Top Python Developer Jobs in Pune

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.

Build and maintain Python backend services integrating LLMs into production workflows. Design scalable APIs, async workflows, prompt management, model routing, response validation, monitoring, and automation. Debug distributed systems, collaborate cross-functionally, and contribute to architecture and engineering best practices for AI systems.

Develop and enhance Panda3D-based 3D game simulations for AI training. Implement and maintain Python and C++ code, ensure cross-platform performance, use GitHub workflows, document architecture, and collaborate with teams through reviews and discussions.

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

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

The Senior Full Stack Engineer will develop, maintain, and improve scalable web applications using Python and React.js, lead engineering initiatives, and mentor junior engineers in an AI-led environment.

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

The role involves designing and maintaining scalable data-driven backend systems, focusing on API development, database management, and cloud deployments on Azure.

Lead architecture and delivery of AI-powered user-facing applications using Python and React. Design scalable backend platforms for LLM inference, RAG pipelines, and agent orchestration. Define frontend UX for conversational interfaces, establish GenAI best practices, build reusable platform components, ensure enterprise readiness (security, privacy, governance), and mentor engineering teams.

Develop and optimize Panda3D-based 3D simulations and interactive environments for AI training. Build and maintain Python and C++ codebases, collaborate with engineering and AI teams, manage code in GitHub, perform debugging, code reviews, documentation, and ensure performance and cross-platform compatibility.

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.

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.

Lead integration testing for high-performance backend systems: design and implement Python-based automated tests, integrate scenarios into CI, enhance automation framework and reporting, investigate root causes, and collaborate with developers and product managers to validate and stamp features for production.

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.

Senior software engineer responsible for developing cloud-based solutions using AWS services (S3, Lambda, RDS, DMS, Kinesis, EC2), Python scripting, and SQL/Oracle PL/SQL. Role requires strong debugging and analytical skills and working knowledge of Agile methodologies. Nice-to-have experience includes CloudFormation, Glue, Step Functions, data migration, microservices, ETL tools, and Java REST web services.

Develop, test, and maintain Python-based automation solutions. Participate across the software development lifecycle, collaborate with cross-functional teams, and write clean, reusable code. Use Python frameworks and Unix shell scripting to automate processes and deliver scalable solutions.

Full-stack developer (6-9 years) building Angular front-ends and Python back-ends, designing and integrating REST APIs, and managing SQL databases. Collaborate on API development, deployment, and cloud/containerization (AWS/Kubernetes preferred).

Design and build Python-based microservices and REST APIs using FastAPI. Deploy and operate services on AWS (EC2, S3, Lambda, RDS) with secure networking (VPC, IAM). Containerize and orchestrate workloads with Kubernetes and manage YAML manifests. Implement data flows with Apache NiFi, build CI/CD pipelines (Jenkins, Git, Kompass), optimize relational DBs with SQL, and deliver features in an Agile environment.

Lead migration from on-premises Oracle to Snowflake. Design, optimize, and maintain complex SQL queries, build Python data pipelines, and use AWS services (Lambda, SNS, SQS, S3). Ensure data integrity, performance, and scalable cloud data solutions while collaborating across teams.

Senior SDET responsible for test automation using Selenium, writing automation in Java/Python, validating UI and RESTful APIs, creating complex SQL queries against Oracle, testing microservices, and integrating tests into CI/CD pipelines (Jenkins). Works in Agile teams and collaborates with DevOps.

Design, build and operate scalable cloud-friendly full‑stack systems using Python, Go and JavaScript. Develop RESTful services, CI/CD pipelines, automation (Chef/Ansible), and deploy on AWS. Work in Agile/DevOps teams, apply testing practices (unit, integration, TDD), and collaborate across environments (Linux/Windows).