Backend Engineering Lead
Pocketful Delhi, Delhi, India
Job Description
"Unlock the secrets to becoming a Backend Engineering Lead at Pocketful, where you'll architect and scale critical backend systems that power a modern fintech infrastructure layer."
In this role, you'll be at the forefront of building a high-performance, scalable, and reliable backend system that enables seamless trading, execution, risk management, and platform infrastructure. As a Backend Engineering Lead at Pocketful, you'll have the opportunity to work closely with founders, product, and engineering leadership to shape the core technology backbone of the platform.
With 6-10+ years of experience in backend engineering, you'll be expected to lead the design, architecture, and development of scalable backend systems that operate with low latency and high reliability under scale. If you're ready to take on this challenge and drive innovation in the fintech industry, then this is the role for you.
Why you should learn this:
The demand for skilled backend engineers is on the rise, with fintech companies like Pocketful leading the charge in innovation and growth.
Expected Salary: As a Backend Engineering Lead, you can expect a salary range of ₹20-₹40 lakhs per annum, depending on your experience and qualifications.
How it works:
- Design and architect scalable backend systems that meet the high-performance and reliability requirements of the fintech industry.
- Collaborate with cross-functional teams to shape the core technology backbone of the platform and drive innovation in the fintech industry.
- Lead the development of critical backend systems that power trading, execution, risk management, and platform infrastructure.
- Work closely with founders, product, and engineering leadership to ensure alignment and drive business outcomes.
Core Concepts to Master
Scalable System Design
Design and architect scalable backend systems that can handle high traffic and meet the performance requirements of the fintech industry. This includes understanding load balancing, caching, and other techniques to ensure high availability and reliability.
Cloud-Native Architecture
Design and implement cloud-native architectures that enable scalability, agility, and cost-effectiveness. This includes understanding containerization, serverless computing, and other cloud-native technologies.
Microservices Architecture
Design and implement microservices architectures that enable loose coupling, scalability, and flexibility. This includes understanding service discovery, API gateways, and other microservices patterns.
Interview Questions (Beginner)
- Can you explain the difference between monolithic and microservices architectures?
- How do you ensure scalability and reliability in a high-traffic backend system?
- Can you describe a scenario where you had to troubleshoot a performance issue in a backend system?
Job Overview
Advance Questions
- • Can you design and explain a scalable system architecture for a high-performance fintech platform?
- • How do you implement load balancing and caching in a cloud-native architecture?
- • Can you describe a scenario where you had to lead a team to implement a major backend system redesign?