Top Python Developer Jobs in Delhi

As a Python Developer, you will develop fullstack applications, manage backend systems, and collaborate to drive technical solutions that impact business results.

As a Senior Site Reliability Engineer, you will execute, automate, and improve Dedicated Geo migrations, enhance operational processes, and ensure system reliability at scale while collaborating with various teams.

As a Senior Customer Engineer, you manage technical relations, design solutions, deploy AI workflows, mentor peers, and ensure system integration for enterprise clients.

As a QA Engineer in DevOps, you will test and analyze requirements, write test cases, debug environments, and investigate customer scenarios.

Lead design and delivery of agentic LLM-powered workflows and autonomous agents across GTM systems (Salesforce, Slack). Build RAG/semantic search, orchestration, vector retrieval, evaluation frameworks, CI/CD, and secure AI integrations. Mentor engineers, replace legacy integrations, enforce AI engineering standards, and implement observability, governance, and automation for production-grade enterprise AI.

Technical leader designing and implementing scalable, fault-tolerant backend microservices and Agentic AI systems. Leads architecture, cloud infrastructure, data strategies, incident response, testing, and mentorship to deliver production-grade high-throughput solutions.

Lead technical operations for Magnite in India, focusing on integrations, optimisation, and strategy while guiding clients and stakeholders on ad tech solutions.

The Sr. Staff Integration Engineer will onboard cybersecurity data sources, normalize security data, troubleshoot pipeline health, and communicate with stakeholders to enhance product integration and performance.

The Senior Sales Engineer at LogicMonitor partners with Sales to provide technical solutions, deliver presentations, mentor peers, and promote the use of AI tools, ensuring technical excellence and collaboration within the team.

The role involves cleaning data, running machine learning models, developing data models, managing datasets, building dashboards, and documenting requirements.

The Alteryx Developer will design and maintain workflows, integrate Alteryx with SQL databases, develop automation scripts, implement controls for regulatory reporting, and train teams on using Alteryx for analytics.

As an AVP - Finance Data Quality, you will support data services for Finance regarding compliance and risk management, collaborate with IT and business stakeholders, and document data processes.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

The role involves managing data pipelines in cybersecurity, collaborating with teams to implement solutions, and troubleshooting issues efficiently using Python and SQL.

Design, build, test, and deploy smart contracts and decentralized applications. Maintain blockchain integrations and backend services, optimize for security and gas efficiency, contribute to architecture and technical strategy, conduct code reviews, mentor junior engineers, and collaborate with product, frontend, and security teams.

The job involves delivering finance automation solutions, debugging Python code, ensuring reliable deployments, and collaborating with stakeholders to meet operational standards.

As a Senior Site Reliability Engineer, you will enhance system reliability, automate infrastructure, mentor engineers, and implement observability practices.

As a POD Lead, you'll oversee data migration projects, utilizing Agile and Scrum methodologies, while leveraging your data expertise to drive transformation in financial services.

The Data Analyst role involves defining source data, mapping data sets, reporting inconsistencies, assisting with data migrations, and managing stakeholder expectations. A focus on optimal solutions and strong communication skills in a banking context is essential.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The Principal AI Systems Engineer will architect, build, and own AI systems, develop production-grade AI pipelines, and ensure reliability through evaluation and governance.

The role involves designing and implementing integrations for a platform, collaborating with teams, and developing reusable connectors and packages for third-party systems using web services or custom code.

Build and maintain AWS serverless applications and data pipelines using Python and Node.js, implement authentication via Cognito and Lambda triggers, develop REST/GraphQL APIs and React frontends, author IaC with Terraform/CloudFormation, integrate CI/CD, ensure security/compliance, and support integrations such as webhooks and event streams.

The Staff Software Engineer will develop backend services for Tide's agentic platform, ensuring robust integration with AI and other systems, while contributing to scalable product design and engineering standards.

As a Data Engineer, you will analyze and enrich structured and unstructured data, enhance data quality, and develop insights for financial strategies.