Senior Cloud Platform Engineer - Go, Kubernetes, Infra Reliability

IBM Computing

Dallas (TX)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

IBM Software in Dallas seeks a Senior Platform Engineer to design, build, and evolve internal infra services using Go and Kubernetes across a global cloud platform. You will own scalable, secure, observable systems and collaborate across teams to enable fast, safe deployments; participate in on-call rotations.

The role requires strong Linux networking knowledge and experience with GitOps, Terraform, Prometheus, and Grafana in large-scale environments.

Qualifications

  • Strong programming skills in Go, Java, or Python and understanding of large-scale systems.
  • Deep understanding of filesystems, memory, networking, and kernel behavior.
  • Experience with Kubernetes in production and cloud platforms (AWS, GCP, Azure).
  • Expertise in GitOps, Terraform, CI/CD, and observability.

Responsibilities

  • Design, build, and evolve internal infrastructure services in Go, often as Kubernetes operators.
  • Own secure, scalable, observable, and reliable cloud infrastructure.
  • Collaborate with engineers to enable fast, safe deployments.
  • Take responsibility for availability, performance, monitoring, incidents, and capacity.
  • Work at scale across many instances and regions.
  • Influence architecture and operational strategy of core infrastructure.
  • Participate in a follow-the-sun on-call rotation.

Skills

Go/Java/Python
Kubernetes
GitOps
Terraform
CI/CD
Prometheus
Grafana
Linux networking

Tools

Kubernetes
Prometheus
Grafana
Terraform

Job description

IBM Software in Dallas seeks a Senior Platform Engineer to design, build, and evolve internal infra services using Go and Kubernetes across a global cloud platform. You will own scalable, secure, observable systems and collaborate across teams to enable fast, safe deployments; participate in on-call rotations.

The role requires strong Linux networking knowledge and experience with GitOps, Terraform, Prometheus, and Grafana in large-scale environments.

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