Java HPC Engineer: Cluster & Azure Infra

Bank Julius Bär & Co. Ltd.

Zürich

On-site

CHF 140,000 - 210,000

Full time

3 days ago
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Job summary

Julius Baer is seeking a Java Engineer to maintain and scale a high-performance computing infrastructure. You will work on Java-based cluster scheduling, Apache Ignite, and monitoring across on-premises and Azure resources.

The role emphasizes reliability, regulatory awareness, and collaboration with stakeholders to balance resources and business needs. The ideal candidate brings strong Java expertise, experience with distributed systems, messaging and NoSQL stacks, plus comfort with Python

Qualifications

  • Proficient in Java development with enterprise experience.
  • Experience with distributed systems and clustering technologies.
  • Experience with messaging systems (ActiveMQ) and NoSQL databases.
  • Familiarity with Azure cloud, Java/Python tooling, and Linux environments.
  • Fluent English; German a plus.
  • Bonus skills in Scala, C++, Kubernetes and multithreaded Java development.

Responsibilities

  • Maintain and evolve Java-based cluster scheduling and control systems.
  • Ensure high availability of HPC resources.
  • Enhance monitoring for infrastructure and client submissions.
  • Collaborate with internal stakeholders on resource allocation.

Skills

Java development
Distributed systems
Python API tooling
Java multithreading
Scala
C++
Kubernetes

Tools

ActiveMQ
NoSQL databases
Apache Ignite
Azure Portal / Azure SDK for Java
Red Hat Linux
MongoDB / Elastic/Kibana

Job description

Julius Baer is seeking a Java Engineer to maintain and scale a high-performance computing infrastructure. You will work on Java-based cluster scheduling, Apache Ignite, and monitoring across on-premises and Azure resources.

The role emphasizes reliability, regulatory awareness, and collaboration with stakeholders to balance resources and business needs. The ideal candidate brings strong Java expertise, experience with distributed systems, messaging and NoSQL stacks, plus comfort with Python

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