Back End Developer

Job description

Process: AI interview -> Coding test -> HM Interview and offer ( 4 days process)

Role: Back End Developer

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: B.Tech / B.E. in Any Specialization

Backend Engineer

Job Title: Backend Engineer Python & FastAPI (Microservices, Redis, Celery, High-Load Systems)

Location: Pune

Employment Type: Full-time

About the Role

We are seeking a highly skilled Backend Engineer with strong expertise in Python and the FastAPI framework to design and build scalable microservices applications. The ideal candidate will have hands-on experience with Redis and Celery for distributed processing and caching, and the ability to architect backend systems capable of handling massive load and high throughput seamlessly.

Key Responsibilities

• Design, develop, and maintain microservices-based backend applications using Python and FastAPI.
• Implement scalable, fault-tolerant architectures capable of handling high concurrency and large data volumes.
• Build distributed task queues and background jobs using Redis and Celery.
• Optimize caching strategies with Redis to improve application performance and reduce latency.
• Ensure high availability, scalability, and reliability of backend services.
• Design and optimize data storage solutions (SQL/NoSQL) to handle massive application load.
• Write clean, efficient, and well-documented code with unit/integration testing.
• Collaborate with frontend, DevOps, and data teams to deliver seamless application functionality.
• Contribute to CI/CD pipelines, monitoring, and alerting for backend services.

Required Skills & Experience

• Strong hands-on experience in Python and FastAPI framework.
• Proven expertise in designing and building microservices architectures.
• Practical experience with Redis (caching, pub/sub, key-value store) and Celery (task queues, async jobs).
• Strong knowledge of database systems (PostgreSQL, MySQL, MongoDB, or Cassandra) and data modeling for high-load scenarios.
• Experience with scalability and performance optimization in large-scale systems.
• Solid understanding of REST APIs, asynchronous programming, and event-driven systems.
• Familiarity with containerization (Docker, Kubernetes) for service orchestration.
• Experience in monitoring and logging (Prometheus, Grafana, ELK, or similar).

Preferred Qualifications

• Experience with message brokers (RabbitMQ, Kafka) for distributed systems.
• Knowledge of cloud platforms (Azure, GCP, AWS) and managed services for scaling workloads.
• Background in DevOps/CI/CD pipelines.
• Exposure to security best practices in backend systems.
• Bachelor’s/Master’s in Computer Science, Engineering, or equivalent experience.