Top Python Jobs in Hyderabad

Develop and maintain Python-based applications and front-end components. Work with JavaScript, HTML, SQL and data modeling. Implement MVC patterns, handle server/networking concerns, and collaborate with stakeholders. Strong communication and short notice-period availability required.

Senior Python developer to build automation for provisioning, monitoring and maintenance of distributed storage systems. Work with engineering, operations and vendors to identify automation opportunities, develop tooling, promote SOPs, and resolve storage-related risks and incidents.

Develop and maintain web applications using Python and JavaScript. Write SQL queries and perform data modeling. Build UI with HTML/JavaScript, work with MVC frameworks, server networking, and collaborate with stakeholders. Strong communication required.

Develop and maintain automation scripts for provisioning, monitoring, and maintenance in distributed enterprise environments. Collaborate with engineering and operations to identify automation opportunities, evaluate new technologies, and support SAN analytics and BI tooling.

Develop and maintain Python applications, collaborate with teams, write clean code, troubleshoot, participate in code reviews, and stay updated on industry trends.

As a Full Stack Developer, design and maintain web applications using JavaScript frameworks, develop APIs, collaborate in Agile teams, and mentor junior staff.

Design, build, and maintain scalable Python backend services using AWS (Lambda, EC2, S3, DynamoDB, API Gateway). Develop RESTful APIs, optimize performance, collaborate on CI/CD and deployment automation, use IaC (CloudFormation/Terraform), containerize with Docker and orchestration (ECS/EKS), mentor junior developers, and participate in agile processes.

Develop and maintain Python backend components, design and optimize SQL for large datasets, perform ETL, integrate front-end and third-party services, troubleshoot applications and databases, ensure data quality and security, participate in code reviews, and produce technical documentation.

Develop and maintain backend applications using Python and Django. Architect and implement microservices, migrate monolithic systems to microservices, build RESTful APIs, optimize performance and security, collaborate with DevOps/frontend/QA, and troubleshoot production issues.

Develop and maintain scalable backend systems with Python (Django/Flask), build responsive front ends with React or Angular, integrate AI/ML components, ensure performance and security, participate in architecture and code reviews, and collaborate with cross-functional Agile teams.

Design, build, and deploy scalable business process automations using Python, SQL, and RPA (UiPath, Power Automate). Create ETL pipelines with Pandas/NumPy, integrate APIs, write unit tests, implement OOP-based modular code, handle exceptions, and translate business needs into technical requirements while managing stakeholders and delivering production-ready solutions.

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.

Design, build, and maintain high-performance FastAPI-based REST APIs and asynchronous backend services. Drive event-driven data synchronization and CDC, optimize caching and database performance, improve observability, collaborate cross-functionally, and contribute to open-source Plane and backend architecture.

Design, develop, and maintain Python applications using AWS services and Terraform. Build scalable solutions, optimize SQL queries, collaborate with cross-functional teams, troubleshoot defects, and ensure application performance and quality.

Develop, test, deploy, and support Python backend microservices and REST/GraphQL APIs on AWS. Improve CI/CD, automated testing, and security practices, troubleshoot production issues, and share knowledge across cross-functional teams using AI-assisted engineering tools.

Design, architect, and develop scalable Python applications and microservices; build cloud-native solutions on AWS using serverless components; implement event-driven systems with Kafka; maintain CI/CD, testing, monitoring; troubleshoot production issues; mentor junior engineers and drive technical design decisions in Agile teams.

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.

Seeking a Full Stack Developer to design and develop applications using Python and Angular, implement CI/CD practices on AWS, and lead technical teams for software delivery.

Develop, test, deploy, and support Python backend microservices and REST/GraphQL APIs on AWS. Improve CI/CD, automated testing, security checks, and production reliability. Use AI-assisted tools for development, contribute to documentation, troubleshooting, and cross-functional delivery within Agile teams.

The Senior GenAI Engineer will develop and deploy Generative AI applications using Python and Azure, lead projects, mentor juniors, and stay innovative in AI trends.

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.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

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.