Kubernetes Platform Engineer - Real-Time Data Infra

IBM; Winchester; On-site; GBP 90,000 - 110,000; Full time

Job summary

IBM Software in the United Kingdom is seeking a highly skilled engineer to help build data infrastructure that enables real-time data in motion across cloud-native platforms. You will work with distributed systems, Kubernetes, and large-scale deployments to deliver reliable, scalable solutions for IBM clients.

Join a collaborative team that values curiosity, growth, and responsible use of data, with opportunities to advance within IBM's AI and cloud ecosystem.

Qualifications

• Strong fundamentals in distributed systems design and development.
• Good understanding of the Kubernetes ecosystem.
• Experience building and operating large-scale systems.
• Understanding of core systems operations, including storage, networking, and operating systems.
• Self-starter with the ability to work effectively in a team environment.
• Proficiency in Go, Python, C++, or other statically typed programming languages.
• Experience with public cloud platforms such as AWS, Azure, or GCP.

Responsibilities

• Contribute to building data infrastructure for real-time data in motion.
• Work on cloud-native platform enabling real-time data streaming.
• Collaborate with cross-functional teams to solve problems and deliver.
• Take ownership and roll up sleeves to realize potential.

Skills

Distributed systems

Kubernetes

Large-scale systems

Core systems operations

Go

Python

C++

Public cloud (AWS/Azure/GCP)

Education

Bachelor's Degree

Master's Degree

Job description

IBM Software in the United Kingdom is seeking a highly skilled engineer to help build data infrastructure that enables real-time data in motion across cloud-native platforms. You will work with distributed systems, Kubernetes, and large-scale deployments to deliver reliable, scalable solutions for IBM clients.

Join a collaborative team that values curiosity, growth, and responsible use of data, with opportunities to advance within IBM's AI and cloud ecosystem.