Ajua
Senior Platform Engineer
Vaga remota de Platform Engineering com fit claro de localização do candidato.
Publicada1 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Quênia
Resumo da vaga
Senior Platform Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- 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
- Providing strategic guidance and advice in a true partnership with executive leadership
Basic 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
Working Conditions:
- Potential travel between East
- Growth stage startup grind! Working in a dynamic startup environment
- Competitive salary and benefits
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