Top Python Developer Jobs in Delhi

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.

The Manager I is responsible for managing projects, people, and stakeholder relationships, ensuring quality and operational efficiency, while providing guidance and support to the team.

The Senior DevOps Engineer will automate, optimize cloud infrastructure, manage CI/CD pipelines, and ensure operational efficiency by collaborating with the engineering team.

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.

Lead and manage the Analytics Engineering team, contribute to backend data model, oversee SQL code quality, and ensure operational efficiency.

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.

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

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.

The Lead Cloud Engineer will oversee the design and operation of AWS infrastructure, ensuring high availability and scalability while mentoring a team in operational excellence and cloud architecture standards.

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.

Design and optimize prompts for AI systems, evaluate model performance, collaborate with teams on machine learning strategies, and document best practices.

Design and maintain scalable backend services using Go. Collaborate with cross-functional teams, mentor junior engineers, and manage production systems.

Develop trading strategies for cryptocurrency markets, enhance high-performance trading systems, and collaborate with traders on market opportunities.

The Senior Product Analyst will work closely with engineering and product teams to identify data patterns, influence product strategy, and own the data lifecycle, focusing on AI's role in data management and analytics.

As a Senior Cybersecurity Engineer, you will design and maintain security controls, manage remote access, implement DLP strategies, and ensure compliance in a remote-first environment.