Top Python Developer Jobs in Pune

Develop secure, scalable full-stack applications using Java, Spring, REST APIs, frontend frameworks, cloud platforms, microservices, and databases. Collaborate with product owners and technical teams on architecture, Agile planning, coding, testing, deployment, and support. Work with Databricks, Spark, ETL pipelines, AI/ML services, containerization, CI/CD, and modern development tools while contributing to application design and user experience.

Creates and maintains automated tests for API, web, network, infrastructure, and database-backed applications. Develops test suites using Python or Ruby, integrates them into CI pipelines, investigates defects, verifies fixes, and supports release readiness. Collaborates with engineering teams on requirements, test strategies, documentation, quality standards, and troubleshooting in an agile environment.

Leads enterprise analytics and BI initiatives by architecting Power BI dashboards, standardizing KPIs, automating reporting, and analyzing complex datasets. Builds and deploys machine learning and generative AI solutions for forecasting, financial reporting, document insights, and chatbot support. Partners with finance, data engineering, and cross-functional teams to improve data governance, deliver strategic insights, mentor analysts, and promote data literacy.

Develop and support Python-based risk applications for global Risk Management Technology. Design, integrate, test, deploy, and troubleshoot solutions using Numerix services for PFE and other risk measures. Collaborate with quants, business users, project managers, and engineers to deliver scalable solutions, perform functional and regression testing, support production releases, and resolve issues. The role requires Python, SQL, cloud, software development lifecycle, and financial risk technology experience.

Leads development of scalable risk-management applications supporting counterparty credit risk analytics and PFE calculations. Partners with quants, business users, project managers, and developers to design, implement, test, deploy, and support solutions integrating Numerix services. Oversees release readiness, production validation, troubleshooting, documentation, and user support while providing technical leadership, architectural direction, mentoring, and delivery accountability.

Leads data engineering, analytics, predictive modeling, and Generative AI initiatives. Designs scalable Microsoft Fabric infrastructure, ETL/ELT pipelines, governance frameworks, and data models; develops and deploys predictive models; analyzes complex datasets; automates financial reporting and reconciliation; and partners with business, finance, and analytics teams. Provides technical leadership, mentors junior engineers, establishes reporting standards, and promotes data literacy.

Develop and maintain reliable Python software for engineering applications. Collaborate with development teams and product managers, participate in Agile/Kanban ceremonies and code reviews, troubleshoot existing applications, and apply data structures and algorithms to solve technical problems. The role may involve graph databases, data modeling, graph queries, testing, debugging, and application integration.

Develop and maintain Python-driven RPA and UI automation solutions. Design automation frameworks, integrate RPA with custom applications, troubleshoot complex workflows, and optimize scripts for reliability, performance, and scalability. Collaborate with stakeholders to translate requirements into technical solutions. The role requires hybrid work in select Indian cities, an afternoon/evening IST shift supporting UK operations, short notice availability, detailed resume documentation, and technical validation.

Build and operate Python backend services, recommendation APIs, CI/CD workflows, and Google Cloud infrastructure. Manage Terraform provisioning across Cloud Run, GKE, Cloud SQL, IAM, and networking. Own observability, incident response, security, cost awareness, compliance, architecture, documentation, and platform simplification. Collaborate across engineering, data, security, and platform teams while supporting reliable production deployments.

Design, build, and scale full-stack web applications using Python backends and modern JavaScript frontends. Integrate generative AI through LLM APIs, prompt engineering, vector databases, and basic RAG. Develop database schemas, APIs, caching, automated tests, Dockerized deployments, and cloud infrastructure. Lead code reviews, uphold architecture and engineering best practices, and mentor junior and mid-level engineers.

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 scalable Python backend services using FastAPI, RESTful APIs, WebSockets, MongoDB, AWS, and Docker. Build real-time features, deploy cloud applications, support CI/CD pipelines, integrate Studio APIs, and collaborate with frontend, product, and AI teams. Ensure application performance, security, scalability, and reliable system architecture.

Build and scale Python/FastAPI backend services for a multi-tenant SaaS platform. Design APIs for frontends, partners, and AI agents; integrate real-time and batch data systems; develop context APIs, prompt orchestration, and evaluation pipelines; and implement authentication, RBAC, tenant isolation, security, testing, and performance optimizations. Own backend development from design through production while collaborating with product, design, and LLM 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.

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 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.

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.

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.

Build, operate, and scale enterprise web applications using Python and React.js. Develop REST and GraphQL APIs, asynchronous processing, responsive interfaces, database queries, automated tests, and CI/CD workflows. Own features end to end, improve architecture and observability, modernize legacy systems, resolve outages, reduce technical debt, and mentor engineers. Collaborate with Product and Design in a remote, pod-based organization while leveraging AI coding agents.

Lead development and maintenance of Python-based QA automation frameworks and test tools for wireless and cloud products. Build UI and backend automation, implement AI-based testing improvements, maintain Jenkins or GitLab pipelines, review test code, define automation roadmaps, and communicate testing status. The role requires extensive QA automation experience, API and UI testing expertise, Unix/Linux skills, version control proficiency, and familiarity with networking tools and telecom or SaaS environments.

Develop and integrate enterprise cloud software services using Python, Generative AI, serverless technologies, CI/CD, and Infrastructure as Code. Build automated IT operations solutions with AWS, Azure, Ansible, Terraform, Jenkins, and Azure DevOps. Contribute to cloud governance, security, compliance, testing, code quality, and operational standardization. Collaborate with architecture, engineering, cloud operations, and security teams while driving projects, documenting implementations, and reporting progress to stakeholders. Occasional domestic and international travel is required.

Develops and maintains large-scale production services, web applications, data pipelines, and streaming systems. Designs, codes, tests, debugs, and validates software while supporting engineering teams and improving standards, tooling, and processes. Collaborates cross-functionally, researches and documents findings, resolves production issues across the technology stack, and maintains current software development knowledge.

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 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.