Top Python Developer Jobs in Mumbai

Develop, debug, and maintain Python 3 code for serverless AWS services (Lambda, S3, SQS, SAM). Build HTTP APIs and event-driven systems, work with relational databases, use CI/CD, Git/GitHub, Jira/Confluence, and apply TDD/BDD while collaborating with remote teams across time zones.

Develop and maintain web applications using React.js front end and Python back end, build/consume RESTful APIs, deploy and manage services on Azure, collaborate with designers and engineers, participate in code reviews, debugging, and agile development to deliver scalable user-friendly solutions.

Senior SDET responsible for test automation using Selenium, writing automation in Java/Python, validating UI and RESTful APIs, creating complex SQL queries against Oracle, testing microservices, and integrating tests into CI/CD pipelines (Jenkins). Works in Agile teams and collaborates with DevOps.

Develop cloud-native applications in Python using OOP. Leverage Python ML libraries (NumPy, Pandas, scikit-learn, TensorFlow) and AWS services (S3, RDS, CloudFormation, SNS, SQS, Step Functions, EventBridge, CloudWatch).

Develop and maintain Python-based solutions for generative AI and NLP tasks, including LLM fine-tuning, prompt engineering, embeddings, vector DBs, REST APIs, Docker, and cloud deployments using PyTorch/TensorFlow/JAX and frameworks like Hugging Face, LangChain, or OpenAI.

Develop and maintain frontend and middle-tier components for large-scale data processing systems. Design, code, test, and deploy scalable distributed systems using cloud (AWS), stream processing, messaging, databases, and CI/CD. Work across full stack, assist support/maintenance, follow Agile practices, and deliver prototypes and production-ready solutions.

Design, develop, and maintain NestJS applications in an Agile/Scrum environment. Build front-end functionality with AngularJS and automate tasks with Python scripting. Implement AWS cloud solutions (SQS, Lambda, Kinesis), design versioned APIs and microservices, and work with PostgreSQL and NoSQL datastores. Employ DevOps, CI/CD and automated testing (Jenkins, Maven, uDeploy, Stash). Collaborate across global teams and mentor junior engineers.

Senior software engineer responsible for developing cloud-based solutions using AWS services (S3, Lambda, RDS, DMS, Kinesis, EC2), Python scripting, and SQL/Oracle PL/SQL. Role requires strong debugging and analytical skills and working knowledge of Agile methodologies. Nice-to-have experience includes CloudFormation, Glue, Step Functions, data migration, microservices, ETL tools, and Java REST web services.

Lead migration from on-premises Oracle to Snowflake. Design, optimize, and maintain complex SQL queries, build Python data pipelines, and use AWS services (Lambda, SNS, SQS, S3). Ensure data integrity, performance, and scalable cloud data solutions while collaborating across 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.

As a Software Engineer in Test, you will develop and maintain test automation frameworks, conduct manual and automated testing, collaborate with teams to resolve defects, and streamline automation processes within Agile teams.

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.

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

Lead architecture and delivery of production-grade GenAI full‑stack solutions using Python and React. Design scalable LLM inference, RAG and agent pipelines, integrate cloud/on‑prem deployments, enforce security/governance, drive CI/CD and QA, mentor teams, and translate business needs into technical strategy and reusable AI platforms.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

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.

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.

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

Develop and support secure IoT software applications, APIs, and UIs; build dashboards, ETL/data workflows, and analytics; enable ML/AI capabilities; maintain and modernize legacy code hosted on AWS.

Build and optimize core backend systems enabling user features, real-time data synchronization (event-driven/CDC), advanced caching and connection pooling, and improved observability. Drive architectural and infrastructure upgrades, own deployment and scaling strategies, contribute to open-source, and raise backend engineering standards across the platform.

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.

Full-stack developer building and maintaining applications using VueJS, Django, and Python. Work on data warehousing projects in the payments domain, collaborate with cross-functional teams, follow SDLC and ticketing workflows, and deliver across full project lifecycles under deadlines.

Build and optimize scalable, low-latency backend systems for algorithmic trading: exchange integrations (REST, WebSockets, FIX), order management, execution engines, FastAPI APIs, message queues, monitoring, and distributed, fault-tolerant architectures. Collaborate with quants and business teams and ensure security and compliance.