Data Caching Engineer
barclays
Job Description
To be successful as a Data Caching Engineer you should have experience with:
- In-Memory Caching Technologies (any one is a must): Redis, GridGain, Apache Ignite, Oracle Coherence.
- Programming Languages (expert in any one) : Java, Python.
- Cloud & Container Platforms (expert in any one platform): RedHat OpenShift, AWS, Azure.
- DevOps Tools: Ansible, Chef, Kubernetes, GitLab.
- Monitoring & Logging: ELK Stack.
Some other highly valued skills may include:
- Strong understanding of Agile development methodologies.
- Solid knowledge of API development and integration principles.
- Proven ability to align cross-functional teams on priorities and deliverables.
- Experience driving automation to enhance operational efficiency.
- A mindset of continuous improvement and technical excellence.