Senior Backend Engineer (Python)
ShimentoX Technologies · VasanthaNagar, KA
FULL TIME
Job Description
Job Description
Senior Backend Engineer – Python
\nLocation: Bangalore / Hyderabad
\nExperience: 6+ Years
\nEmployment Type: Full-time
\nRole Overview
\nWe are looking for a Senior Backend Engineer – Python with strong experience in designing and building scalable, high-performance backend systems. The ideal candidate should have hands-on experience developing robust APIs, microservices, real-time systems, and production-grade backend services.
\nKey Responsibilities
\n- \n
- Design, develop, and maintain scalable backend services using Python. \n
- Build and optimize RESTful APIs and microservices. \n
- Implement real-time communication systems using WebSockets. \n
- Design reliable and high-performance backend architectures. \n
- Work with SQL/NoSQL databases and caching systems. \n
- Troubleshoot, debug, and optimize production systems. \n
- Implement monitoring and performance-tuning strategies. \n
- Write clean, maintainable, well-tested, and production-ready code. \n
- Collaborate with frontend and cross-functional teams for end-to-end product delivery. \n
- Contribute to system design and distributed systems initiatives. \n
Required Qualifications
\n- \n
- 6+ years of software engineering/backend development experience. \n
- Strong proficiency in Python. \n
- Hands-on experience developing REST APIs and microservices. \n
- Strong understanding of WebSockets and real-time backend integrations. \n
- Experience with SQL/NoSQL databases and caching mechanisms. \n
- Strong understanding of distributed systems fundamentals. \n
- Experience building scalable and highly available backend applications. \n
- Strong debugging, performance optimization, and production-support skills. \n
- Good understanding of software development, testing, and engineering best practices. \n
Preferred Qualifications
\n- \n
- Experience working on large-scale, high-availability backend systems. \n
- Experience with cloud-based backend architectures. \n
- Exposure to performance optimization and monitoring of production services. \n
