Platform Engineer at AJUA (Formerly mSurvey)

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