Senior Python Developer - HPH

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟰𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟳𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟰𝟱-𝟳𝟱 𝗟𝗣𝗔)

Experience: 8+ yrs

Location: Hyderabad, Telangana

Job Type: Full-time

We are looking for a highly skilled Senior Python Developer with strong backend engineering expertise to design, develop, and maintain scalable, high-performance applications. The role requires deep experience in Python, API development, database optimisation, cloud-native technologies, concurrency, and distributed systems.

The ideal candidate will be passionate about building robust backend platforms and will play a key role in developing reliable services that support next-generation, AI-driven products.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python 3.x.
• Build high-performance RESTful APIs using FastAPI and/or Flask.
• Design scalable database schemas and optimise database performance.
• Develop efficient data-access layers using SQLAlchemy ORM, including session management and transaction handling.
• Build thread-safe, concurrent, asynchronous, and high-throughput backend applications.
• Implement robust microservices and distributed backend architectures.
• Containerise applications using Docker and deploy and manage workloads on Kubernetes.
• Deploy and operate backend applications on Google Cloud Platform (GCP).
• Develop and maintain API specifications and documentation using OpenAPI and Swagger.
• Optimise application performance, scalability, reliability, security, and resource utilisation.
• Identify and resolve complex production issues through debugging and root-cause analysis.
• Write clean, reusable, testable, and maintainable code following established engineering practices.
• Develop unit and integration tests and participate in peer code reviews.
• Collaborate with Product, Engineering, DevOps, QA, and other stakeholders to deliver features end-to-end.
• Contribute to technical architecture discussions, design reviews, documentation, and engineering standards.
• Support CI/CD, deployment, monitoring, logging, and production-release activities.
• Identify opportunities to improve system architecture, automation, performance, and engineering efficiency.
• Contribute to backend solutions supporting AI/ML-enabled applications where required.

What Makes You a Great Fit

• 8+ years of hands-on experience in Python backend development, with strong experience building production-grade systems.
• Expert-level proficiency in Python 3.x and backend software engineering.
• Extensive experience with FastAPI and/or Flask.
• Strong hands-on expertise with SQLAlchemy ORM, session management, database transactions, and data-access patterns.
• Strong understanding of multithreading, concurrency, asynchronous programming, and thread-safe application development.
• Proven experience with PostgreSQL and/or MySQL, including database design, indexing, query optimisation, and performance tuning.
• Hands-on experience with Docker and Kubernetes in production environments.
• Experience deploying and managing applications on Google Cloud Platform (GCP).
• Strong understanding of REST APIs, OpenAPI, and Swagger.
• Good knowledge of microservices architecture, distributed systems, scalability, and high-availability application design.
• Experience with Git, code reviews, unit testing, and modern software development practices.
• Exposure to Redis, Kafka, RabbitMQ, or similar caching and messaging technologies is an advantage.
• Experience with CI/CD pipelines and DevOps practices is preferred.
• Experience building or integrating AI/ML-enabled applications is an advantage.
• Strong understanding of monitoring, logging, observability, and application performance optimisation.
• Strong analytical and problem-solving abilities with a focus on scalable and reliable solutions.
• Ability to independently own complex technical initiatives in a fast-paced product environment.
• Excellent communication, collaboration, and technical leadership skills.
• Familiarity with Agile development methodologies and cross-functional engineering environments.