Top Python Developer Jobs in Delhi

The Principal Software Engineer will lead technical strategy and architecture for applications, mentor engineers, and solve complex cross-team problems in healthcare software.

As a Backend Engineer, you will develop and maintain high-quality code, collaborate with teams on various applications, ensure product integrity, and enhance system performance while embracing a culture of innovation and fun.

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 Azure Data Engineer will design and maintain data pipelines, optimize data workflows, and ensure system performance, leveraging Azure technologies.

As a Full Stack Engineer at Oliv.AI, you will design, develop, and improve products using Clojure(script) and Python, focusing on customer feedback and product analytics.

The Senior Python Developer - Tech Lead will lead backend initiatives, design scalable systems, mentor engineers, and ensure effective deployment and performance.

The Senior Data Engineer will design and optimize ETL/ELT pipelines, manage data integration, perform data validation, and support reporting solutions using various technologies.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

The Data Scientist will analyze data, optimize ML systems for pricing, propose ML opportunities, collaborate with teams, and support data-driven decisions.

As an Agentic Systems Engineer, you will build modular agents, enhance memory systems, integrate tools, ensure quality, and analyze production performance.

The QA Engineer will test various systems throughout the project lifecycle, create test plans, track issues, and collaborate across departments.

The Associate Data Engineer will assist in building and maintaining data pipelines, writing SQL queries, and ensuring data quality using tools like Snowflake and Matillion.

The DevOps II engineer will enhance cloud infrastructure, manage CI/CD pipelines, automate systems, and ensure security and compliance in AWS environments.

Design and develop applications and intelligent systems, conduct peer reviews, unit test code, and optimize application performance while participating in agile processes.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

SigNoz seeks driven ex-founders to help build developer infrastructure products and lead growth initiatives, requiring some development experience with Python or JavaScript.

Lead the architecture and implementation of a distributed data platform for microscopy, ensuring scalability and high-performance in data management.

The role involves developing APIs for hosting control panels, improving code quality, and leveraging various technologies while ensuring scalability and security.

The SRE/DevOps Engineer will manage HighLevel's infrastructure, focusing on production operations, reliability engineering, and security remediation, while collaborating with various teams to enhance system stability.

As a Forward Deployed Engineer Strategist, you will work with teams to deploy voice AI technology, identify customer needs, design integrations, and deliver high-impact solutions while collaborating with customers and internal teams.

As a Data Scientist, assess business opportunities and promote data science use, developing and operationalizing analytics solutions with internal and external partners.

The DevOps Engineer will manage and enhance deployment, automation, and monitoring of production applications, while collaborating on infrastructure and security challenges.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

Build and scale backend services and orchestration for AI agents managing procure-to-pay workflows. Implement APIs, integrations with ERPs and payment systems, observability, auditability, secure data pipelines, and testing/eval frameworks to ensure reliable, compliant AI-driven operations at enterprise scale.