Platform Engineer Senior Data Scientist, Product Product Design – Lead Customer Success Engineer: Implementation & Support Customer Success Engineer Senior Product Engineer/Front End Engineer

Job Description
The candidate should demonstrate the following skills : 

Maintain Ajua’s platform uptime, performance, stability and scalability
Design, guide, mentor and challenge system architecture and design with others
Develop,maintain, and scale a world class public API
Develop best possible, most robust, and extensible solutions from feature requests
Experience working with  data processing technology (Kafka, Hadoop, Spark, etc)
Experience working with Data Scientists to develop rich value added features
Experience working with DBA to create ETL and Data Warehouse system
Experience working with Operations to automate solutions and increase service reliability
Experience working with Machine Learning and using large-scale data repository for business intelligence; App development a plus.
Closely monitor all platform related production systems
Periodically perform On-Call duty
Analyze requirements thoroughly; Advise and develop solutions that solves the true customers’ pain
Perform testing and unit testing for delivering quality work
Acquire technical skills and knowledge continuously and aggressively, and help team to develop the same
Properly document development work completed

Qualifications
Basic Requirements

Bachelors of Science in Computer Science or related engineering discipline
3+ years of relevant, broad engineering experience
Solid data structures and algorithms foundation
Advanced-level understanding of at least one JVM language preferably Java 
Advanced understanding of Spring Framework, Spring Boot and Spring Cloud
Have an understanding of applicable unit and integration testing, and testing frameworks
Have an understanding of Relational and Non-relational databases
An understanding of big data stack, e.g. Hadoop, Kafka, Spark, etc
Experience architecting, developing and deploying distributed systems
Working  knowledge of Linux and networking
Working knowledge of containerization and orchestration technologies preferably Docker and Kubernetes
Working knowledge of AWS Cloud computing platform
Open Source project contributions are a plus

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