Top Python Developer Jobs in Delhi

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.

The Data Engineer role involves designing and maintaining data pipelines, ensuring data quality, integrating data sources, and collaborating across teams to enhance BitGo's data infrastructure.

The Senior SRE Engineer will ensure the reliability of microservices, manage incidents, and collaborate on automation, security, and infrastructure projects while participating in a 24/7 on-call rotation.

The Senior SRE Engineer will monitor and enhance microservices, own incident response, improve infrastructure, and develop in Java, ensuring system reliability and automation.

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.

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.

As a Senior Data Analyst, you will perform research, data analysis, and reporting to support business strategies and client needs while collaborating with various teams.

As a Data Scientist, you will analyze and model data to optimize machine learning systems, such as dynamic pricing and trip dispatching. Your role includes conducting exploratory data analysis, deploying ML applications, and collaborating across teams to improve solutions.

The Customer Support Engineer is responsible for diagnosing and resolving technical issues, advocating for customers, and collaborating with internal teams to ensure high-quality support and customer satisfaction.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.

Lead the development of a data platform using Apache technologies, optimize distributed data systems, and contribute to the open-source community by driving project direction and enhancing functionality.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The role involves overseeing data science projects, mentoring team members, and developing solutions using machine learning and data technologies, while ensuring alignment with client requirements.

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 Lead SDET role involves leading QA initiatives, developing automation frameworks, mentoring teams, ensuring performance, scalability, and driving quality across products.

As a Data Engineer, you'll develop data pipelines, automate processes, and collaborate with teams to enhance data management and analytics for national security. You'll analyze raw data, manage data platforms, and engage with clients.

The DevOps Engineer will design CI/CD pipelines, manage cloud infrastructure, integrate security protocols, and collaborate in Agile environments to enhance security practices.

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.

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.

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.

Provide data-driven insight and measurement for growth and ABM: analyse multi-source datasets, develop account prioritisation models, design and evaluate A/B and multivariate tests, define KPIs, quantify ROI, and present clear recommendations to Growth, Marketing, Sales and Data stakeholders.