Top Python Developer Jobs in Pune

Develop, enhance, and maintain Python backend services and REST APIs, perform basic-to-moderate UI changes with Angular/React, debug and improve existing code, ensure testing and deployments, and communicate directly with clients to own tasks end-to-end.

Develop and maintain scalable Python/Django backend systems, integrate and deploy generative AI models (LLMs, embeddings, vector DBs), collaborate with data scientists on model fine-tuning, work with APIs, microservices and databases, optimize performance and security, and research emerging AI/ML tools.

Develop, test, and maintain high-performance Python backend applications. Build and consume RESTful APIs, work with SQL/NoSQL databases, process data, and implement/optimize machine learning models for production. Collaborate with cross-functional teams, write clean scalable code, and troubleshoot/debug applications.

Work on Provakil's legal data infrastructure: build data retrieval and processing pipelines, design schemas, extract metadata, and scale backend systems using Python and modern databases. Collaborate with stakeholders to improve software quality and deliver reliable data solutions.

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.

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 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.

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 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.

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.

Develop, test, and maintain Python-based software and data pipelines; design scalable applications; collaborate on feature delivery; participate in code reviews; integrate, debug, and prioritize features to support machine learning and backend systems.

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

Python Developers will design and evaluate software engineering tasks, including bug fixing and feature development, while reviewing peer submissions for quality.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Lead design and delivery of scalable Python backend and AI platforms. Architect microservices, integrate LLMs and vector retrieval, build AI workflows, optimize data pipelines with Databricks and SQL, lead cloud deployments on Azure/AWS, mentor engineering teams, and collaborate with product and data science to productionize Generative and Agentic AI solutions.

Develop, debug, and maintain Python 3 code for serverless AWS services (Lambda, S3, SQS, SAM). Build HTTP APIs and event-driven systems, work with relational databases, use CI/CD, Git/GitHub, Jira/Confluence, and apply TDD/BDD while collaborating with remote teams across time zones.

Develop and maintain Python-based solutions for generative AI and NLP tasks, including LLM fine-tuning, prompt engineering, embeddings, vector DBs, REST APIs, Docker, and cloud deployments using PyTorch/TensorFlow/JAX and frameworks like Hugging Face, LangChain, or OpenAI.

Develop and maintain web applications using React.js front end and Python back end, build/consume RESTful APIs, deploy and manage services on Azure, collaborate with designers and engineers, participate in code reviews, debugging, and agile development to deliver scalable user-friendly solutions.

Develop and maintain scalable web applications using Python and React.js, optimize APIs, manage applications on AWS and GCP, and ensure code quality through best practices.

Design and build scalable Python microservices and APIs that power an automated code modernization and migration platform. Develop production-ready backend services, interact with MCP services/tools, support agentic workflows and LLM-driven systems, and contribute to agentic architecture decisions.

Develop, test and maintain Python backend applications; build and integrate RESTful APIs; work with SQL/NoSQL databases; implement and optimize machine-learning models for production (preferred); collaborate with cross-functional teams; troubleshoot and debug applications.

Develop, implement and support low-latency trading algorithms and analytics (multi-leg spreads, baskets, market making, VWAP, participation) within the FlexStrategy Server framework. Collaborate with clients and SMEs, enhance back-testing, perform developer and regression testing, produce documentation, and provide client support and installations.

As a QA Automation Engineer, you'll work with the latest technologies to enhance software quality through automation, particularly using Playwright and Python.

Design, develop, and maintain scalable Python backend applications and APIs. Collaborate with frontend, DevOps, and product teams. Write reusable, testable code, optimize for performance and security, integrate third-party services, implement automated tests, perform debugging and code reviews, and document systems.