Top Python Developer Jobs in Delhi

Seeking a Lead SDET to manage quality strategy, lead a testing team, and ensure high product quality through automation and manual testing.

As an Associate Automation Engineer, you will write automation scripts for mobile applications, conduct data analysis, maintain testing frameworks, identify bugs, and assist customers. Requires knowledge of Appium, Python, and software QA methodologies.

As a Backend Engineer, you will develop automation frameworks, resolve bugs, optimize performance, and collaborate with teams to enhance product quality.

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.

Design, build, and optimize high-volume data pipelines using Python, Databricks and Spark on Azure. Create and maintain automation test suites (Azure DevOps), perform manual/load/exploratory testing, collaborate with BAs and developers to meet sprint goals, and assist with sprint estimation and delivery.

Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.

Design, build, and operate scalable data engineering services and ingestion pipelines (CDC/streaming). Develop and optimize a centralized analytics warehouse, data models, and aggregation strategies. Build APIs, enforce multi-tenant security and data governance, monitor pipeline health, improve automation and observability, and ensure production reliability through strong engineering practices.

Design and implement AI models, operationalize ML models, develop CI/CD pipelines for ML workflows, and provide technical guidance while ensuring data security compliance.

Design and develop features for the SiConic semiconductor validation platform, implement and optimize test execution, DFT integration, and automation. Develop and debug test flows and integrate components, collaborate cross-functionally, troubleshoot software/hardware interfaces, contribute to architecture and prototypes, and support validation tooling and automation frameworks.

Design, build, and maintain cloud-native full-stack applications using React and Python (FastAPI). Architect scalable solutions on AWS/Azure, implement CI/CD and IaC, develop RESTful APIs, optimize performance and security, mentor junior engineers, and participate in design and code reviews.

Design and execute performance tests, develop testing frameworks using Python or Node.js, monitor application performance in cloud environments, and integrate testing into CI/CD pipelines.

The Senior Data Scientist will design and implement data pipelines, develop models for player engagement, and collaborate with teams to deliver insights and solutions.

As a Partner Deployed Engineer, you will enable Global Systems Integrators to deploy and scale AI solutions, leading technical training and supporting complex integrations while building strong relationships with partners.

This role involves ensuring product quality for AI workflows through testing strategies, debugging, and building QA processes to enhance software performance.

Design and implement graph compiler optimizations (fusion, quantization, tiling) to convert TensorFlow/PyTorch models into IR, improve performance and hardware utilization, collaborate with ML researchers and hardware architects, and lead a team focused on compiler and code-generation improvements.

The Senior Full Stack Engineer will architect Java microservices, develop React components, automate tasks with Python, and enhance system reliability and observability while mentoring peers.

The role involves leading technical teams to develop high-quality software, mentoring engineers, and contributing to open source projects. Responsibilities include planning, execution, and enhancing the Linux user experience across various teams and technologies.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.