Top Python Developer Jobs in Delhi

Lead design, development, and delivery of scalable cloud-native applications using Java and Python. Collaborate with product, architecture, and DevOps teams, enforce security-by-design, mentor engineers, and ensure high-quality production releases.

Lead the architecture and engineering of a global identity fabric, focusing on seamless access management for users and identities without manual intervention.

Lead data analysis workstreams using large datasets and AWS analytics tools to define metrics, test hypotheses, perform root-cause analysis, produce insights and visualizations, and present actionable recommendations to stakeholders.

The role involves leading machine learning initiatives, designing solutions, and collaborating with stakeholders to enhance business value through data.

Architect, design, and develop cloud-native platform components and microservices on Azure. Build CI/CD and test automation, implement observability and monitoring, decompose monoliths using DDD, and lead/mentor engineering teams while collaborating across product teams.

Build and scale Snowflake-native AI execution layers and orchestrated agent workflows. Implement RAG, embedding pipelines, vector retrieval, context-routing, monitoring, and integrations with enterprise data using SQL, Python, and DBT. Ensure scalable, observable, and governed AI systems across the organization.

Design, build, and productionize internal AI-powered applications and workflows. Develop frontends, backend APIs, containerize and deploy via Snowflake SPCS, implement CI/CD, secure access, observability, and integrations with enterprise SaaS.

The Customer Support Engineer will resolve technical challenges for customers involving AI solutions, collaborating with internal teams to improve offerings and ensure customer satisfaction.

The RPA & Intelligent Automation Lead Consultant will lead automation initiatives using RPA and AI technologies, design solutions, mentor teams, and align automations with business strategies to enhance operational efficiency.

Lead Unqork development efforts: design, implement, and launch solutions using Unqork best practices. Provide technical direction, documentation, code reviews, mentoring, and collaborate with product and design teams to deliver secure, scalable, high-quality applications.

Prepare, clean, and validate structured and unstructured data for LLM-driven systems; build training datasets, support RAG and NL->SQL pipelines, perform data quality checks, and assist in data pipelines/APIs and model evaluation.

The Network Engineer will troubleshoot production networks, implement automation solutions, and manage routing protocols and enterprise-grade equipment.

Design, develop, and deploy production ML models; build feature pipelines; run experiments and A/B tests; monitor and maintain models; collaborate with engineers, product, and executives; mentor junior engineers and document models and processes.

Lead design and implementation of automated and chaos-style tests for distributed databases. Architect scalable test frameworks, execute stress/resiliency/performance suites, debug deep data-consistency issues, modernize CI/CD test pipelines, and mentor junior engineers while influencing product quality and feature design.

Lead the development of custody solutions for cryptocurrencies, mentor engineers, optimize transactions, and ensure security standards are met.

The role involves designing and developing Web3 infrastructure projects, writing both frontend and backend code, maintaining tests, and collaborating with teams to enhance technical solutions.

Design, build, and maintain the Android app, architect production modules, scope new features, manage projects, ensure app security, and mentor team members.

The Growth Marketing Engineer will manage technical user acquisition and marketing performance infrastructure, ensuring accurate tracking and enabling data-driven growth through analytics and experimentation. Key responsibilities include overseeing attribution frameworks, data quality, campaign experimentation, and tool integrations.

Lead sales operations and incentive compensation strategies for business growth, enhance performance through analytics, and manage stakeholder relationships.

Develop and manage AI-enabled full-stack applications, integrating AI models and APIs, while collaborating with teams and researching new technologies.

The SDET will test AI-based products, improve quality assurance processes, and provide feedback to enhance AI models. Responsibilities include manual and automation testing and API testing.

The Principal/Distinguished Engineer will lead the Inline CASB team in developing a high-performance CASB solution focused on traffic inspection, security, and application visibility while mentoring a top engineering team.

Build and scale core products focusing on backend systems, collaborating with founders and operating in a fast-paced environment.

Develop and optimize core APIs, manage performance bottlenecks, and modernize a large codebase while handling high-volume transactions.

The Data Architect - Annotation will manage data workflows, ensure data quality for AI systems, perform statistical analysis, and work closely with engineering teams to enhance annotation processes.