maintain scalable ML solutions, collaborate with teams, and enhance productivity through tooling.

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

This role involves building and scaling the core product, owning parts of the backend stack primarily in Python, and collaborating closely with the founding team.

Design, build, and scale backend systems for the Made Card platform, focusing on system design, database optimization, API delivery, and performance reliability while mentoring junior engineers.

Lead QA for mobile/web products, define test strategies, conduct manual/automated testing, mentor colleagues, and ensure software quality.

The role involves managing application performance, developing monitoring tools, and leading improvements in cloud services while participating in on-call rotations.

As a Solutions Architect at phData, you will design and implement data solutions, mentor engineers, and develop technical solutions for cloud platforms.

As a Software Engineer, you'll refine and scale an AI-powered hiring platform, improve AI interview experiences, and build recruiting engine functionalities.

The Platform Engineer will build and maintain internal developer tools, manage cloud resources, support DevOps practices, and enhance system observability, ensuring seamless operations for engineering teams.

The Senior Data Scientist will design and implement data solutions, mentor junior team members, and stay updated with industry practices.

Lead the development of Agentic AI applications, focusing on autonomous decision-making and deployment of generative AI models while collaborating across teams to enhance AI capabilities and innovations.

The Data Scientist will implement GenAI systems, build components, support project delivery, analyze findings, and deliver technical solutions, focusing on NLP and deep learning.

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.