Top Python Developer Jobs in Mumbai

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.

Senior software engineer responsible for building automation using Shell, Python, and Go; implementing Jenkins CI/CD pipelines; working with AWS/Azure cloud platforms; upholding engineering excellence; and applying GenAI/RAG concepts for code generation, incident response, troubleshooting, and knowledge management.

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 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.

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.

The role involves utilizing your coding skills to guide team members and develop solutions for client challenges, enhancing overall success.

The Associate Staff Engineer will leverage their coding knowledge and collaborate with teammates to solve client challenges and enhance solutions.

The Staff Engineer, Python will leverage tech knowledge to guide teams, solve client challenges, and enhance solutions for significant impact.

Develop and deploy scalable GenAI applications, optimize LLMs, and collaborate with teams while mentoring junior developers.

The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.

Design, train, and productionize state-of-the-art object detection systems. Build robust training pipelines, perform error analysis and ablations, optimize inference for latency and memory, and deliver production services with Docker, CI/CD, and APIs. Implement testing, monitoring, model versioning, and retraining pipelines. Rapidly prototype research ideas into deployable components and maintain clear technical documentation.

Design, build, and scale cloud-native Python backend services and data-backed applications. Develop RESTful APIs, microservices, and asynchronous event-driven systems. Deploy and operate production workloads on Kubernetes and at least one public cloud (AWS or Azure). Work with cloud data warehouses (Snowflake or Databricks) and relational databases, ensuring scalable, reliable distributed systems.

As a Senior Software Engineer, you will lead the design and implementation of backend systems, manage a team, and ensure software performance and scalability in AI-driven applications.

Build and maintain Python/FastAPI backend services and React frontends, design and consume REST APIs, work with relational databases, and implement/debug AI-enabled features including vector DBs, embeddings, semantic search, and RAG workflows. Improve existing codebases, collaborate with product and design, participate in testing, deployment, and monitoring, and ensure performance, security, and maintainability.