Top Python Developer Jobs in Pune

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.

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.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG applications using Python and AWS Bedrock. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions through AWS, Docker, and Kubernetes, and manage CI/CD. Design databases and automated ETL pipelines, collaborate with cross-functional teams, document workflows, and communicate AI concepts to stakeholders.

Develop cloud-based data solutions on Microsoft Azure for varied business use cases. Participate in architecture, analysis, design, development, implementation, testing, and Agile delivery. Provide technical expertise across project phases using Azure Data Factory, Functions, Logic Apps, Service Bus, SQL Database, Databricks, Python, and JavaScript. Collaborate with project teams and customer stakeholders while working independently. Preferred experience includes additional databases, Azure services, identity platforms, SharePoint, Okta, and Azure certifications.

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.

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

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, 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.

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.

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.

Build and maintain end-to-end web applications using Python, modern JavaScript frameworks, and SQL databases. Develop APIs and responsive UIs, optimize database and application performance, implement testing and code reviews, manage deployments and CI/CD, monitor reliability and costs, troubleshoot production issues, and apply security and observability best practices.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical and product teams.

Develop and maintain scalable, secure, and reusable Python backend services using AWS cloud services and microservices architecture. Design infrastructure as code, work with relational and NoSQL databases, manage Linux-based systems, and use Git for version control. Participate across the software development lifecycle, including requirements analysis, testing, deployment, infrastructure management, troubleshooting, debugging, and performance optimization. Collaborate with cross-functional teams while independently managing project components.

Develop scalable Python backend applications and RESTful APIs using FastAPI, Django, or Flask. Design AWS serverless, event-driven, cloud-native systems using services such as Lambda, API Gateway, Step Functions, EventBridge, Cognito, S3, RDS, and DynamoDB. Integrate AI APIs and AI-powered features, optimize service performance and reliability, and collaborate independently with cross-functional teams in a remote environment.

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.