Engineering Lead

Technical skills required:

5+ years building enterprise systems

Worked on one or more large scale applications on Python Django

Good understanding of distributed systems, scalability, and availability with an understanding of the CAP theorem and its implications for real-world distributed systems

Understanding of distributed systems like Dynamo, HBase, various messaging and queuing systems and understanding of Time, Clocks, and Ordering of Events, rate control, load distribution

Good knowledge of one or more relational and NoSQL databases and transactions Shrewd focus on latency and throughput of services

In-depth understanding of concurrency, synchronization, NIO, memory allocation, and GC

Experience with IaaS clouds like AWS/Google Cloud, Azure, OpenStack etc.

Experience in working with Message Brokers and Application Containers

Ability to detect fraud and risk mitigation

Responsibilities:

Code reviews, ensuring that the code follows the best technical practices and design patterns

Follow best technical practices, incorporate emerging solutions, and employ scalable designs that can be easily adopted

Architect solutions by mapping customer business problems to end-to-end technology solutions

Experience in working with Agile Methodology

Regular monitoring and audits of the cloud infrastructure

Managing System monitoring tools and developing processes for handling crisis situations

Managing the development team and the support team. Setting processes that will increase the team’s efficiency

Handling technical and managerial interviews for expansion of the team

Qualification and experience:

B.E/B.Tech/M.E./M.Tech/M.S.

5+ years of experience  working as a full stack engineer with a track record of delivering scalable products

FinTech experience with Prepaid payment instruments and UPI experience is a big plus

Machine learning experience would be preferable