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Backend Developer (Python) India Jobs

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Python Backend Developer
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Join Egnyte's Ecosystem Team as a Python Backend Developer in India. Build and scale AI/integration services using Python, Node.js, and modern cloud tech (Kubernetes/GCP). Collaborate on key partner integrations and influence product direction. Enjoy competitive pay, healthcare, flexible hours, a...
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India
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Egnyte
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Until further notice
Python Backend Developer
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Join Wissen Technology in Mumbai as a Python Backend Developer. You will design and maintain scalable backend systems and APIs using Django and Python. The role requires strong skills in database design, RESTful APIs, and Agile methodologies. Experience with PyTest, XML parsing, and cloud platfor...
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India , Mumbai
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Wissen
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Until further notice
Backend Python Developer
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Join our esteemed client as a Backend Python Developer in Bangalore. You will build and optimize scalable data pipelines using PySpark, SparkSQL, and cloud technologies. Your role focuses on ETL processes, data warehousing, and ensuring high-quality data ingestion from diverse sources. Bring your...
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India , Bangalore
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Randstad
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Until further notice
Python Backend Developer / ML Engineer
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Join our team as a Python Backend Developer / ML Engineer in Bengaluru or Gurugram. You will build scalable AI platforms with FastAPI, LLMs, and vector databases like Pinecone. Leverage your expertise in ML, Azure OpenAI, and async programming to deliver impactful solutions. Enjoy flexible hours,...
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India , Bengaluru; Gurugram
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Intellectsoft
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Until further notice
Explore the dynamic world of Backend Developer (Python) jobs, where professionals build the robust, unseen engines that power modern digital experiences. A Python Backend Developer is a specialist focused on server-side logic, databases, APIs, and the overall architecture that enables applications to function seamlessly. This role is fundamental to virtually every tech-driven industry, from e-commerce and finance to social media and SaaS platforms. Individuals in this profession are the architects of performance, security, and scalability, ensuring that applications can handle user requests efficiently and data flows reliably. The core responsibilities of a Python Backend Developer typically revolve around designing, developing, and maintaining the core application logic. This involves writing clean, maintainable Python code to create business logic, algorithms, and data processing routines. A significant part of the role is dedicated to designing and implementing Application Programming Interfaces (APIs), primarily RESTful or GraphQL, which serve as the crucial communication bridge between the backend server and frontend clients or other services. Developers are also responsible for data management, which includes designing database schemas, writing efficient SQL queries for relational databases like PostgreSQL, and often working with caching systems and other data stores. Ensuring code quality through comprehensive testing (unit, integration) and participating in code reviews are standard practices. Furthermore, backend developers proactively work on optimizing application performance, identifying bottlenecks, and implementing improvements for enhanced scalability and reliability. To succeed in Backend Developer (Python) jobs, a specific skill set is essential. Proficiency in Python and its popular web frameworks, such as Django or Flask, is the primary requirement. A strong understanding of relational databases and SQL is fundamental, with knowledge of ORMs (Object-Relational Mappers) being highly valuable. Developers must grasp core system design principles, including concepts like microservices, load balancing, caching strategies, and asynchronous programming. Experience with version control systems like Git is universal. Beyond technical prowess, problem-solving methodology, the ability to collaborate effectively within cross-functional teams, and strong communication skills are critical for translating business requirements into technical solutions. While educational backgrounds often include computer science or related fields, a proven portfolio and hands-on experience are paramount. The landscape for these jobs is vast, offering opportunities for continuous learning in areas like cloud services (AWS, GCP, Azure), containerization (Docker, Kubernetes), and message brokers (RabbitMQ, Kafka), making it a perpetually evolving and in-demand career path for logical thinkers and builders.

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