Kafka Data Platform Engineer
About The Position
We are looking for a Kafka Data Platform Engineer who will be part of our Datahub team within our enterprise data organisation. The team provides a shared Kafka streaming platform and related services and developer tooling. Any service implemented is likely to rely on our Kafka infrastructure, which handles hundreds of thousands of messages per second with high expectations of availability and latency. You will be a part of a highly specialized and experienced team of six Data Platform Engineers that you can learn from and rely on for sparring and code reviews. As our new Kafka Data Platform Engineer, you'll have the opportunity to engage and collaborate with developers across Saxo. It is a great opportunity to use your experience with providing data platforms and apply this at the core of a trading system. The way we work is by implementing everything as code with continuous integration and delivery to production. We use technologies such as Kubernetes, Ansible, Terraform and Azure DevOps Services. To remain at the forefront of the industry, you'll stay updated with the latest advancements in Kafka technologies and apply relevant updates to our systems.
Requirements
- Outstanding attention to detail, a strong sense of ownership, and excellent collaboration skills.
- Proven experience with critical platforms, and strong skills in providing critical services on Linux and / or Kubernetes platforms.
- Experience with software development – e.g. using languages such as .NET, Java, or Python.
Nice To Haves
- Hands-on experience with running Kafka clusters and using technologies such as Protobuf, Prometheus, Grafana, Elasticsearch, Azure DevOps, Terraform or Ansible, or a desire to acquire these skills.
Responsibilities
- Deploy and manage mission critical Kafka clusters using both Kubernetes and Linux virtual machines.
- Monitoring and optimize for low latency and high availability across multiple on-premises data centers and cloud.
- Play a critical role in troubleshooting and resolving technical issues related to Kafka deployments, acting swiftly to minimize their impact.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
