Top Python Jobs in Hyderabad

Design and develop Streamlit web applications and dashboards, build and optimize database integrations (relational and NoSQL), implement backend functionality, ensure code quality via reviews, deploy and monitor apps on cloud platforms, troubleshoot performance issues, and create Power BI visualizations. Optionally integrate GenAI features and vector-search capabilities.

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.

Develop scalable full-stack applications using Node.js, NestJS, Vue.js, and JavaScript. Build RESTful APIs, deploy cloud-native workloads on GCP, automate infrastructure with Terraform and Kubernetes, and manage databases and data pipelines using PostgreSQL, BigQuery, Dataflow, Composer, Airflow, and Kafka. Implement CI/CD, observability, security, and compliance practices. Mentor team members, conduct code reviews, and contribute to architectural and infrastructure decisions.

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 and maintain cloud-native full-stack applications using React, Python, Java, Node.js, and AWS serverless services. Build REST APIs, Lambda functions, and infrastructure with AWS CDK or CloudFormation. Collaborate with architects, designers, product owners, and cross-functional teams throughout the agile software lifecycle. Responsibilities include code reviews, testing, CI/CD, technical documentation, troubleshooting, performance optimization, and delivering scalable, maintainable web applications.

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.

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.

Develop cloud-based data solutions on Microsoft Azure for varied business use cases. Participate in architecture, analysis, design, development, implementation, testing, and Agile delivery. Provide technical expertise across project phases using Azure Data Factory, Functions, Logic Apps, Service Bus, SQL Database, Databricks, Python, and JavaScript. Collaborate with project teams and customer stakeholders while working independently. Preferred experience includes additional databases, Azure services, identity platforms, SharePoint, Okta, and Azure certifications.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG applications using Python and AWS Bedrock. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions through AWS, Docker, and Kubernetes, and manage CI/CD. Design databases and automated ETL pipelines, collaborate with cross-functional teams, document workflows, and communicate AI concepts to stakeholders.

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.

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.

Build and maintain end-to-end web applications using Python, modern JavaScript frameworks, and SQL databases. Develop APIs and responsive UIs, optimize database and application performance, implement testing and code reviews, manage deployments and CI/CD, monitor reliability and costs, troubleshoot production issues, and apply security and observability best practices.

Develop and maintain scalable, secure, and reusable Python backend services using AWS cloud services and microservices architecture. Design infrastructure as code, work with relational and NoSQL databases, manage Linux-based systems, and use Git for version control. Participate across the software development lifecycle, including requirements analysis, testing, deployment, infrastructure management, troubleshooting, debugging, and performance optimization. Collaborate with cross-functional teams while independently managing project components.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical and product teams.

Develop scalable Python backend applications and RESTful APIs using FastAPI, Django, or Flask. Design AWS serverless, event-driven, cloud-native systems using services such as Lambda, API Gateway, Step Functions, EventBridge, Cognito, S3, RDS, and DynamoDB. Integrate AI APIs and AI-powered features, optimize service performance and reliability, and collaborate independently with cross-functional teams in a remote environment.

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

Develop and maintain full-stack applications using React and TypeScript on the frontend and Python with Flask on the backend. Build and manage RESTful APIs, work with PostgreSQL or MongoDB, and use AWS services and AWS CDK for cloud infrastructure. The role requires handling frontend and backend responsibilities in a remote environment. Supply chain, logistics, manufacturing, and physical-product software experience are bonus qualifications.

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.

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.

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.