Job opportunity
Cloud Platform Engineer – Kubernetes
KData Inc.
Downtown Toronto (Toronto Dominion Centre / Design Exchange), Canada
City Downtown Toronto (Toronto Dominion Centre / Design Exchange)
Country Canada
Job Description
Role Overview
We are looking for an experienced Cloud Platform Engineerwith deep Kubernetes expertise to join a platform engineeringteam supporting enterprise cloud environments and application teams.
The role combines hands-on Kubernetes engineering andtroubleshooting with broader cloud platform responsibilities, includinginfrastructure-as-code, automation and engineering through GitHub-basedworkflows.
The successful candidate must be capable of going beyondbasic Kubernetes administration and independently diagnosing and resolvingcomplex Kubernetes and container-platform issues.
Key Responsibilities
Engineer,operate and troubleshoot enterprise Kubernetes platformcapabilities.
Diagnosecomplex Kubernetes issues across clusters, workloads and supportingplatform services.
Supportapplication teams deploying and operating workloads on shared cloudplatforms.
InvestigateKubernetes-related support requests and drive technical issues throughresolution.
Developand maintain cloud infrastructure using Terraform andreusable infrastructure-as-code patterns.
Workwithin GitHub-based engineering repositories and CI/CD workflows.
Developautomation and supporting tooling using Python ; experiencewith Go is beneficial.
Understandand troubleshoot interactions between Kubernetes, cloud networking andsurrounding infrastructure.
Collaboratewith internal engineering teams and client/application teams while workingto externally driven delivery priorities.
Contributeto the evolution, reliability and maintainability of shared cloud platformservices.
Requirements
Required Skills
Deephands-on Kubernetes experience , including the ability to independentlydebug and troubleshoot complex platform and workload issues.
Experiencewith Terraform and infrastructure-as-code.
Strongexperience using GitHub for source control andcollaborative engineering.
Understandingof cloud networking and the connectivity requirements of Kubernetes-basedplatforms.
Strongtroubleshooting and root-cause-analysis skills.
Abilityto work directly with application/client teams and independently resolvetechnical problems.
Additional Assets
Experiencewith Go .
Familiaritywith GitHub Actions and CI/CD workflows; deepworkflow-development expertise is not essential.
Experiencewith managed database services.
Experiencewith cloud security capabilities such as Key Vault and customer-managedencryption keys.
Experiencedeveloping reusable enterprise cloud platform components.
Experienceworking in a large, regulated enterprise environment.
Ideal Profile
The ideal candidate is a Kubernetes specialist with broadcloud platform engineering skills—not simply someone who has deployed workloadsto Kubernetes. They should be comfortable getting into a difficult Kubernetesproblem, diagnosing what is happening and resolving it, while also being ableto work with Terraform, Python, GitHub and the broader cloud infrastructuresurrounding the platform.
#J-18808-Ljbffr
Apply on source site City Downtown Toronto (Toronto Dominion Centre / Design Exchange)
Country Canada
Job Description
Role Overview
We are looking for an experienced Cloud Platform Engineerwith deep Kubernetes expertise to join a platform engineeringteam supporting enterprise cloud environments and application teams.
The role combines hands-on Kubernetes engineering andtroubleshooting with broader cloud platform responsibilities, includinginfrastructure-as-code, automation and engineering through GitHub-basedworkflows.
The successful candidate must be capable of going beyondbasic Kubernetes administration and independently diagnosing and resolvingcomplex Kubernetes and container-platform issues.
Key Responsibilities
Engineer,operate and troubleshoot enterprise Kubernetes platformcapabilities.
Diagnosecomplex Kubernetes issues across clusters, workloads and supportingplatform services.
Supportapplication teams deploying and operating workloads on shared cloudplatforms.
InvestigateKubernetes-related support requests and drive technical issues throughresolution.
Developand maintain cloud infrastructure using Terraform andreusable infrastructure-as-code patterns.
Workwithin GitHub-based engineering repositories and CI/CD workflows.
Developautomation and supporting tooling using Python ; experiencewith Go is beneficial.
Understandand troubleshoot interactions between Kubernetes, cloud networking andsurrounding infrastructure.
Collaboratewith internal engineering teams and client/application teams while workingto externally driven delivery priorities.
Contributeto the evolution, reliability and maintainability of shared cloud platformservices.
Requirements
Required Skills
Deephands-on Kubernetes experience , including the ability to independentlydebug and troubleshoot complex platform and workload issues.
Experiencewith Terraform and infrastructure-as-code.
Strongexperience using GitHub for source control andcollaborative engineering.
Understandingof cloud networking and the connectivity requirements of Kubernetes-basedplatforms.
Strongtroubleshooting and root-cause-analysis skills.
Abilityto work directly with application/client teams and independently resolvetechnical problems.
Additional Assets
Experiencewith Go .
Familiaritywith GitHub Actions and CI/CD workflows; deepworkflow-development expertise is not essential.
Experiencewith managed database services.
Experiencewith cloud security capabilities such as Key Vault and customer-managedencryption keys.
Experiencedeveloping reusable enterprise cloud platform components.
Experienceworking in a large, regulated enterprise environment.
Ideal Profile
The ideal candidate is a Kubernetes specialist with broadcloud platform engineering skills—not simply someone who has deployed workloadsto Kubernetes. They should be comfortable getting into a difficult Kubernetesproblem, diagnosing what is happening and resolving it, while also being ableto work with Terraform, Python, GitHub and the broader cloud infrastructuresurrounding the platform.
#J-18808-Ljbffr