Top Python Developer Jobs in Pune

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 web applications using React.js front end and Python back end, build/consume RESTful APIs, deploy and manage services on Azure, collaborate with designers and engineers, participate in code reviews, debugging, and agile development to deliver scalable user-friendly solutions.

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.

Develop cloud-native applications in Python using OOP. Leverage Python ML libraries (NumPy, Pandas, scikit-learn, TensorFlow) and AWS services (S3, RDS, CloudFormation, SNS, SQS, Step Functions, EventBridge, CloudWatch).

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 optimize ELT/ETL pipelines and data models using SQL, Python, and cloud services (AWS). Enable cloud data movement to Snowflake, perform SQL performance tuning, support code migrations, and collaborate in agile, distributed teams to deliver analytics-ready data solutions.

Build and maintain cloud-based data pipelines and ETL/ELT processes using Python, SQL, and Unix; design and optimize data warehouse solutions on Snowflake and cloud platforms; manage CI/CD pipelines; and produce dashboards and reports with Power BI to support analytics and business insights.

Develop and maintain frontend and middle-tier components for large-scale data processing systems. Design, code, test, and deploy scalable distributed systems using cloud (AWS), stream processing, messaging, databases, and CI/CD. Work across full stack, assist support/maintenance, follow Agile practices, and deliver prototypes and production-ready solutions.

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.

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

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).

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.

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 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.

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.

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.

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.

The role involves utilizing your coding skills to guide team members and develop solutions for client challenges, enhancing overall success.

The Associate Staff Engineer will leverage their coding knowledge and collaborate with teammates to solve client challenges and enhance solutions.

The Staff Engineer, Python will leverage tech knowledge to guide teams, solve client challenges, and enhance solutions for significant impact.

Lead architecture and delivery of production-grade GenAI full‑stack solutions using Python and React. Design scalable LLM inference, RAG and agent pipelines, integrate cloud/on‑prem deployments, enforce security/governance, drive CI/CD and QA, mentor teams, and translate business needs into technical strategy and reusable AI platforms.

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 scale cloud-native Python backend services and data-backed applications. Develop RESTful APIs, microservices, and asynchronous event-driven systems. Deploy and operate production workloads on Kubernetes and at least one public cloud (AWS or Azure). Work with cloud data warehouses (Snowflake or Databricks) and relational databases, ensuring scalable, reliable distributed systems.

Design, train, and productionize state-of-the-art object detection systems. Build robust training pipelines, perform error analysis and ablations, optimize inference for latency and memory, and deliver production services with Docker, CI/CD, and APIs. Implement testing, monitoring, model versioning, and retraining pipelines. Rapidly prototype research ideas into deployable components and maintain clear technical documentation.