Top Python Developer Jobs in Pune

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.

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.

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.

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.

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.

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.

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.

Develop and deploy scalable GenAI applications, optimize LLMs, and collaborate with teams while mentoring junior developers.

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.

The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.

Develop and maintain scalable web applications using Python and React.js, optimize APIs, manage applications on AWS and GCP, and ensure code quality through best practices.

Develop, test and maintain Python backend applications; build and integrate RESTful APIs; work with SQL/NoSQL databases; implement and optimize machine-learning models for production (preferred); collaborate with cross-functional teams; troubleshoot and debug applications.

Develop, implement and support low-latency trading algorithms and analytics (multi-leg spreads, baskets, market making, VWAP, participation) within the FlexStrategy Server framework. Collaborate with clients and SMEs, enhance back-testing, perform developer and regression testing, produce documentation, and provide client support and installations.

Build and maintain Python/FastAPI backend services and React frontends, design and consume REST APIs, work with relational databases, and implement/debug AI-enabled features including vector DBs, embeddings, semantic search, and RAG workflows. Improve existing codebases, collaborate with product and design, participate in testing, deployment, and monitoring, and ensure performance, security, and maintainability.

As a QA Automation Engineer, you'll work with the latest technologies to enhance software quality through automation, particularly using Playwright and Python.

The Senior GenAI Engineer will develop and deploy Generative AI applications using Python and Azure, lead projects, mentor juniors, and stay innovative in AI trends.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

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.