483 Info Edge Jobs

We are seeking an experienced candidate with a strong foundation in Backend engineering and hands-on experience with Java Spring Boot, Elasticsearch, MySQL, and AWS. The ideal candidate should be proficient in designing and implementing high-performance, scalable backend services, with specific expertise in AWS services such as EC2, Lambda, S3, Elastic Load Balancing (ELB), Simple Queue Service (SQS), and Simple Notification Service (SNS),

Additionally, the candidate should possess a deep understanding of system design and low-level design (LLD) principles, enabling them to create robust architectures that meet business requirements while ensuring optimal performance and reliability.

In this role, they will work closely with cross-functional teams to develop robust backend services, optimize data storage and retrieval, and contribute to the overall architecture of our platform.

They will also focus on **Elasticsearch query optimization** to ensure fast and efficient search capabilities.

Key Responsibilities

- Design, develop, and maintain backend services and APIs using **Java Spring Boot**.

- Optimize **Elasticsearch** queries and manage indices to enhance search performance and scalability.

- Develop and deploy services on **AWS** (SQS, EC2, RabbitMQ) and manage cloud-based infrastructure.

- Implement and maintain message-driven architecture using **AWS SQS**.

- Troubleshoot and debug production issues across services and multiple levels of the stack.

- Write efficient **Bash shell or python scripts** for automation and system maintenance tasks.

- Collaborate with DevOps for **CI/CD pipelines**, deployment, and scaling.

- Work on **system design** and **low-level design (LLD)** to create scalable and maintainable software solutions.

- Apply a strong understanding of **networking fundamentals** to improve system performance and troubleshooting.

- Deploy, maintain, and monitor Elasticsearch instances across various environments.

- Ensure **high availability** and **reliability** of Elasticsearch clusters.

- Architect and implement **search solutions** using Elasticsearch for different use cases.

- Design and develop data discovery, analytics, and visualization applications using **Elasticsearch**.