Top Python Developer Jobs in Mumbai

The role involves software development in Python, focusing on Gen AI projects, collaborating with technical teams to develop and enhance products.

Design and develop cloud-native applications using Python, implement CI/CD pipelines, and collaborate with teams for high-performance solutions in semiconductor technology.

Full-stack developer building and maintaining applications using VueJS, Django, and Python. Work on data warehousing projects in the payments domain, collaborate with cross-functional teams, follow SDLC and ticketing workflows, and deliver across full project lifecycles under deadlines.

Build and optimize scalable, low-latency backend systems for algorithmic trading: exchange integrations (REST, WebSockets, FIX), order management, execution engines, FastAPI APIs, message queues, monitoring, and distributed, fault-tolerant architectures. Collaborate with quants and business teams and ensure security and compliance.

Design, build, and optimize low-latency, high-performance Python backend systems for trading platforms. Implement and support quantitative trading strategies, collaborate with quant and trading teams, and ensure scalable, multithreaded APIs and infrastructure.

Design, build, and maintain scalable Python-based data pipelines and backend services. Use OOP principles, orchestrate workflows with Apache Airflow, and model/optimize data in Snowflake. Implement data validation and quality checks, monitor and troubleshoot pipeline performance, collaborate with analysts and data scientists, and document data workflows and architecture.

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.

The Senior Python Developer - Tech Lead will lead backend initiatives, design scalable systems, mentor engineers, and ensure effective deployment and performance.

As a Fullstack Engineer, you'll manage backend and frontend projects, integrate algorithms, create user-friendly infographics, and troubleshoot issues.

The Data Quality Engineer will design data-testing frameworks, verify data accuracy, automate validation processes, and collaborate with teams to ensure quality in financial data solutions.

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

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.

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 software solutions for a data ingestion platform, leading a small team, ensuring best practices, and designing complex systems.

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 role involves managing a team of developers, designing and deploying scalable applications on Cloud platforms, and maintaining CI/CD pipelines while ensuring effective communication and improvement of engineering metrics.

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

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.

The Python Automation Engineer is responsible for QA automation utilizing Python, focusing on functional and UI testing, and collaborating in Agile environments.

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.

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.

Develop high-quality engineering solutions for Merch Tech tools, build workflows and APIs for merchants, and ensure fast iteration and ownership.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

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 maintain scalable applications using Python and React. Develop backend services on AWS, support contact center integrations, and implement CI/CD pipelines.