Top Python Developer Jobs in Delhi

As a Sr. Data Engineer, you'll design and build data systems for analysis and machine learning, focusing on data ingestion, pipelines, and visualization. You'll work with cloud-based solutions, optimize data storage, and perform transformations using ETL/ELT processes.

The role involves building and integrating LLM-powered systems, requiring expertise in Python, agent frameworks, and modern API development.

Design, build, test, and deploy backend services and APIs using Go/Node, MongoDB/MySQL, WebSockets and webhooks. Ensure scalable, secure, CI/CD-driven systems on AWS and Linux, follow engineering best practices, and work in an Agile team environment.

Lead data-driven SEO strategy to improve rankings, organic traffic, and conversions. Perform keyword research, technical and on-page optimization, site architecture and page-speed improvements, monitor performance with SEO tools, fix indexing/structured data issues, collaborate with content and dev teams, and report insights to stakeholders.

Build and maintain merchant-facing payment products (onboarding, dashboards, checkout, transaction history). Develop payment APIs, integrate with banks/payment partners, design DB schemas for high-throughput transactions, use AI coding tools to accelerate development while validating AI-generated code, ship features end-to-end, and maintain production reliability.

Design, build, test, and deploy scalable backend services using Go (and Node.js), working with MySQL and MongoDB. Implement RESTful APIs, webhooks, and websockets, follow engineering best practices, use CI/CD and AWS, collaborate in Agile teams, and maintain code via Git on Linux environments.

Design, build, and maintain backend systems and RESTful APIs using Python/Django and Node/Express. Work with MySQL, Redis, Elasticsearch, RabbitMQ, and server tooling (Nginx, Docker, Kubernetes). Collaborate with frontend, product, and stakeholders to ensure scalability, security, and performance.

Design, develop, and maintain scalable web applications using Python and Django. Build and optimize RESTful APIs, collaborate with product and design teams, write clean reusable code, fix performance and security issues, participate in code reviews and testing, and support deployments and cloud-based operations.

Design, build, and deploy Gen-AI applications using Python and FastAPI; integrate LLMs with LangChain/Langraph and MCP for scalable model orchestration; optimize model performance, monitor production deployments, and collaborate with cross-functional teams.

Design, develop, and execute automated test scripts, perform regression and API/web/mobile testing, report and track defects, collaborate with product and engineering teams, and maintain and improve test automation frameworks and CI/CD-integrated testing processes.

Design, develop, and execute automated (Selenium, JUnit, TestNG) and manual test cases. Create and maintain test plans, test data, and regression/performance tests. Report defects, collaborate with developers, identify automation opportunities, and participate in Agile/Scrum ceremonies.

Lead development of agentic workflows and LLM systems, build LLM evaluation/tracing and prompt operations pipelines, integrate MCP-based systems, deploy and scale enterprise-grade AI/ML solutions, and collaborate with product and engineering teams.

The QA Engineer will be responsible for planning and executing software testing, writing test cases, bug filing, and maintaining testing documentation.

Design, build, and operate scalable automation-driven enterprise platforms focused on identity and access management. Implement integrations, IaC, CI/CD, zero-trust access, and secure architectures while collaborating with Security and cross-functional teams to improve reliability and reduce manual work.

As a Staff Site Reliability Engineer, you'll architect reliability platforms, lead incident response, mentor engineers, and advocate for SRE best practices to enhance system reliability and performance.

Develop high-quality engineering solutions for Merch Tech tools, build workflows and APIs for merchants, and ensure fast iteration and ownership.

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Develop and maintain Power BI dashboards, reports, KPI visualizations, and optimized data models. Write complex SQL, stored procedures, DAX measures, calculated columns, and Power Query transformations. Integrate multiple data sources, support ETL and data warehousing, ensure data accuracy and security, troubleshoot BI solutions, and collaborate with stakeholders to deliver analytical insights.

Leads industrial sustainability research focused on decarbonisation, alternative fuels, green hydrogen, biofuels, CCUS, and energy transitions. Develops material-energy balance, techno-economic, emissions, forecasting, and optimisation models; conducts research; publishes policy and technical outputs; manages projects and teams; and engages government, industry, R&D institutions, and international experts. The role supports multiple concurrent initiatives and requires strong communication, analytical, project management, and stakeholder engagement capabilities.

Conduct research and data analysis on industrial sustainability, decarbonisation, energy efficiency, green hydrogen, and low-carbon technologies. Build data resources and techno-economic feasibility models, track policy and technical developments, prepare reports, blogs, policy briefs, and presentations, and support stakeholder engagement with government, industry, and research institutions. The role also involves quantitative analysis, policy engagement, research networking, and periodic travel within India.

Leads applied quantitative and qualitative research on sustainable food systems, including econometric analysis, impact evaluation, survey design, fieldwork, literature reviews, stakeholder consultations, and research dissemination. The role manages projects independently, develops proposals and budgets, tracks policy and market developments, engages government and partner organizations, mentors junior researchers, and produces reports, policy briefs, publications, and outreach materials.

Conduct state-level power system modelling and quantitative analysis to assess renewable energy integration. Responsibilities include collecting and processing energy data, building GridPath simulation models, designing dispatch scenarios, analysing model outputs, conducting field visits, reviewing research, and developing policy insights, presentations, briefing notes, and reports. The consultant will also support stakeholder meetings and project implementation related to electricity generation, transmission, and power markets.

Leads research, policy engagement, and project implementation to scale distributed renewable energy across Indian states. Responsibilities include analyzing electricity markets, tariffs, regulations, and consumer behavior; developing policy and market solutions; engaging discoms, regulators, governments, developers, donors, and industry; managing projects and stakeholders; conducting quantitative analysis; and producing reports, policy briefs, presentations, and opinion pieces.

Lead industrial sustainability research focused on industrial decarbonisation, alternative fuels, green hydrogen, biofuels, CCUS, and energy transitions. Develop material-energy balance, techno-economic, emissions, forecasting, and energy optimisation models; conduct technology and market research; publish reports and policy materials; manage projects and teams; engage government, industry, research institutions, and international experts; and respond to short-turnaround analytical needs.