Senior Platform Engineer
August 5, 2023
AWS
Big Data
Cloud
Distributed Systems
Docker
ETL
Hadoop
Integration Testing
Java
Kafka
Kubernetes
Machine Learning
Open Source
Spark
Spring
Spring Boot
Unit Testing
Description
• 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 the 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 solve 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 • Providing strategic guidance and advice in a true partnership with executive leadership
Requirements
• Bachelors of Science in Computer Science or related engineering discipline • 8+ years of relevant, broad engineering experience • Solid data structures and algorithms foundation • Expert-level understanding of at least one JVM language preferably Java • Advanced understanding of the JVM internals, JVM Runtime, JVM GC, and JVM performance tuning • Advanced understanding of Spring Framework, Spring Boot, and Spring Cloud • Deep understanding of applicable unit and integration testing, and testing frameworks • Deep understanding of Relational and Non-relational databases • Strong understanding of big data stack, e.g. Hadoop, Kafka, Spark, etc • Experience architecting, developing, and deploying distributed systems • Excellent knowledge of Linux and networking • Working knowledge of containerization and orchestration technologies preferably Docker and Kubernetes • Strong working knowledge of AWS Cloud computing platform • Open Source project contributions are a plus
Benefits
• Working in a dynamic startup environment • Competitive salary and benefits • Potential travel between East • Growth stage startup grind!
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