KData AI
Cloud Platform Engineer – Kubernetes
Skills
11 days ago
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Important information
Contract type:
Permanent
Location:
Toronto, ON, Canada
Work mode:
Onsite
Published on:
14 October 2026
What they need
Role Overview
We are looking for an experienced Cloud Platform Engineer with deep Kubernetes expertise to join a platform engineering team supporting enterprise cloud environments and application teams.
The role combines hands-on Kubernetes engineering and troubleshooting with broader cloud platform responsibilities, including infrastructure-as-code, automation and engineering through GitHub-based workflows.
The successful candidate must be capable of going beyond basic Kubernetes administration and independently diagnosing and resolving complex Kubernetes and container-platform issues.
Key Responsibilities
- Engineer, operate and troubleshoot enterprise Kubernetes platform capabilities.
- Diagnose complex Kubernetes issues across clusters, workloads and supporting platform services.
- Support application teams deploying and operating workloads on shared cloud platforms.
- Investigate Kubernetes-related support requests and drive technical issues through resolution.
- Develop and maintain cloud infrastructure using Terraform and reusable infrastructure-as-code patterns.
- Work within GitHub-based engineering repositories and CI/CD workflows.
- Develop automation and supporting tooling using Python ; experience with Go is beneficial.
- Understand and troubleshoot interactions between Kubernetes, cloud networking and surrounding infrastructure.
- Collaborate with internal engineering teams and client/application teams while working to externally driven delivery priorities.
- Contribute to the evolution, reliability and maintainability of shared cloud platform services.
Requirements
Required Skills
- Deep hands-on Kubernetes experience , including the ability to independently debug and troubleshoot complex platform and workload issues.
- Strong cloud platform engineering background.
- Experience with Terraform and infrastructure-as-code.
- Strong experience using GitHub for source control and collaborative engineering.
- Development or automation experience using Python .
- Understanding of cloud networking and the connectivity requirements of Kubernetes-based platforms.
- Strong troubleshooting and root-cause-analysis skills.
- Ability to work directly with application/client teams and independently resolve technical problems.
Additional Assets
- Experience with Go .
- Familiarity with GitHub Actions and CI/CD workflows; deep workflow-development expertise is not essential.
- Experience with managed database services.
- Experience with cloud security capabilities such as Key Vault and customer-managed encryption keys.
- Experience developing reusable enterprise cloud platform components.
- Experience working in a large, regulated enterprise environment.
Ideal Profile
The ideal candidate is a Kubernetes specialist with broad cloud platform engineering skills—not simply someone who has deployed workloads to Kubernetes. They should be comfortable getting into a difficult Kubernetes problem, diagnosing what is happening and resolving it, while also being able to work with Terraform, Python, GitHub and the broader cloud infrastructure surrounding the platform.
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