Top Python Jobs in Hyderabad

Develop Python applications, automation workflows, enterprise data pipelines, ETL processes, API integrations, and scalable Azure solutions. Build AI agents using LLM APIs, LangChain, and LangGraph, while collaborating with engineering, data, and business teams to identify automation opportunities and deliver proof-of-concepts and production systems.

Design, develop, and maintain scalable Python backend applications, RESTful and GraphQL APIs, database systems, integrations, and asynchronous services. Deploy cloud-based services using Docker and CI/CD pipelines, write automated tests, participate in code reviews, contribute to technical architecture, and mentor junior developers. The role requires expertise in Python frameworks, SQL and NoSQL databases, authentication, cloud platforms, distributed systems, and asynchronous programming.

Designs and manages Kubernetes and Amazon EKS containerized applications, develops Java or Python automation for CI/CD and infrastructure provisioning, supports Oracle databases, and maintains production environments. Responsibilities include incident management, troubleshooting, monitoring, performance tuning, availability improvements, and strengthening infrastructure security and efficiency through collaboration with cross-functional teams.

Develop and maintain scalable Python backend services using Flask and FastAPI, optimize SQL databases, and manage Azure cloud infrastructure. Integrate vector databases, MCP protocols, and LLM servers to support AI-driven capabilities. Collaborate on UI integration, troubleshoot technical issues, and deliver reliable solutions throughout the software development lifecycle.

Design, develop, and deploy scalable AI-powered applications using Python, Azure cloud services, and machine learning models. Build and optimize Microsoft SQL Server databases, integrate Azure infrastructure services, support .NET systems, and develop responsive interfaces with Angular, React, and JavaScript. Responsibilities include architecture, performance tuning, testing, debugging, reliability improvements, and production deployment of intelligent applications.

Designs, builds, and optimizes scalable ETL and ELT pipelines using Python and PySpark. Develops high-performance applications for large-scale data processing, integrates AWS data services, writes advanced SQL, and builds REST APIs. Ensures cloud-based data solutions are secure, scalable, highly available, and compliant while collaborating with cross-functional teams to deliver business-focused data engineering solutions.

Designs and optimizes scalable data pipelines using Python and PySpark, develops secure REST APIs, and deploys cloud applications on AWS. The role involves processing large datasets, managing distributed computing solutions, troubleshooting technical issues, optimizing performance, and collaborating with cross-functional teams to deliver reliable software and data engineering solutions.

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.

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.

Develop and maintain scalable full-stack web applications using Python and modern frontend technologies. Build REST APIs, microservices, and serverless applications; manage relational and NoSQL databases; deploy applications to cloud platforms; and follow coding, testing, version control, and CI/CD best practices. Collaborate with cross-functional teams throughout the software development lifecycle.

Build and deploy enterprise AI applications, data pipelines, and GenAI solutions using Python, LLMs, and RAG. Develop backend services and microservices integrating REST APIs, SQL, NoSQL databases, and enterprise data platforms. Optimize AI models for production environments while solving complex technical problems and collaborating effectively with stakeholders.

Designs, builds, and configures Python applications according to business requirements. Responsibilities include software design and development, database management and integration, version control using Git, clean coding, and application framework practices. The role collaborates with cross-functional teams and may involve technical decision-making, team coordination, and mentoring junior developers.

Develop Generative AI solutions using Python and FastAPI. Build and integrate machine learning, deep learning, NLP, LLM, prompt engineering, and RAG systems. Work with text embeddings and vector databases including FAISS, Chroma, and Pinecone. Implement model inference, deployment, REST APIs, and backend integrations. The role is hybrid in Hyderabad or Bangalore and requires candidates with 4.5+ years of relevant experience who are currently serving notice and can join within 15 days.

Develop backend applications using Python, object-oriented and functional programming, REST APIs, SQL, Apache Spark, multithreading, multiprocessing, and asynchronous programming. This hybrid full-time role is based in Bengaluru, Hyderabad, Pune, or Chennai and requires 6–10 years of experience.

Designs, develops, and maintains scalable full-stack web applications using Node.js, Python, Angular, or React. Builds backend services and RESTful APIs, integrates third-party services, works with relational and NoSQL databases, performs testing and code reviews, deploys to cloud environments, and troubleshoots application performance issues while collaborating with UI/UX, DevOps, and QA teams.

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.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG solutions using Python and AWS Bedrock. Build REST APIs and microservices with FastAPI or Flask, deploy scalable cloud infrastructure, manage containerized workloads, and develop data pipelines and ETL processes. Work with relational and NoSQL databases, CI/CD, and AWS services while collaborating with technical and product teams and documenting AI workflows.

Provide L1-L3 support and implement system enhancements; perform large-scale data migrations (millions of records); build custom Python and Salesforce/Apex solutions; integrate via APIs; maintain technical documentation, recurring issue resolution, stakeholder communication, and log work hours in JIRA. Night-shift rotations as needed.

Build and maintain scalable backend services using Python and Django. Develop RESTful APIs, optimize database queries (MongoDB/Postgres), improve performance, fix legacy bottlenecks, implement security and deployment considerations, and collaborate with cross-functional teams to deliver reliable production features.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.