Top Python Developer Jobs in Pune

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.

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.

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.

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.

Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.

Lead design and delivery of scalable Python backend and AI platforms. Architect microservices, integrate LLMs and vector retrieval, build AI workflows, optimize data pipelines with Databricks and SQL, lead cloud deployments on Azure/AWS, mentor engineering teams, and collaborate with product and data science to productionize Generative and Agentic AI solutions.

Design, build, and maintain high-performance backend systems and scalable APIs using Python and FastAPI. Integrate AI-driven solutions (Generative/Agentic AI), work with Databricks and SQL/RDBMS, collaborate with cross-functional teams, optimize performance, and contribute to architecture and technical decisions.

Develop and maintain Python-based APIs (FastAPI), work with core AWS services (EC2, S3, Lambda, RDS), manage relational databases and SQL performance tuning, and collaborate in an Agile environment.

Perform data migration/refresh from production, support Python-based data refresh framework, run post-migration fixes, validate and reconcile data, monitor and resolve batch jobs and pipeline issues, perform performance checks, and coordinate with dependent teams.

Build and maintain RESTful APIs using Python and Flask. Deploy and operate applications on AWS (CloudFormation, Lambda, EC2, S3, IAM, KMS, CloudWatch). Containerize services with Docker and deploy to Kubernetes (EKS). Implement CI/CD using Jenkins, integrate code quality tools (Sonar) and source control (GitHub).

Develop backend solutions using Python and SQL, leveraging libraries like Pandas. Apply object-oriented design and data structures. Collaborate and communicate effectively; familiarity with Agile, DevOps/CI-CD, AWS, web frameworks, and Snowflake is desirable.

Design, develop, and coordinate end-to-end solutions with architects and tech leads. Support product release activities (development, QA, deployment), installation and post-install support. Troubleshoot, perform unit testing, support UAT, and document. Build solutions using PL/SQL, Snowflake, Python, AWS, Control-M, serverless frameworks, and relational databases.

Develop and maintain backend services using Python and Go, automate configuration with Ansible, implement CI/CD with Jenkins, deploy on Linux/Windows, use Dev Assist tools (GitHub Copilot), work in Agile/DevOps environments, and apply testing frameworks (unit/integration/TDD).

QA Engineer responsible for ETL testing using SQL/PLSQL and ETL tools. Requires Python and basic cloud knowledge. Automation/UI testing (e.g., Playwright) is a plus.

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.

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.

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).

Develop and maintain Python-based solutions for generative AI and NLP tasks, including LLM fine-tuning, prompt engineering, embeddings, vector DBs, REST APIs, Docker, and cloud deployments using PyTorch/TensorFlow/JAX and frameworks like Hugging Face, LangChain, or OpenAI.

Design, develop, and maintain NestJS applications in an Agile/Scrum environment. Build front-end functionality with AngularJS and automate tasks with Python scripting. Implement AWS cloud solutions (SQS, Lambda, Kinesis), design versioned APIs and microservices, and work with PostgreSQL and NoSQL datastores. Employ DevOps, CI/CD and automated testing (Jenkins, Maven, uDeploy, Stash). Collaborate across global teams and mentor junior engineers.

As a Software Engineer in Test, you will develop and maintain test automation frameworks, conduct manual and automated testing, collaborate with teams to resolve defects, and streamline automation processes within Agile teams.