Cloud Platform Engineer – Kubernetes (Toronto)

Cloud Platform Engineer – Kubernetes (Toronto)

15 Oct
|
KData AI
|
Toronto

15 Oct

KData AI

Toronto

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.
- Robust 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.

📌 Cloud Platform Engineer – Kubernetes (Toronto)
🏢 KData AI
📍 Toronto

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