Top Python Developer Jobs in Mumbai

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.

Leads software engineering delivery within an agile team, designing, developing, testing, debugging, and supporting secure, scalable applications. Establishes effective and responsible AI-assisted engineering practices, including code generation, review, testing, troubleshooting, and validation. Automates recurring remediation, improves operational stability, evaluates vendor and startup technologies, and contributes to AWS web application development, Java engineering, cloud deployments, DevOps, and machine learning or LLM integrations.

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.

Support capital reporting projects within investment banking by coordinating stakeholders, tracking milestones and risks, preparing status reports and committee packs, and maintaining business requirements documentation. Participate in requirements prioritization, scrum and release meetings, UAT planning, and project follow-ups. Apply knowledge of regulatory capital reporting, RWA, CVA, Basel programs, financial asset classes, SQL, Alteryx, Power BI, and banking data systems.

Validates HERE HD Map and Base Map products through functional, regression, manual, and automated testing. Develops test plans, cases, and datasets; validates geospatial data pipelines; analyzes results; and tracks defects. Collaborates with Product, Engineering, and QA teams to define scenarios, investigate inconsistencies, improve testing processes, and ensure product quality.

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.

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 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.

Build and support scalable healthcare data platforms, unified data models, datasets, and ad hoc data access solutions. Extract and integrate heterogeneous healthcare data, improve data quality, support acquisitions, and model data for BI, software applications, machine learning, and AI. Collaborate with product, engineering, business, and clinical stakeholders while following software development lifecycle best practices.

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, 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 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.

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 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 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 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.

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.

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.

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.

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.