Top Python Developer Jobs in Pune

Develop realistic Python backend apps, REST APIs, microservices, and SaaS connectors to emulate platforms; build and validate long-horizon AI tasks and evaluation rubrics; perform backend testing, integration validation, and use Claude/AI coding agents throughout development.

The Senior GenAI Engineer will develop and deploy Generative AI applications using Python and Azure, lead projects, mentor juniors, and stay innovative in AI trends.

Design, deploy, and support workflow orchestration, automation, integrations, and deployment frameworks. Work with customers and internal teams to deliver scalable SaaS implementations, troubleshoot issues, and create documentation and reusable automation.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

Design and build scalable full-stack applications using Python or Java backends and Angular frontends. Develop microservices, implement CI/CD and DevOps practices, deploy to cloud platforms (GCP/Azure/AWS) using Docker and Kubernetes, debug and optimize code, and collaborate across teams to troubleshoot and improve distributed systems.

The Software Test Engineer II creates and maintains automated tests, collaborates with engineering teams for product quality, and troubleshoots bugs in a disciplined agile environment.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

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.

Develop cloud-based Python Django FinTech applications, design RESTful APIs, collaborate with frontend developers, and work in an agile team.

The Python QA Developer will create and maintain efficient code, design low-latency applications, and integrate frontend and backend systems while ensuring quality through testing and best practices.

The Python Automation Engineer is responsible for QA automation utilizing Python, focusing on functional and UI testing, and collaborating in Agile environments.

Lead architecture and roadmap for the reporting platform; own report generation, data ingestion, and query performance in Python/Django/ClickHouse. Drive design decisions, reduce production recurrence, improve data pipelines, maintain portals, build dashboards, mentor senior engineers, and collaborate with product and stakeholders.

Design and implement data federation and lakehouse architectures (Starburst/Trino), build scalable ETL/ELT pipelines using Python and Spark, optimize Spark and federated queries, manage Delta/Iceberg/Hudi tables, and enforce governance, access control, and data masking for analytics and AI use.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

Develop high-quality engineering solutions for Merch Tech tools, build workflows and APIs for merchants, and ensure fast iteration and ownership.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Senior Python developer (10+ years experience) responsible for hands-on Python development, setting up environments, using Pandas/NumPy and Excel-based frameworks, building/consuming REST APIs/JSON, troubleshooting legacy code, producing HLD and coding standards, performing code reviews, mentoring team members, handling client requirements, and supporting BFSI projects. Appian or KNIME experience is a plus.

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.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

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

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.