Top Python Developer Jobs in Mumbai

Develop modular, efficient Python applications for portfolio analytics and client-facing solutions. Scope and deliver strategic technology projects, collaborate with stakeholders, and stay current with tools and finance platforms to improve business efficiency.

Lead infrastructure engineering for a quantitative technology stack: provision and manage AWS resources, implement CI/CD, automate infrastructure with Terraform and Python, operate Kubernetes/EKS and Docker, monitor environments, support developers and ETL processes, mentor junior engineers, address security/compliance, and apply enterprise-authorized AI practices to improve resiliency and automation.

Lead design, develop, and operate scalable microservices on AWS using Java/Scala/Python. Own end-to-end feature delivery, write technical designs, mentor engineers, collaborate with global stakeholders, and drive engineering best practices and reliability.

Lead an agile team to design, build, and maintain secure, scalable production software. Drive adoption of AI-assisted engineering practices, improve automation and operational stability, evaluate vendor solutions, mentor engineers, and champion reusable patterns and secure development across the SDLC.

Lead backend development using Python to build low-latency, high-availability systems. Implement OCR solutions, integrate multiple data sources and databases, develop Web/REST APIs, ensure security and data protection, write reusable/testable code, unit test and debug, collaborate with frontend and business teams, and work independently to deliver solutions.

Lead and deliver cloud-native, microservices-based full-stack applications; write and review high-quality secure code; integrate and govern AI/ML/LLM tools; drive CI/CD, automation, resiliency, and best practices; mentor engineers and promote responsible, enterprise-approved AI-assisted development.

Design, build, and operate LLM-driven, cloud-native ML applications using Python. Collaborate with Data Science, Cybersecurity, and DevOps to deploy scalable, secure microservices on Azure/AWS using Kubernetes, Airflow, Terraform, and enterprise AI-assisted tools. Develop production-quality code, troubleshoot, optimize performance, and ensure responsible AI practices and secure handling of data.

Lead technical design and delivery of low‑latency, high‑throughput real‑time Risk/PnL UIs and backend services. Build distributed microservices and event-driven pipelines, integrate APIs with robust error handling and state management, drive observability and production excellence, and champion enterprise-authorized AI-assisted engineering and secure SDLC practices.

Lead development and operational stability of production systems: drive incident response and RCA, build automation and diagnostic tooling with Python and SQL/PLSQL, adopt AI-assisted engineering practices, design self-service operational tooling, evaluate vendors, and lead engineering communities of practice.

Lead design, development, and delivery of secure, scalable software within an agile team. Produce and review production-quality Python code, drive AI-assisted engineering practices, improve automation and operational stability, evaluate vendor architectures, and coach engineering teams on responsible AI, cloud-native patterns, CI/CD, and security.

Design, develop, and maintain software components and validation frameworks. Create and execute test plans, identify and track defects, support automation and regression testing, collaborate with stakeholders, monitor application behavior, and contribute to QA standards using tools like Git and test automation frameworks.

Design, build, and maintain scalable backend and full-stack systems; integrate AI capabilities (RAG, LLMs, vector search) into applications; collaborate across teams, participate in architecture and system design, resolve performance and reliability issues, write testable code, and improve development processes and tooling.

Develop and maintain FastAPI-based SCIM integrations and adapters to automate user provisioning. Implement CRUD handlers, browser automation with Playwright, write tests with pytest, log with async SQLAlchemy/Postgres, troubleshoot vendor changes, collaborate on onboarding, and follow Git/version-control best practices.

Design, build, and maintain scalable Python backend services using AWS (Lambda, EC2, S3, DynamoDB, API Gateway). Develop RESTful APIs, optimize performance, collaborate on CI/CD and deployment automation, use IaC (CloudFormation/Terraform), containerize with Docker and orchestration (ECS/EKS), mentor junior developers, and participate in agile processes.

Develop and maintain Python backend components, design and optimize SQL for large datasets, perform ETL, integrate front-end and third-party services, troubleshoot applications and databases, ensure data quality and security, participate in code reviews, and produce technical documentation.

Develop and maintain backend applications using Python and Django. Architect and implement microservices, migrate monolithic systems to microservices, build RESTful APIs, optimize performance and security, collaborate with DevOps/frontend/QA, and troubleshoot production issues.

Develop and maintain scalable backend systems with Python (Django/Flask), build responsive front ends with React or Angular, integrate AI/ML components, ensure performance and security, participate in architecture and code reviews, and collaborate with cross-functional Agile teams.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

Build, test, and maintain scalable, high-performance Python services for the healthcare domain. Write clean code, optimize performance and security, debug issues, collaborate with product owners, and document technical solutions.

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

Design and build scalable systems, data pipelines, and full‑stack applications to validate product quality and produce KPI reporting. Integrate AI-driven features (RAG, agents, semantic search), automate statistical analysis, support CI/CD, conduct code reviews, and collaborate in Agile teams to translate business needs into technical solutions.

Lead design and delivery of enterprise data platform capabilities, building scalable ingestion, transformation and orchestration pipelines using Python, Airflow, Snowflake and dbt. Drive metadata, lineage, data quality, observability, and Agentic AI integrations; support production L2/L3 operations, CI/CD deployments, POCs, cross-functional integration, and mentor engineering teams within an Agile framework.

Develop, maintain, and improve Python applications; fix bugs; ensure data integrity and system efficiency; produce and maintain documentation; participate in Agile ceremonies; own tasks across the SDLC; collaborate with testers and business analysts; mentor junior team members. Oracle DB experience is a plus. On-site position in Mumbai (Malad) with short notice-period preference.

Seeking a Python Developer with 5+ years experience to build and maintain Python applications, collaborate with teams, and support ERP/BI-related projects. Multiple openings based in Mumbai; candidates must be able to work on-site and provide requested application details.

Develop and maintain simple Python scripts to support ERP/BI solutions. Participate in implementations, provide scripting support, and assist with client deliverables. On-site role in Mumbai.