Top Python Developer Jobs in Delhi

Full Stack Engineer responsible for frontend (JavaScript, Angular, TypeScript, Node.js) and backend (Java, Python, Node.js) development. Work on Linux/Windows servers, AWS, CI/CD (Jenkins, GitHub, Terraform), databases, logging, containers (Docker, EKS), WebSphere/Tomcat, serverless, and IBM MQ integrations.

Provide platform and monitoring support (Splunk, NNMi, DxNetOps, SaaS tools) to maximize uptime; develop automation/config management scripts (Python, Ansible); build and optimize production systems; collaborate with developers and network engineering; schedule maintenance; resolve JIRA/sprint stories; provide on-call support and participate in Agile ceremonies.

Develop and maintain frontend and middle-tier components for large-scale data processing systems. Design, code, test, and deploy scalable distributed systems using cloud (AWS), stream processing, messaging, databases, and CI/CD. Work across full stack, assist support/maintenance, follow Agile practices, and deliver prototypes and production-ready solutions.

Performance engineer responsible for developing and maintaining automated test tools for electronic trading systems. Design, develop, document, and maintain optimized automated test scripts; support application deployment and environment design; analyze volume and latency using big-data techniques; collaborate with global cross-functional teams and follow agile practices.

Full-stack software engineer role building and maintaining web applications and services. Work spans front-end (Angular, JavaScript/TypeScript), back-end (Java, Python, Node), cloud-native deployment on AWS (EKS, Serverless, Docker), CI/CD, infrastructure as code, databases, monitoring, and messaging systems.

Design, build, and maintain scalable Atlassian platform solutions (Jira, JSM, Confluence); translate business requirements into configurations, automations, and dashboards; integrate tools via APIs and scripting; document architecture; ensure platform stability and governance; engage stakeholders and advise on platform strategy.

Mainframe developer responsible for converting, auditing, validating, reconciling and loading SPS plan conversion data. Work includes requirement analysis, development in COBOL/DB2/JCL/VSAM/REXX/Python, peer review, testing, and close collaboration with project stakeholders.

Develop backend solutions using Python and SQL, leveraging libraries like Pandas. Apply object-oriented design and data structures. Collaborate and communicate effectively; familiarity with Agile, DevOps/CI-CD, AWS, web frameworks, and Snowflake is desirable.

Design, configure, and support backend software and APIs; manage configuration files and environments; test and document API endpoints; collaborate on system data flow; participate in large-scale live data migrations (billions of records) into FinCloud; produce documentation and troubleshooting guides; work in agile teams and support integration and observability efforts.

Senior SDET responsible for ETL/Big Data manual and automation testing, validating data migrations between SQL/Oracle and modern databases (Snowflake/Postgres), building automation frameworks to compare APIs, JSON/files and RDBMS, writing SQL/Python/PySpark tests, implementing CI/CD pipelines, and working with AWS S3, Minio, Airflow, Tableau/SuperSet and Jira. Financial domain experience preferred.

Develop and maintain Python-based APIs (FastAPI), work with AWS services (EC2, S3, Lambda, RDS), manage relational databases using SQL and performance tuning, and collaborate in an Agile development environment.

Perform backend API functional testing and automation for microservices-based systems. Develop and run test scripts, debug using Kibana/ELK/Splunk, own end-to-end delivery from requirements through reporting, and take responsibility for country/feature launches.

Design and implement end-to-end machine learning solutions: analyze use cases, build statistical and ML models, prepare and enrich data, implement scalable PySpark models in Databricks, and collaborate with product and engineering to productionize analytics for personalization and business insights.

Design, build, and maintain enterprise Atlassian solutions. Configure workflows, automations, and integrations (APIs, scripting). Ensure platform stability, document architecture, and partner with stakeholders to drive governance and continuous improvement.

Design, develop, and coordinate end-to-end solutions with architects and tech leads. Support product release activities (development, QA, deployment), installation and post-install support. Troubleshoot, perform unit testing, support UAT, and document. Build solutions using PL/SQL, Snowflake, Python, AWS, Control-M, serverless frameworks, and relational databases.

Develop and maintain backend services using Python and Go, automate configuration with Ansible, implement CI/CD with Jenkins, deploy on Linux/Windows, use Dev Assist tools (GitHub Copilot), work in Agile/DevOps environments, and apply testing frameworks (unit/integration/TDD).

Lead cloud deployment and SRE initiatives for multi-region AWS EKS Kubernetes environments. Promote DevOps practices, automate CI/CD and IaC, mentor engineers, and maintain monitoring, logging, and scalable production infrastructure.

Design and implement Redis and Gemfire caching architectures, including clustering, replication, sharding, eviction policies, and synchronization. Create high- and low-level architecture documentation, optimize for scalability and performance, automate tasks with scripting, and collaborate with developers to ensure reliable, high-performance cache integration.

Build and automate data validation and reconciliation tests for ETL pipelines and data warehouses. Write and optimize complex SQL, investigate data discrepancies, design ETL test strategies, and implement automated testing frameworks to ensure data integrity.

Lead design and maintenance of test automation frameworks for microservices, focusing on API, contract, integration, end-to-end, performance, and CI/CD-integrated testing. Apply Domain-Driven Design to create test scenarios, mentor junior QA, track quality metrics, and collaborate with architects, DevOps, and product teams to ensure reliability and scalability.

Design, implement, and maintain IT infrastructure across cloud and on-premises. Develop automation scripts and Java-based utilities to streamline operations, support cloud provisioning and monitoring, collaborate on CI/CD and containerized deployments, ensure security and patching, and contribute to incident/change/problem management with an automation-first approach.

Configure, support, and optimize Adobe Customer Journey Analytics (CJA) implementations by integrating data sources, designing data views/metrics, validating ingestion and mappings, troubleshooting data quality, and partnering with cross-functional teams to enable reporting, dashboarding, QA/UAT, and platform maturity.

Design, build, and optimize end-to-end data pipelines for large structured and unstructured data. Implement near-real-time ETL, data validation, monitoring, and performance optimization. Collaborate with stakeholders, document designs and workflows, and provide technical guidance to the team.

Conduct consultative analytics and deliver executive-level recommendations and ad hoc analyses to business and finance partners. Build self-service dashboards and presentations, perform predictive modeling and time-series forecasting (preferably for workforce optimization), provide cost-benefit analyses for investments, and streamline processes while communicating insights to senior stakeholders.

Develop and maintain backend services using Java and Spring Boot, deploy and operate applications on AWS (EKS), implement CI/CD with Jenkins, and collaborate on frontend work with React/Angular and Python integrations.