Top Python Developer Jobs in Mumbai

Lead design and deliver production-grade agentic AI systems (LLM orchestration, RAG, vector DBs, multi-agent setups). Develop secure, high-quality Python code, drive cloud-native deployments on AWS, CI/CD automation, and platform stability. Mentor teams, promote AI-assisted engineering practices, translate business/regulatory needs into technical designs, and guide adoption of responsible AI and validation standards across cross-functional squads.

Lead technical design and delivery of low‑latency, high‑throughput real‑time Risk/PnL UIs and backend services. Build distributed microservices and event-driven pipelines, integrate APIs with robust error handling and state management, drive observability and production excellence, and champion enterprise-authorized AI-assisted engineering and secure SDLC practices.

Lead development and operational stability of production systems: drive incident response and RCA, build automation and diagnostic tooling with Python and SQL/PLSQL, adopt AI-assisted engineering practices, design self-service operational tooling, evaluate vendors, and lead engineering communities of practice.

Design, develop, and maintain software components and validation frameworks. Create and execute test plans, identify and track defects, support automation and regression testing, collaborate with stakeholders, monitor application behavior, and contribute to QA standards using tools like Git and test automation frameworks.

Lead design, build, and maintain secure, scalable software systems; write and review production-quality Python code; drive adoption and safe use of enterprise AI-assisted engineering tools; improve automation, resiliency, and operational stability; evaluate vendors and lead engineering communities of practice within Commercial and Investment Banking.

As a Python Developer, you will develop fullstack applications, manage backend systems, and collaborate to drive technical solutions that impact business results.

Lead design, development, and operation of scalable microservices on AWS using Java/Scala/Python. Own end-to-end feature delivery, produce technical designs, mentor peers, and drive engineering best practices. Collaborate with global stakeholders and use data-driven decisions to recommend architectural changes.

Lead design and delivery of enterprise data platform capabilities, building scalable ingestion, transformation and orchestration pipelines using Python, Airflow, Snowflake and dbt. Drive metadata, lineage, data quality, observability, and Agentic AI integrations; support production L2/L3 operations, CI/CD deployments, POCs, cross-functional integration, and mentor engineering teams within an Agile framework.

Design and deliver production-grade AI and Generative AI platforms by building scalable Python backend systems, deploying and scaling ML models, defining cloud-native architecture, implementing containerization and orchestration, ensuring data integrity across SQL/NoSQL stores, and providing observability and technical leadership on client-facing projects.

Design, develop, and optimize Python-based backend microservices; integrate AI/ML models with production systems; containerize and orchestrate applications; manage PostgreSQL and MongoDB databases; implement IaC with Terraform/Helm; deploy on cloud platforms and maintain CI/CD pipelines while collaborating with cross-functional teams.

Develop and maintain backend systems that calculate index rebalancing and asset selection. Implement business requirements, write code and tests in Python and JavaScript, update database schemas, troubleshoot performance and production issues, perform unit and API testing, and collaborate with global teams to support releases.

Build scalable Python backend services and REST APIs, develop intelligent agents and automation workflows, integrate data science models, implement data pipelines, containerize and deploy using Docker/Kubernetes, and ensure code quality with testing.

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.

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

Design, develop, and maintain cloud-native full-stack applications using Python and microservices. Build REST APIs, UI with React/Node.js, containerize with Docker, orchestrate with Kubernetes, implement CI/CD, write unit/integration tests, and collaborate with cross-functional teams to ensure scalability, security, and reliability.

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.

Develop scalable Python backend services and secure APIs while designing and maintaining automated UI and backend testing frameworks. Integrate tests into CI/CD pipelines, support unit through end-to-end testing, identify and track defects, and contribute to code reviews and quality standards. The role bridges software development and quality assurance in an Agile/Scrum environment.

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.

Python Developers will design and evaluate software engineering tasks, including bug fixing and feature development, while reviewing peer submissions for quality.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Develop, maintain, and improve Python applications; fix bugs; ensure data integrity and system efficiency; produce and maintain documentation; participate in Agile ceremonies; own tasks across the SDLC; collaborate with testers and business analysts; mentor junior team members. Oracle DB experience is a plus. On-site position in Mumbai (Malad) with short notice-period preference.

Develop and maintain software using Java/J2EE and Python with strong core Java (collections, threading, OOP) and Spring experience. Work with databases, cross-platform (Windows/Linux) environments, unit/regression testing, automated deployments and code reviews. Analyze and design systems, track multiple deliverables, and optionally work on web applications and rules engines (Drools).

Develop and maintain Java/J2EE and Python applications using core Java concepts (collections, threading, OOP) and Spring. Design data models and work with databases, perform unit and regression testing, automated deployment, and code reviews. Cross-platform (Windows/Linux) development; analyze, design and track multiple deliverables. Web application experience and rules engine (Drools) experience are beneficial.

Seeking a Python Developer with 5+ years experience to build and maintain Python applications, collaborate with teams, and support ERP/BI-related projects. Multiple openings based in Mumbai; candidates must be able to work on-site and provide requested application details.