Job Description

As a Lead Software Developer, you will play a pivotal role in shaping the architecture, implementing best practices, and driving the technical direction of our backend development efforts. Responsibilities Building highly-scalable and secure payments platform Primary owners of one or more components of the platform and will drive innovation in your area of ownership Working with various product teams gathering requirements and adding capabilities Working with some of the smartest people in the industry and will have ample opportunity to learn and grow Using cutting-edge cryptography to secure payments beyond industry standards. Deriving actionable insights by mining TBs of data. Building a low-level infrastructure that aims to push the boundaries of network performance. Participating actively in recruitment and nurturing of engineers as awesome as you Skills Review and influence new evolving design, architecture, standards and methods with stability, maintainability, and scale in mind Identify patterns and provide solutions to class of problems Be able to multitask, prioritize and handle dependencies with minimal oversight Worked on one or more large scale java applications Good understanding of nuances of distributed systems, scalability, and availability 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 Great ability to mentor and train other team members Experience and Qualifications Strong computer science background with an engineering degree in computer science. with 7+ years of experience in software development and delivery. Experience in working on Java, Spring, REST, SQL (PostgreSQL or MYSQL) Messaging systems, ELK stack, microservices is required. Great design and problem solving skills with a strong basis for architecting performance, scalability, security and reliability. Deep understanding of OOAD, efficient data structures and algorithms. Knowledge of Cloud technologies like AWS/Google Cloud, Azure, OpenStack.