Top Python Developer Jobs in Mumbai

Lead design and deliver low-latency, high-throughput Python services and event-driven microservices for real-time Risk & PnL. Drive engineering standards, production excellence, observability, performance tuning, secure coding, and AI-assisted development adoption. Mentor engineers and collaborate with quant, trading, risk, and production teams to meet SLAs and operational readiness.

Develop and support full-stack, data-enabled applications using Python and FastAPI back ends, React front ends, Databricks data workflows, SQLite persistence, and SharePoint integrations. Responsibilities include API and UI development, data transformation, testing, documentation, CI/CD, deployment support, observability, troubleshooting, stakeholder collaboration, and secure, resilient solution delivery.

Develop and support full-stack, data-enabled applications using Python, FastAPI, React.js, Databricks, SQLite, and SharePoint. Build REST APIs, front-end components, data workflows, integrations, and persistence layers while contributing to testing, documentation, CI/CD, deployments, observability, troubleshooting, and secure coding. Collaborate with stakeholders to clarify requirements, estimate work, deliver iteratively, and maintain operational runbooks.

Develop and support full-stack, data-enabled applications using Python, FastAPI, React.js, Databricks, SQLite, and SharePoint. Responsibilities include building REST APIs and user interfaces, creating production data workflows, implementing persistence, writing tests, supporting deployments and observability, troubleshooting operational issues, collaborating with stakeholders, and maintaining technical documentation. The role requires strong software engineering fundamentals, secure coding practices, communication, and ownership of iterative delivery.

Develop and optimize Python back-end services, microservices, and data-centric applications for AI-powered SaaS solutions. Integrate and optimize AI/ML models, manage PostgreSQL and MongoDB databases, deploy containerized applications with Docker and Kubernetes, and manage cloud infrastructure using Terraform and Helm across GCP, AWS, and Azure. Collaborate with DevOps, data scientists, and data engineers while contributing to software architecture, testing, CI/CD, and engineering team mentorship.

Designs and delivers production-grade AI and Generative AI platforms using Python, distributed systems, microservices, and cloud-native technologies. Owns backend architecture, deploys and scales machine learning models, manages infrastructure with Terraform and Helm, and leads Docker and Kubernetes practices. Ensures database performance, observability, reliability, and incident response. Provides technical leadership on client engagements, mentors engineers, influences strategy, and translates business requirements into scalable technical solutions.

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.

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.

Develops tactical analytical tools and prototypes for Institutional Credit Management. Partners with front-office, technology, risk, finance, compliance, and middle-office teams to identify improvements, define requirements, address data-quality issues, build reporting solutions, and support governance, testing, releases, training, and adoption. The role also handles exploratory analysis, ad hoc data requests, workflow improvements, and strategic technology initiatives involving Python, SQL, AI, dashboards, and business analytics.

Principal Data Engineer responsible for developing and supporting Databricks pipelines, integrating heterogeneous healthcare data sources, modeling unified data products, and ensuring data quality and availability. The role partners with business stakeholders, product teams, data engineers, and clinical leaders to gather requirements, create datasets, support ad hoc analytics, enable machine learning and AI use cases, and assist with acquisition integrations. Extensive healthcare data, cloud, SQL, PySpark, and Python experience is required.

Develop and maintain scalable Python-based data pipelines, ETL processes, workflow automations, and dataset integrations. Ensure data quality, validation, performance, and integrity while deploying and monitoring production workflows. Collaborate with data engineers, analysts, stakeholders, and machine learning teams to provide reliable, production-ready data solutions. Work with databases, cloud data services, orchestration tools, APIs, and CI/CD practices.

Design and maintain scalable Python microservices, REST APIs, WebSockets, background jobs, and event-driven systems. Deploy AWS infrastructure using Terraform or AWS CDK, build CI/CD pipelines, optimize PostgreSQL, DynamoDB, and Redis data layers, and enforce secure authentication and access controls. Develop frontend features with React, Next.js, and TypeScript, while integrating AI/LLM capabilities, agentic frameworks, RAG workflows, and vector databases. Lead backend architecture and ensure quality through automated testing and LLM evaluations.

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.

Build and maintain secure, scalable, high-performance healthcare applications and services using Python and GCP. Responsibilities include designing, developing, testing, debugging, optimizing, and documenting software; implementing clean coding practices; troubleshooting technical issues; and collaborating with product owners and stakeholders. The role also involves GCP infrastructure-as-code with Terraform and may use healthcare interoperability standards, databases, containers, frontend technologies, and AI-assisted coding.

Develop and maintain enterprise AI products and intelligent agents using Python, JavaScript, SQL, REST APIs, AWS, and Docker. Responsibilities require advanced SQL schema design, performance tuning, stored procedures, object-oriented programming, API development, version control, and cloud-based software engineering. The role operates within globally distributed, remote-first delivery teams serving enterprise clients across multiple industries.

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.

Lead architecture and roadmap for the reporting platform; own report generation, data ingestion, and query performance in Python/Django/ClickHouse. Drive design decisions, reduce production recurrence, improve data pipelines, maintain portals, build dashboards, mentor senior engineers, and collaborate with product and stakeholders.

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 implement data federation and lakehouse architectures (Starburst/Trino), build scalable ETL/ELT pipelines using Python and Spark, optimize Spark and federated queries, manage Delta/Iceberg/Hudi tables, and enforce governance, access control, and data masking for analytics and AI use.

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

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical and product teams.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

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

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.