Backend Engineer
Job Description
Our Stack
Within the Wholesale Banking Advanced Analytics team we mainly use the following technologies and frameworks:
Execution
- Docker / Kubernetes / Openshift
Back End Expectations
- Proficience with atleast 1 statically typed language: Scala / Kotlin / Golang
- API Development and maintainence: From Authentication, Authorisation to Monitoring, you can single handedly develop production ready APIs
- Resilience and Reliability optimisation: From implementation of Backpressure, Load Balancing, Stress Testing Routines, we expect you to ensure stability of the solutions.
Data Processing
- Apache Spark (distributed computing on Kubernetes)
- Apache Flink
- Apache Airflow
Storage
- Ceph (S3)
- RDBMS we prefer MsSQL Server, but proficience with at least 1 DB is a nice to have.
- Kafka
- NoSQL, Apache Cassandra
Contact consultant: (Vu Ngo Thu Thao)
- Email: [Confidential Information]
- Skype: [HIDDEN TEXT]
- Linkedin: https://www.linkedin.com/in/thuthaovungo/
