Mid/Senior Cloud DevOps Engineer
C
CodiLimeCloud infrastructure
Source API remote eligibility restrictions: Brazil, Working-hours overlap with Central European TimeFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluency in English (minimum B2 level)
- Experience
- 4+ years of experience in DevOps, cloud or platform engineering roles
- Required Skills
- BashKubernetesMicrosoft AzureCI/CDLinuxTerraform
Requirements
- Have 4+ years of experience in DevOps, cloud or platform engineering roles.
- Bring hands-on Microsoft Azure experience, particularly AKS, networking, identity, Microsoft Entra, workload identity, Key Vault, Azure DNS and storage.
- Have good knowledge of GCP, particularly GKE, IAM, Cloud DNS, storage and managed databases.
- Have hands-on Infrastructure as Code experience with Terraform, including modules and a reviewed workflow.
- Have hands-on CI/CD pipeline experience, such as GitLab CI, including automated tests and releases.
- Have good knowledge of Kubernetes and Linux.
- Have experience with GitOps tools such as Flux or Argo CD.
- Have experience with production-grade deployments.
- Know a scripting language such as Bash or Python.
- Have experience working with customers or technical stakeholders on a shared codebase.
- Be fluent in English at a minimum B2 level.
- Be ready to work in an international environment with working hours that overlap with Central European Time.
Responsibilities
- Analyze the existing GCP-based platform and cloud infrastructure code, and propose an Azure equivalent for each GCP dependency.
- Design the target Azure environment, including subscriptions, networking, AKS, identity, secrets, DNS, container registry, storage and databases.
- Build the Azure environment as code with Terraform through the customer's review and deployment flow.
- Port platform components to AKS using the existing Flux GitOps workflow and per-provider patterns.
- Prepare CI/CD changes and automation so releases are built, deployed and tested on Azure.
- Help choose an approach to managing cloud resources from Kubernetes while avoiding new vendor lock-in.
- Support application teams as they move services and fix platform issues they identify.
- Pair with customer engineers, document the work and deliver a final knowledge-transfer session.
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