Top Python Developer Jobs in Delhi

Lead a Python development team to design, build, test, and deploy scalable applications and APIs. Provide technical leadership, mentor developers, enforce code quality and best practices, optimize performance, and collaborate with stakeholders. Architect and integrate internal and external APIs and contribute to technical strategy.

Lead L2/L3 production support and SRE activities for Manhattan WMOS, troubleshoot critical issues, design scalable WMS integrations, implement monitoring/alerting, manage vendors, run DR drills, and mentor engineers to ensure high availability and efficient warehouse operations.

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

Provide production support and maintain stability of MVS mainframe environments. Troubleshoot overnight batch jobs, perform root cause analysis for incidents, analyze complex mainframe programs, improve batch performance for SLA adherence, and collaborate with global cross-functional teams and business stakeholders.

Develop and maintain web applications using Java/J2EE and Angular. Design solutions, implement UI with HTML5/CSS/Bootstrap, integrate SOAP web services, support CI/CD (Jenkins/uDeploy), and collaborate in Agile cross-functional teams. Conduct design and analysis, write unit tests (JUnit/NUnit), and work on multiple initiatives.

Design and develop distributed systems and large-scale streaming data pipelines using cloud technologies (AWS, Snowflake, Kafka). Build cloud-native, containerized applications (Kubernetes/OpenShift/EKS) and write maintainable code in Java/Scala/Python/Go. Communicate effectively and adapt to new languages and concepts.

Develop and maintain database-driven applications and ETL processes using PL/SQL and Informatica; schedule/manage jobs with Control-M; work with Python and PostgreSQL. Support Java/API integrations and AWS services as secondary responsibilities.

Design and build enterprise data solutions and data warehouses; develop ETL/ELT pipelines; perform data modeling for OLTP/OLAP and NoSQL; implement CI/CD, containerization, cloud services (AWS/Azure); analyze large and unstructured datasets; collaborate with cross-functional teams and mentor junior engineers.

Design and execute performance test strategies and scripts, monitor metrics and logs, triage defects, identify bottlenecks and tuning actions, administer Linux/AWS systems, build monitoring tools, participate in on-call support.

Lead and maintain Oracle databases on-premises and in AWS (RDS/EC2). Perform PL/SQL development, database performance tuning, backup/recovery, and automation; Python scripting is a plus.

Design, build and maintain cloud-oriented big data solutions for ingestion, processing, cleaning and exposition. Improve data quality, implement ETL and data-warehouse architectures, and collaborate with DDS/Data Foundation teams to ensure platform reliability.

Design, deploy, and maintain cloud infrastructure and CI/CD for production systems. Provide production support, automate tasks with scripting and IaC, manage Workday releases, implement microservices/APIs, ensure security and access management, and collaborate with development teams to improve reliability.

Design, build, and maintain AI platform and ML pipelines by assembling LLMs and agentic workflows, integrating assistants with systems, prototyping in low-code and code, writing tests and CI/CD, and iterating with stakeholders on domusAI, domiAI, domusDocs and multi-agent frameworks.

Perform ETL and data reconciliation testing including complex SQL creation, data comparison, and API testing. Design validation scenarios for data reconciliation. Python experience is a plus.

Senior QA responsible for automation and manual testing on Windows and macOS, designing and executing test cases, tracking and reporting bugs, and building E2E BDD/TDD test frameworks using Java/Selenium/TestNG and Python/PyWinAuto. Uses Git/Bitbucket, JIRA/XRay; supports API, mobile automation, performance testing and CI/CD integration.

Develop and maintain data pipelines and applications using Python and Pandas, apply OOP and data structures, write and optimize SQL, and communicate with stakeholders. Familiarity with Agile, DevOps/CI-CD tools (Jenkins, Git, Jira), AWS, web frameworks (Django/Flask), and Snowflake is a plus.

Design, build, and operate cloud-native infrastructure and APIs on AWS. Implement IaC, CI/CD, Kubernetes (including rehydration), observability, monitoring, and chaos testing. Automate with scripting, triage incidents, perform root-cause analysis, and provide on-call support while collaborating across teams.

Build and deploy production-grade generative AI applications: design multi-agent systems and LangGraph workflows, implement advanced RAG with vector DBs, fine-tune and host LLMs, develop scalable FastAPI backends, optimize latency/cost, and containerize services for production.

Drive QA automation initiatives as an SDET: design test strategy, create/maintain automated tests and scripts, execute smoke/regression tests, document defects, report metrics, liaise between business and development, and support test environments across .NET/web/API applications.

Design, build, and maintain scalable data ingestion and transformation pipelines (SQL Server and vendor APIs) in Databricks/Spark using Python and SQL. Ensure accuracy, lineage, observability, fault tolerance, and production operability of canonical accounting datasets; implement data quality checks and troubleshoot failures.

Senior software engineer responsible for automation and scripting across AWS (CLI/SDKs, Boto3), Groovy, CI/CD pipelines, CloudFormation, ML automation, and hands-on AWS services (EC2, S3, RDS, Lambda). Database background is a plus.

Design, develop, and maintain automated validation suites across web, mainframe, API, desktop, file, and email workflows. Build and enhance automation frameworks, integrate LLM/GenAI capabilities for test generation and failure analysis, and validate core banking and payments functionality. Collaborate in Agile/Scrum environments, owning test architecture and automation delivery.

Perform and lead performance testing of web applications and APIs using tools like LoadRunner, JMeter, and Akamai Cloud Test. Design tests, monitor systems, analyze logs, troubleshoot bottlenecks, and document findings. Collaborate with architects and Agile teams; scripting and cloud experience are preferred.

Provide 2nd-level production support and troubleshooting for enterprise web applications, gather performance metrics, perform deployments and server builds, participate in on-call rotations, identify process improvements, evaluate tooling, and oversee small projects.

Design, implement, and optimize Apache DolphinScheduler workflows and ETL pipelines. Integrate with Hadoop, Spark, Flink, Hive, and Kafka. Develop custom plugins, troubleshoot performance and scalability issues, monitor job execution and resource allocation, and maintain CI/CD, version control, and infrastructure automation while collaborating with data engineers and DevOps teams.