Top Python Developer Jobs in Pune

Develop high-quality software solutions, ensuring code scalability and performance while collaborating with cross-functional teams. Lead technical decision-making and contribute to operational effectiveness while promoting risk management and governance standards.

Seeking a Node.js + Python engineer with experience in backend services, REST APIs, and automation. Collaborate with teams to deliver features and troubleshoot issues.

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 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.

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 Python applications, collaborate with teams, write clean code, troubleshoot, participate in code reviews, and stay updated on industry trends.

As a Full Stack Developer, design and maintain web applications using JavaScript frameworks, develop APIs, collaborate in Agile teams, and mentor junior staff.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.

Lead design and implementation of scalable data engineering and analytics platforms; build and deploy predictive models and GenAI solutions; mentor engineers; drive data governance, CI/CD, and cross-functional initiatives with finance and business stakeholders.

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.

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 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 operationalize scalable enterprise cloud services using Python (or Java/NodeJS/Ruby), FastAPI/Django, React/TypeScript, GraphQL, event-driven and streaming architectures. Lead CI/CD, Terraform modules, performance testing, release management, and safe LLM/GenAI integrations while advising management and enforcing responsible AI practices.

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

Design, develop, and improve full stack applications utilizing Python and React. Collaborate across teams to ensure seamless integration. Lead projects and manage risk.

Responsible for developing and maintaining web applications using React and Python, collaborating with teams to ensure project success.

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.

As a Senior Software Engineer, you will lead the design and implementation of backend systems, manage a team, and ensure software performance and scalability in AI-driven applications.

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.

As a Staff Software Engineer, you will design, develop, and maintain data store components, collaborating with teams to create efficient solutions using tools like Golang and Kubernetes in a hybrid work environment.

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.

Build and maintain Python/FastAPI backend services and React frontends, design and consume REST APIs, work with relational databases, and implement/debug AI-enabled features including vector DBs, embeddings, semantic search, and RAG workflows. Improve existing codebases, collaborate with product and design, participate in testing, deployment, and monitoring, and ensure performance, security, and maintainability.