About the job
We’re looking for a Python Backend Engineer to shape and scale the backend of a high-performance analytics platform used by thousands of users in real time. You’ll design secure, low-latency services, build scalable APIs, and play a key role in integrating GenAI-driven workflows into production systems. What You’ll Do • Design and own backend architecture for a real-time, data-intensive platform • Build and scale secure REST APIs and Python-based microservices • Integrate GenAI workflows using tools like LlamaIndex, LangChain, or similar • Implement real-time streaming and event-driven systems (SSE, messaging) • Optimize SQL / NoSQL databases for performance and scalability • Enforce security standards (OAuth2, JWT, RBAC) and observability best practices • Drive cloud-native deployments and system reliability • Mentor engineers and contribute to architectural decisions • Partner with product, data, and infra teams to deliver business-aligned solutions What You Bring • 3–7 years of experience in Python backend development • Strong expertise in REST APIs, microservices, and backend security • Experience with real-time systems (SSE / WebSockets, event-driven design) • Solid database fundamentals (PostgreSQL / MySQL, MongoDB, etc.) • Confidence leading technical discussions and mentoring peers Nice to Have • Hands-on exposure to GenAI frameworks and agent-based patterns • Experience with AWS, Kubernetes, CI / CD, and Infrastructure as Code • Familiarity with logging, monitoring, caching, and messaging systems Why This Role • High Impact : Build systems that power mission-critical analytics • Technical Depth : Solve real-time performance and scalability challenges • Innovation : Lead GenAI adoption in production-grade backend systems.
Requirements
- Python
- REST APIs
- microservices
- backend security
- real-time systems
- PostgreSQL
- MySQL
- MongoDB
Preferred Technologies
- Python
- REST APIs
- microservices
- backend security
- real-time systems
- PostgreSQL
- MySQL
- MongoDB
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