Top Python Developer Jobs in Pune

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

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.

Operate and scale Kubernetes (EKS) clusters, maintain cloud infrastructure across providers, build CI/CD pipelines (GitHub Actions, ArgoCD), automate provisioning with Terraform and Python, manage incidents and post-mortems, and collaborate with developers to ensure reliable, cost-efficient, and secure deployments.

Lead end-to-end QA for backend platforms: investigate and reproduce issues, design and run exploratory/manual tests, build and maintain Python/Bash test automation, evaluate coverage gaps, and produce test plans, cases, reports, and summaries to ensure scalability, stability, and performance.

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.

Lead integration testing for high-performance backend systems: design test scenarios, develop and maintain Python-based automated scripts, integrate tests into CI, execute and analyze results, investigate root causes, and improve automation framework scalability and coverage.

Join the Trading Engine team to develop and maintain client-facing open-source libraries, act as an SME for REST and WebSocket trading APIs, and work directly with large clients to design and optimize trading algorithms and integrations.

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).

Develop Python-based APIs (FastAPI), design and maintain backend services on AWS (EC2, S3, Lambda, RDS), manage relational databases and SQL performance tuning, and work within an Agile development environment.

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).

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.

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 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.

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 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.