Senior Backend Engineer
Gloroots AI Greater Bengaluru Area
Job Description
"Unlock the secrets of building scalable AI-powered backend systems as a Senior Backend Engineer at Gloroots AI, where you'll drive innovation and impact across India's diverse user base."
As a Senior Backend Engineer at Gloroots AI, you'll be part of a high-performing team that's revolutionizing the AI landscape in India. With a strong focus on engineering excellence and high autonomy, you'll have the freedom to design and develop cutting-edge backend systems that power our AI platform.
Our team is passionate about building a robust and scalable AI ecosystem that meets the unique needs of India's diverse user base. With partnerships with global tech leaders like Meta and Google, we're poised to make a meaningful impact across sectors that matter to India.
Why you should learn this:
High demand for skilled Backend Engineers in the Indian AI landscape, with a projected growth rate of 20% YoY.
Expected Salary: Competitive compensation package of ₹25-40 lakhs per annum, with opportunities for growth and bonuses.
How it works:
- Design and develop scalable backend systems using Java and Spring Boot, ensuring high performance, reliability, and safety.
- Collaborate with cross-functional teams to integrate AI models, data pipelines, and APIs, driving seamless user experiences.
Core Concepts to Master
Microservices Architecture
Design and implement distributed systems using microservices architecture, ensuring scalability, flexibility, and maintainability.
Distributed Databases
Choose and implement suitable distributed databases (e.g., Cassandra, MongoDB) for handling large-scale data storage and retrieval.
API Design
Design and implement RESTful APIs using Spring Boot, ensuring high performance, security, and scalability.
Cloud Computing
Migrate backend systems to cloud platforms (e.g., AWS, GCP) for enhanced scalability, reliability, and cost-effectiveness.
Interview Questions (Beginner)
- What are the key differences between monolithic and microservices architecture?
- How do you ensure data consistency in a distributed database system?
- What are the security best practices for designing and implementing RESTful APIs?
Job Overview
Advance Questions
- • Design a scalable backend system using microservices architecture for a high-traffic e-commerce platform.
- • Implement a distributed database system using Cassandra for handling large-scale data storage and retrieval.
- • Optimize API performance using caching, load balancing, and content delivery networks.