Top Python Developer Jobs in Mumbai

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.

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.

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

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

Build and maintain production backend services and APIs to serve sports intelligence products and model outputs; design API contracts, ensure scalability and performance, integrate with data platforms and model serving layers, implement monitoring/observability, and write well-tested code while contributing to architecture and operational handover.

Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.

Lead design and delivery of scalable Python backend and AI platforms. Architect microservices, integrate LLMs and vector retrieval, build AI workflows, optimize data pipelines with Databricks and SQL, lead cloud deployments on Azure/AWS, mentor engineering teams, and collaborate with product and data science to productionize Generative and Agentic AI solutions.

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 Python-based APIs (FastAPI), work with core AWS services (EC2, S3, Lambda, RDS), manage relational databases and SQL performance tuning, and collaborate in an Agile environment.

Senior software engineer responsible for automation and scripting across AWS (CLI/SDKs, Boto3), Groovy, CI/CD pipelines, CloudFormation, ML automation, and hands-on AWS services (EC2, S3, RDS, Lambda). Database background is a plus.

Perform data migration/refresh from production, support Python-based data refresh framework, run post-migration fixes, validate and reconcile data, monitor and resolve batch jobs and pipeline issues, perform performance checks, and coordinate with dependent teams.

Develop and maintain backend systems using Python on AWS. Implement infrastructure-as-code with Terraform/OpenTofu. Build and manage CI/CD pipelines with Jenkins and Git. Work with or support frontend/services in Angular, Java, or NodeJS as needed.

Build and maintain RESTful APIs using Python and Flask. Deploy and operate applications on AWS (CloudFormation, Lambda, EC2, S3, IAM, KMS, CloudWatch). Containerize services with Docker and deploy to Kubernetes (EKS). Implement CI/CD using Jenkins, integrate code quality tools (Sonar) and source control (GitHub).

Design, develop, and optimize ELT/ETL pipelines and data models using SQL, Python, and cloud services (AWS). Enable cloud data movement to Snowflake, perform SQL performance tuning, support code migrations, and collaborate in agile, distributed teams to deliver analytics-ready data solutions.

Build and maintain cloud-based data pipelines and ETL/ELT processes using Python, SQL, and Unix; design and optimize data warehouse solutions on Snowflake and cloud platforms; manage CI/CD pipelines; and produce dashboards and reports with Power BI to support analytics and business insights.

Develop backend solutions using Python and SQL, leveraging libraries like Pandas. Apply object-oriented design and data structures. Collaborate and communicate effectively; familiarity with Agile, DevOps/CI-CD, AWS, web frameworks, and Snowflake is desirable.

Develop and maintain Python-based APIs (FastAPI), work with AWS services (EC2, S3, Lambda, RDS), manage relational databases using SQL and performance tuning, and collaborate in an Agile development environment.

Design, develop, and coordinate end-to-end solutions with architects and tech leads. Support product release activities (development, QA, deployment), installation and post-install support. Troubleshoot, perform unit testing, support UAT, and document. Build solutions using PL/SQL, Snowflake, Python, AWS, Control-M, serverless frameworks, and relational databases.

Develop and maintain backend services using Python and Go, automate configuration with Ansible, implement CI/CD with Jenkins, deploy on Linux/Windows, use Dev Assist tools (GitHub Copilot), work in Agile/DevOps environments, and apply testing frameworks (unit/integration/TDD).

QA Engineer responsible for ETL testing using SQL/PLSQL and ETL tools. Requires Python and basic cloud knowledge. Automation/UI testing (e.g., Playwright) is a plus.

Full-stack developer (6-9 years) building Angular front-ends and Python back-ends, designing and integrating REST APIs, and managing SQL databases. Collaborate on API development, deployment, and cloud/containerization (AWS/Kubernetes preferred).

Develop, test, and maintain Python-based automation solutions. Participate across the software development lifecycle, collaborate with cross-functional teams, and write clean, reusable code. Use Python frameworks and Unix shell scripting to automate processes and deliver scalable solutions.

Design and build Python-based microservices and REST APIs using FastAPI. Deploy and operate services on AWS (EC2, S3, Lambda, RDS) with secure networking (VPC, IAM). Containerize and orchestrate workloads with Kubernetes and manage YAML manifests. Implement data flows with Apache NiFi, build CI/CD pipelines (Jenkins, Git, Kompass), optimize relational DBs with SQL, and deliver features in an Agile environment.

Develop Python-based APIs (FastAPI), design and maintain backend services on AWS (EC2, S3, Lambda, RDS), manage relational databases and SQL performance tuning, and work within an Agile development environment.

Design, build and operate scalable cloud-friendly full‑stack systems using Python, Go and JavaScript. Develop RESTful services, CI/CD pipelines, automation (Chef/Ansible), and deploy on AWS. Work in Agile/DevOps teams, apply testing practices (unit, integration, TDD), and collaborate across environments (Linux/Windows).