Top Python Developer Jobs in Mumbai

Develop and maintain Python applications: fix bugs, improve data integrity and system efficiency, produce documentation, participate in Agile ceremonies, own tasks across the SDLC, mentor juniors, and collaborate with testers and business analysts.

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.

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.

Develop and maintain simple Python scripts to support ERP/BI solutions. Participate in implementations, provide scripting support, and assist with client deliverables. On-site role in Mumbai.

Senior GIS Data Engineer responsible for developing and maintaining geospatial datasets and data pipelines. Build, run, and optimize ETL workflows (batch to flow), transform and integrate spatial data using FME/ArcGIS/Python/SQL, ensure data quality, provide GIS consultancy, and collaborate cross-functionally to deliver scalable mapping solutions and improve processes.

Seeking a Node.js + Python engineer with experience in backend services, REST APIs, and automation. Collaborate with teams to deliver features and troubleshoot issues.

Design and deliver AI/ML and Generative AI solutions for banking platforms by developing AI models, data pipelines, and integrating AI capabilities into enterprise systems.

Lead backend development using Python to build low-latency, high-availability systems. Implement OCR solutions, integrate multiple data sources and databases, develop Web/REST APIs, ensure security and data protection, write reusable/testable code, unit test and debug, collaborate with frontend and business teams, and work independently to deliver solutions.

Develop and maintain Python applications, collaborate with teams, write clean code, troubleshoot, participate in code reviews, and stay updated on industry trends.

As a Full Stack Developer, design and maintain web applications using JavaScript frameworks, develop APIs, collaborate in Agile teams, and mentor junior staff.

Develop and maintain backend applications using Python and Django. Architect and implement microservices, migrate monolithic systems to microservices, build RESTful APIs, optimize performance and security, collaborate with DevOps/frontend/QA, and troubleshoot production issues.

Design, build, and maintain scalable Python backend services using AWS (Lambda, EC2, S3, DynamoDB, API Gateway). Develop RESTful APIs, optimize performance, collaborate on CI/CD and deployment automation, use IaC (CloudFormation/Terraform), containerize with Docker and orchestration (ECS/EKS), mentor junior developers, and participate in agile processes.

Develop and maintain Python backend components, design and optimize SQL for large datasets, perform ETL, integrate front-end and third-party services, troubleshoot applications and databases, ensure data quality and security, participate in code reviews, and produce technical documentation.

Develop and maintain scalable backend systems with Python (Django/Flask), build responsive front ends with React or Angular, integrate AI/ML components, ensure performance and security, participate in architecture and code reviews, and collaborate with cross-functional Agile teams.

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

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.

Design and deliver scalable AI and Generative AI backend platforms integrating LLMs and ML models with cloud-native services. Build and ship Python-based microservices, manage containerization and orchestration, deploy and optimize models, maintain cloud infrastructure (Terraform/Helm), ensure database performance, and establish monitoring and observability while providing technical leadership on client engagements.

Design, develop, and optimize Python-based back-end services and microservices; integrate and deploy AI/ML models; manage containerized applications with Docker/Kubernetes; maintain PostgreSQL and MongoDB databases; use Terraform/Helm for IaC; work with cloud platforms (GCP/AWS/Azure) and CI/CD; collaborate with DevOps, data scientists, and engineers.

Design, develop, and maintain full-stack web applications using Java and Python with React. Collaborate on features, conduct code reviews, and troubleshoot issues.

Responsible for developing and maintaining web applications using React and Python, collaborating with teams to ensure project success.

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

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

Design, build, and deploy agentic LLM-based solutions: develop Python backends and React/Next.js frontends, implement prompt engineering, RAG/vector search, and enterprise integrations (SAP, SharePoint, Microsoft Graph, relational DBs). Ensure secure, scalable deployments with SSO, CI/CD, containerization, and collaborate with stakeholders while maintaining documentation and monitoring.

The role involves managing data operations, automating processes, monitoring data pipelines, and maintaining operational documentation within QRT.