Top Python Developer Jobs in Delhi

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.

Lead architecture and development of cloud-native, containerized microservices. Build event-driven backends, gRPC/REST APIs, and telemetry pipelines using graph and time-series databases. Integrate AI/ML models into data pipelines and deploy applications with Docker and Kubernetes.

Design, build, and maintain scalable test automation frameworks and CI/CD-integrated test suites for carrier-grade network systems. Apply AI/ML for intelligent test generation, anomaly detection, and predictive analysis. Analyze test/network data, develop visualization tools, collaborate with development and QA teams, and contribute to test strategy, reviews, and documentation to improve quality and delivery velocity.

Design and develop C/C++ modules for embedded systems, focusing on FPGA programming, device drivers, and network protocols in a Linux environment while mentoring teams.

Design and develop SAC analytics applications and dashboards, build governed data models in SAP Datasphere, integrate varied data sources (including HANA), apply predictive features and scripting (SQL/Python/JavaScript), optimize performance, document BusinessObjects universes/reports, and provide technical leadership and Agile delivery for enterprise analytics use cases.

Lead design and implementation of automation and chaos-testing frameworks for distributed database reliability. Build scalable CI tests, simulate failure modes, uncover data corruption/consistency bugs, collaborate with engineering, and mentor junior engineers to ensure production-quality YugabyteDB features.

Lead Binance's Generative Engine Optimization (GEO) to maximize citation authority across major LLMs. Build llms.txt, structured data, and knowledge graph signals, create measurement and attribution frameworks, run prompt testing and citation audits, analyze log/query data for crawler behavior, and translate gaps into prioritized content and technical requirements across Content, Tech, and Data teams.

Configure, customize, and maintain the inRiver PIM platform; design data models, taxonomies, and workflows; manage imports/exports and integrations; troubleshoot and optimize performance; train and support users; collaborate with cross-functional teams to define PIM solutions.

Successful candidates will design, build, test, and maintain applications for clients while receiving training and support in technology roles.

Successful candidates will undergo a 6-12 week training program and then work on designing and maintaining technology solutions for client companies while receiving ongoing support and training.

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.

Lead SEO strategy and account management for multiple clients, focusing on technical SEO, semantic optimization, AI/GEO/LLM-driven search, content and on-page improvements, automation workflows, link-building, and performance reporting using SEO and AI tools to drive measurable organic growth.

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

The AI Engineer will develop and deploy advanced AI solutions focusing on generative capabilities, build context-aware AI agents, collaborate on data management, optimize AI model performance, and stay updated with AI advancements.

Analyze large transaction datasets to produce cleansed inputs for M&A models and financial analyses (QoE, NWC, cash flows). Use data management (Alteryx, Hadoop, SQL), statistical tools (SPSS, Minitab) and programming (Python, R) to identify trends, risks, and opportunities. Translate findings into clear recommendations for due diligence and deal lifecycle decisions, leveraging analytics platforms (SAS, Azure) and presenting insights to clients and internal teams.

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.

The Senior Data Scientist & Engineer will build and manage data infrastructure, analyze product usage, build models, track metrics, run experiments, and communicate insights to guide product decisions.

Senior technical leader responsible for designing, building, and scaling cloud-native data platforms and pipelines. Partners with stakeholders, mentors engineers, enforces engineering best practices, ensures data modeling, governance, and quality, debugs production issues, and contributes to architecture, design, and Agile delivery to support business outcomes.

Design and implement quantitative trading and market-making strategies for on-chain and cross-chain markets. Build signal generation, simulation, execution, and attribution frameworks. Partner with protocol engineering to productionize research, monitor performance, and identify monetization opportunities across Defuse's intent-driven liquidity platform.

Develop and execute validation and verification test plans for Solid State Transfer Switch products. Perform functional, electrical, thermal, environmental, endurance, reliability, and safety testing. Design test procedures, fixtures, automation scripts, and data acquisition systems. Coordinate certification testing, analyze failures, perform root cause analysis, prepare reports, support prototype/FAT/customer witness testing, ensure lab equipment calibration, and mentor junior staff.