Top Python Jobs in Hyderabad

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.

Principal Data Engineer responsible for developing and supporting Databricks pipelines, integrating heterogeneous healthcare data sources, modeling unified data products, and ensuring data quality and availability. The role partners with business stakeholders, product teams, data engineers, and clinical leaders to gather requirements, create datasets, support ad hoc analytics, enable machine learning and AI use cases, and assist with acquisition integrations. Extensive healthcare data, cloud, SQL, PySpark, and Python experience is required.

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.

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.

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

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.

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.

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.

Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.

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.

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

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.