Easebuzz- Python Backend(Platform Engineering)

Job Summary

We are looking for a Backend Engineer to design and scale high-throughput, low-latency transaction processing systems. The role involves building and optimizing platform-level services and shared frameworks using Python and GoLang, with a strong focus on performance, scalability, and reliability. The ideal candidate will have hands-on experience with FastAPI, Django, or Gin, deep understanding of concurrency and async processing, and a strong engineering mindset for building production-ready systems at scale

Technical Skill Set Requirements

1. Programming Languages & Frameworks

• Strong proficiency in Python for production-grade backend services.

• Experience with GoLang for high-performance services.

• Hands-on experience with FastAPI (async) or Django (sync) or Gin (Go) frameworks.

• Strong understanding of async vs sync execution models and concurrency.

2. Algorithms & Data Structures

• Strong problem-solving ability.

• Designing efficient algorithms for high-throughput and low-latency systems.

• Choosing appropriate data structures for performance and scalability.

• Streaming & Event Processing.

• Experience with Kafka for high-throughput event ingestion and processing.

• Understanding of streaming semantics, ordering, retries, and idempotency.

3. Databases & Storage

• Strong proficiency in MySQL.

• Experience with Redis for caching, rate limiting, counters, and fast state access.

• Experience with Elasticsearch for indexing, search, and operational analytics.

4. Performance & Scalability

• Designing systems capable of processing 10K+ API calls per second.

• Expertise in performance tuning, capacity planning, and bottleneck analysis.

• Effective use of caching, connection pooling, batching, and asynchronous processing.

5. System Design

• Designing scalable, reliable, and fault-tolerant transaction processing platforms.

• Designing frameworks and shared components used across multiple services.

• Ensuring consistency, idempotency, and resilience under high load.

6. Cloud & Infrastructure

• Experience with AWS for running high-scale distributed systems

• Understanding of autoscaling, load balancing, networking, and observability.

7. Engineering Practices

• Strong unit and integration testing mindset.

• Experience with performance benchmarking and load testing.

• Code reviews, design documentation, and production readiness reviews.