Top Python Developer Jobs in Pune

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

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

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.

Design, develop and maintain production-grade Python services and cloud-native platforms on AWS and on-prem Kubernetes. Own application platform reliability, scalability, observability, incident response, and collaborate across teams to deliver secure, testable solutions and self-service platform capabilities.

Designs, builds, and optimizes enterprise-scale software systems and cloud platforms. Develops infrastructure as code with Terraform, automates infrastructure using scripting, and implements CI/CD pipelines. Applies DevSecOps and SRE practices, including monitoring, incident management, and performance tuning. Integrates generative AI into engineering workflows and leads architectural and technical decisions across AWS, Azure, and GCP environments while collaborating with stakeholders and technical teams.

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.

Leads the design, development, and optimization of secure enterprise software systems and cloud platforms. Oversees DevSecOps practices, infrastructure automation, CI/CD, IaC, cloud architecture, containerized and serverless deployments, monitoring, compliance, and SRE operations. Translates business needs into technical roadmaps, mentors engineering teams, and integrates generative AI into software and automation practices.

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 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.

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.

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.

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.

Develop and maintain full-stack applications using React and TypeScript on the frontend and Python with Flask on the backend. Build and manage RESTful APIs, work with PostgreSQL or MongoDB, and use AWS services and AWS CDK for cloud infrastructure. The role requires handling frontend and backend responsibilities in a remote environment. Supply chain, logistics, manufacturing, and physical-product software experience are bonus qualifications.

Design, develop, test, and maintain scalable production services, web applications, APIs, data pipelines, and distributed systems. Troubleshoot complex production issues, conduct code reviews, improve CI/CD and operational processes, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality, cloud-native software 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.

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.

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.

Develop scalable Python backend services and secure APIs while designing and maintaining automated UI and backend testing frameworks. Integrate tests into CI/CD pipelines, support unit through end-to-end testing, identify and track defects, and contribute to code reviews and quality standards. The role bridges software development and quality assurance in an Agile/Scrum environment.

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.

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

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