[Confluent] Senior Software Engineer II - Kafka

IBM

Poughkeepsie (AR)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Job summary

IBM in the United States is seeking an experienced engineer to design and develop the compute layer for Kora, a cloud-native event streaming platform. You will own end-to-end technical solutions to ensure high availability, scalability, and security for multi-tenant environments.

The role requires a CS degree or equivalent experience, 4+ years in cloud infrastructure, and strong proficiency in Java or Go, with a solid foundation in distributed systems and modern JVM languages.

Qualifications

  • Degree in Computer Science or equivalent experience.
  • 4+ years of cloud infrastructure experience.
  • Proficiency in statically typed languages such as Java or Go.
  • Strong foundation in distributed systems.

Responsibilities

  • Design and develop the compute layer for Kora.
  • Drive end-to-end technical solutions to ensure high availability, scalability, and security for multi-tenant environments.

Skills

Java
Scala
C/C++
Go
Distributed Systems
Cloud Infrastructure
Apache Kafka
JVM
Distributed Storage
Public Cloud
CI/CD Pipelines
Agile Methodology
Multi-tenancy
Resource Management
QoS
Systems Operations

Education

Bachelors in Computer Science or equivalent

Job description

The role involves designing and developing the compute layer for Kora, a cloud-native event streaming platform. You will drive technical solutions end-to-end to ensure high availability, scalability, and security for multi-tenant environments.

Requirements

Candidates need a degree in Computer Science or equivalent experience and 4+ years of cloud infrastructure experience. Proficiency in statically typed languages like Java or Go and a strong foundation in distributed systems are required.

Key Skills
  • Java
  • Scala
  • C/C++
  • Go
  • Distributed Systems
  • Cloud Infrastructure
  • Apache Kafka
  • JVM
  • Distributed Storage
  • Public Cloud (AWS, Azure, GCP)
  • CI/CD Pipelines
  • Agile Methodology
  • Multi-tenancy
  • Resource Management
  • QoS
  • Systems Operations
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