Top Python Developer Jobs in Mumbai

Develops, tests, troubleshoots, and maintains secure, stable, scalable software within an agile Payments Technology team. The role involves Python and Java development, system design, SDLC execution, automation, cloud deployments, microservices, Terraform, AWS infrastructure, database development, application resiliency, and responsible use of AI-assisted engineering tools.

Leads end-to-end solution architecture and hands-on development across Java, Spring Boot, Python, APIs, distributed systems, data platforms, and AI/ML services. Defines high- and low-level designs, integration patterns, nonfunctional requirements, and production-readiness standards. Guides AI-assisted engineering practices, model productionization, MLOps, observability, security, resiliency, and responsible AI controls. Investigates performance and production issues while partnering with data science teams to deliver scalable, reliable services.

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 Python and React applications that enable data visualization, dataset sharing, automated code generation, and natural-language application development. Build APIs and web applications using AWS, databases, caching, and search technologies. Collaborate with researchers, analysts, portfolio managers, data scientists, and operations users while applying secure coding, testing, CI/CD, agile practices, and responsible AI-assisted development.

Designs, develops, and supports enterprise data platforms using Python, SQL, Airflow, dbt, Snowflake, cloud technologies, and modern data architectures. Responsibilities include building scalable pipelines and reusable frameworks, implementing metadata, lineage, governance, quality, and observability capabilities, integrating Agentic AI, supporting production operations, improving performance and reliability, leading technology evaluations, and mentoring engineers. The role also contributes to Agile delivery, testing, deployments, documentation, demonstrations, and cross-functional platform modernization initiatives.

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.

Develop and deploy scalable full-stack web applications using Python REST APIs and modern front-end technologies. Responsibilities include building user interfaces with React or Next JS and Tailwind CSS, developing backend services, working with databases, and potentially using background workers, schedulers, containers, and orchestration platforms. The role requires collaboration with the development team, strong problem-solving skills, and attention to detail.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

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.

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.

Design, develop, and optimize Python backend services, REST APIs, microservices, scalable data pipelines, ETL workflows, and relational databases. Build dashboards with Plotly Dash, integrate Scikit-learn models into production, and establish automated testing with Pytest. The role also involves architectural improvements, performance optimization, code reviews, mentoring, and promoting software development best practices across engineering teams.

Build, operate, and scale enterprise web applications using Python and React.js. Develop REST and GraphQL APIs, asynchronous processing, responsive interfaces, database queries, automated tests, and CI/CD workflows. Own features end to end, improve architecture and observability, modernize legacy systems, resolve outages, reduce technical debt, and mentor engineers. Collaborate with Product and Design in a remote, pod-based organization while leveraging AI coding agents.

Develop and optimize Python backend services, microservices, and data-centric applications for AI-powered SaaS products. Integrate and optimize AI/ML models, manage PostgreSQL and MongoDB databases, and deploy applications using Docker, Kubernetes, Terraform, and Helm. Work across GCP, AWS, and Azure with CI/CD pipelines, testing, and artifact management. Collaborate with DevOps, data scientists, and data engineers while contributing to frontend and overall software architecture and mentoring engineering teams.

Build and own scalable AI and Generative AI platforms using Python, microservices, cloud infrastructure, and machine learning models. Design backend architecture, deploy and optimize ML systems, manage Kubernetes and Terraform-based infrastructure, maintain databases and observability platforms, and lead production reliability practices. The role also involves technical leadership, mentoring, architecture decisions, incident response, and translating client requirements into robust technical solutions.

Develop, test, maintain, and optimize scalable applications using React, React.js, and Python or .NET. Collaborate with cross-functional teams on system integration, architecture, debugging, documentation, and coding best practices. Evaluate emerging technologies and apply AI tools, including generative and agentic AI, to enhance application functionality.

Develop scalable, high-performance backend applications using Python. Responsibilities include Core Python and object-oriented programming, functional programming, multithreading, multiprocessing, asynchronous development, REST API creation and integration, SQL query optimization, Apache Spark distributed processing, debugging, performance tuning, and problem-solving.

Develop scalable full-stack web applications and AI-powered solutions using ReactJS, Python, FastAPI, PostgreSQL, APIs, cloud platforms, LLMs, RAG pipelines, and AI agents. Responsibilities include designing frontend and backend systems, optimizing databases, integrating internal and third-party APIs, deploying secure cloud applications, and following testing, code quality, security, and CI/CD best practices.

Develop and maintain Python applications, APIs, workers, integrations, and AWS Lambda functions. Manage AWS and Linux environments, infrastructure automation, deployments, CI/CD pipelines, and production support. Improve reliability through monitoring, canary releases, rollback, and recovery practices. Maintain databases, messaging, authentication, security, dependencies, and external integrations. Apply AI-assisted development tools with human review and security validation. The role requires ownership of software delivery from application code through production.

Develop and maintain scalable Python data pipelines, ETL processes, workflow automation, and dataset integrations. Ensure data quality, validation, performance, and production reliability while supporting analytics and machine learning teams. Work with databases, cloud data services, APIs, orchestration tools, and deployment platforms to deliver clean, production-ready data solutions.

Develop and maintain scalable, multi-process Python software for IT monitoring. Responsibilities include refining requirements, implementing features in Python, PHP, and MySQL, troubleshooting performance issues, writing unit tests, reviewing code, demonstrating functionality, and contributing to reliable, high-performance systems. The role also involves working with Product Management and applying CI/CD, DevOps, Agile, and software lifecycle practices.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG solutions using Python and AWS Bedrock. Build REST APIs and microservices with FastAPI or Flask, deploy scalable cloud infrastructure, manage containerized workloads, and develop data pipelines and ETL processes. Work with relational and NoSQL databases, CI/CD, and AWS services while collaborating with technical and product teams and documenting AI workflows.

Develop and maintain Python-based API data ingestion services for GCP. Build secure, scalable, fault-tolerant pipelines with authentication, incremental loading, validation, reconciliation, orchestration, monitoring, and alerting. Manage data quality, PII masking, CI/CD, production troubleshooting, performance optimization, SLAs, data contracts, technical designs, mappings, and operational documentation. Collaborate with stakeholders to define support models and ensure reliable ingestion from internal and external APIs.

Develop high-performance core applications that collect and move large volumes of data. Own features and modules across the development lifecycle, building enterprise-grade, server-side, multithreaded, asynchronous, cloud-scale systems. Responsibilities include SQL performance programming, database design, and collaboration across remote teams using Scrum and Agile methodologies. Cybersecurity, SaaS integrations, data modeling, and ontology experience are advantageous.

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.

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.