Top Python Developer Jobs in Mumbai

Leads development of AI-native software engineering systems using LLM-driven agents, multi-agent orchestration, RAG pipelines, and AWS services. Designs agent communication layers, integrates engineering toolchains, builds SDKs and data pipelines, and establishes automation, observability, governance, security, and validation standards for AI-assisted development. Provides technical leadership and mentorship while driving responsible adoption of AI tools across software delivery teams.

Develops secure, scalable Java and Spring Boot microservices and APIs, including design, testing, debugging, and operational stability. Builds AI agents and LLM-enabled engineering workflows using Copilot, Claude Code, and Python, with attention to guardrails, verification, sensitive data handling, and responsible AI. Applies Kubernetes, CI/CD, resiliency, security, and agile practices while contributing to production-grade software delivery and engineering productivity.

Develop and execute maintainable automated tests for acceptance, functional, and regression testing. Collaborate with engineering teams to diagnose defects, improve testing processes, and integrate testing into continuous integration. Apply software development, Agile, security, scalability, and testing practices while providing expertise in test planning and methodology. The role requires Java-based testing, Selenium, GitHub, web services testing, performance testing, and virtual machine experience.

Own backend and infrastructure architecture while developing Python and PHP services, APIs, authentication integrations, and database solutions. Design and maintain GCP infrastructure, Docker environments, CI/CD pipelines, monitoring, security, backups, and disaster recovery. Lead technical decisions, cloud optimization, incident response, documentation, and collaboration with frontend teams on headless CMS and SaaS deployments. Advise stakeholders on technical approaches, costs, risks, and estimates while mentoring engineers and supporting client-facing initiatives.

Develop and maintain Python-based automation applications that streamline business processes. Integrate RPA, APIs, AI-assisted coding, cloud services, databases, and React components. Collaborate with business and technical stakeholders, translate requirements into solutions, test and debug applications, validate AI-generated code, document implementations, and deliver multiple projects. Weekend release testing is required one or two times per quarter.

Develop, test, deploy, and support AI solution modules on GCP using Python, APIs, data pipelines, LLMs, RAG, voice, and document-processing services. Debug cloud deployments, write documentation and tests, and participate in client calls and demos under senior guidance.

Develop and maintain Python, SQL, and Bash data solutions for migrating and modernizing analytics platforms. Reverse engineer Sybase IQ and Informatica pipelines, build data processing workflows, validate data quality, automate engineering tasks, and use AI tools for development and testing. Collaborate with senior engineers and cross-functional teams to troubleshoot issues, document solutions, and support reliable delivery. The role requires working from the Gurugram or Mumbai office three to four days per week.

Design, develop, and maintain scalable Python backend applications, RESTful and GraphQL APIs, database systems, integrations, and asynchronous services. Deploy cloud-based services using Docker and CI/CD pipelines, write automated tests, participate in code reviews, contribute to technical architecture, and mentor junior developers. The role requires expertise in Python frameworks, SQL and NoSQL databases, authentication, cloud platforms, distributed systems, and asynchronous programming.

Lead development and migration of digital contact center solutions to Amazon Connect. Build chat, chatbot, SMS, email, and WhatsApp experiences; custom widgets and portals; secure APIs; CRM integrations; and GenAI capabilities using Amazon Bedrock and LLMs. Configure routing and flows, troubleshoot implementations, and ensure scalability, security, and compliance across customer engagement platforms.

Develop scalable Python applications and REST APIs; optimize database queries and schemas; implement security and data protection; debug technical issues; collaborate on solution design; mentor developers; delegate tasks; monitor performance; maintain client relationships; and ensure timely delivery of quality solutions.

Develop and maintain Python-driven RPA and UI automation solutions. Design automation frameworks, integrate RPA with custom applications, troubleshoot complex workflows, and optimize scripts for reliability, performance, and scalability. Collaborate with stakeholders to translate requirements into technical solutions. The role requires hybrid work in select Indian cities, an afternoon/evening IST shift supporting UK operations, short notice availability, detailed resume documentation, and technical validation.

Design, develop, test, deploy, and maintain scalable Python backend services and RESTful APIs using Flask and/or Django. Collaborate with product and engineering teams to translate requirements into technical solutions, participate in code reviews, troubleshoot issues, optimize performance, and ensure application reliability, security, and scalability. Work with databases, integrations, internal services, and development tooling while contributing to engineering best practices and continuous improvement.

Develop scalable AI-powered SaaS web applications across frontend and backend systems. Build React and TypeScript interfaces, Python services and REST APIs, database integrations, automated tests, and cloud-native deployments. Use Docker, Kubernetes, Terraform, Helm, and cloud platforms to manage infrastructure and releases. Collaborate with product, design, DevOps, and engineering teams while optimizing performance, reliability, security, and code quality.

Design, build, and maintain high-performance backend systems and scalable APIs using Python and FastAPI. Integrate AI-driven solutions (Generative/Agentic AI), work with Databricks and SQL/RDBMS, collaborate with cross-functional teams, optimize performance, and contribute to architecture and technical decisions.

Develop and maintain scalable Python backend services using FastAPI, RESTful APIs, WebSockets, MongoDB, AWS, and Docker. Build real-time features, deploy cloud applications, support CI/CD pipelines, integrate Studio APIs, and collaborate with frontend, product, and AI teams. Ensure application performance, security, scalability, and reliable system architecture.

Develop and maintain full-stack applications supporting capital markets, including trading systems, back-office platforms, APIs, ETL processes, dashboards, utilities, and workflow solutions. Responsibilities include full SDLC delivery, systems analysis, automation, RESTful development, cloud integration, scalable and highly available architecture, CI/CD, testing, and stakeholder collaboration. The role requires strong .NET, Python, cloud, database, containerization, microservices, and event-driven architecture experience, along with financial services knowledge.

Build and scale Python/FastAPI backend services for a multi-tenant SaaS platform. Design APIs for frontends, partners, and AI agents; integrate real-time and batch data systems; develop context APIs, prompt orchestration, and evaluation pipelines; and implement authentication, RBAC, tenant isolation, security, testing, and performance optimizations. Own backend development from design through production while collaborating with product, design, and LLM teams.

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.

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.