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About the role
The Impact you will create: • Build campaign generation services which can send app notifications at a speed of 10 million a minute • Dashboards to show Real time key performance indicators to clients • Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds • Building highly available & horizontally scalable platform services for ever growing data • Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability • Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed. • You will build backend services and APIs to create scalable engineering systems. • As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions. • You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience. • Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle. • Identify and improvise areas of improvement through data insights and research. What we look for • 8-10 years of experience in backend development and must have worked on Java. • Solid understanding of engineering best practices, continuous integration, and incremental delivery. • Strong analytical skills, debugging and troubleshooting skills, product line analysis. • Follower of agile methodology (Sprint planning, working on JIRA, retrospective etc). • Proficiency in usage of tools like Docker, Maven, Jenkins and knowledge on frameworks in Java like spring, spring boot, hibernate, JPA. • Ability to design application modules using various concepts like object oriented, multi- threading, synchronization, caching, fault tolerance, sockets, various IPCs, database interfaces etc. • Hands on experience on Redis, MySQL and streaming technologies like Kafka producer consumers and NoSQL databases like mongo dB/Cassandra. • Knowledge about versioning like Git and deployment processes like CICD. • Team leading experience.
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