Senior Cloud Reliability Engineer — Go / Kubernetes

IBM; Markham; On-site; GBP 85,000 - 120,000; Full time

Job summary

IBM Software is seeking a Cloud Reliability Engineer to design, deploy, and run scalable cloud-native infrastructure for our AI-powered platforms. You will join a cross-functional team responsible for reliability, security, and operability at scale across Confluent-backed services.

We look for deep expertise in distributed systems, Kubernetes, Go, and service mesh technologies, with a track record of running high-availability production environments and driving automation in a fast-paced,

Qualifications

• Experience building mission-critical, highly available production systems.
• Strong knowledge of distributed systems design and operational excellence.
• Proficient in Kubernetes-based architectures and cloud-native patterns.
• Experience with Go and statically typed languages in polyglot environments.
• Ability to drive automation and incident response in large-scale environments.

Responsibilities

• Design, implement, and maintain scalable infrastructure and internal tooling.
• Develop core software systems for incident management and automation.
• Collaborate with teams to improve reliability, security, and observability.
• Lead remediation workflows and performance optimizations for Tier-0 services.
• Advance security through access controls and auditing practices.
• Partner with cross-functional teams to improve deployment velocity.

Skills

Distributed systems

Cloud-scale infrastructure

High-availability production

Kubernetes

Go

Service mesh

gRPC

Elixir

Polyglot programming

Analytical mindset

Education

Master's Degree

Tools

gRPC

Service mesh

Elixir

Job description

IBM Software is seeking a Cloud Reliability Engineer to design, deploy, and run scalable cloud-native infrastructure for our AI-powered platforms. You will join a cross-functional team responsible for reliability, security, and operability at scale across Confluent-backed services.

We look for deep expertise in distributed systems, Kubernetes, Go, and service mesh technologies, with a track record of running high-availability production environments and driving automation in a fast-paced,