Senior DevOps Engineer

New
L
Luxury PresenceReal estate technology
Latin AmericaFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
AWSKubernetesTerraformGitHub Actions

Requirements

  • Senior-level experience in SRE, DevOps, or Platform Engineering.
  • Experience building and operating production infrastructure at scale and owning a significant workstream end to end.
  • Active, opinionated use of AI development tools such as Claude Code or Codex in infrastructure workflows.
  • Deep Kubernetes (EKS) and AWS experience, including IAM, VPC, ECR, SSM/Secrets Manager, S3, SQS, Lambda, and RDS/Aurora.
  • Strong Terraform and GitOps experience, including PR-driven apply workflows such as Atlantis and ArgoCD.
  • CI/CD experience with GitHub Actions, including caching, parallelism, artifact management, test reliability, and pipeline observability.
  • Experience carrying on-call for systems you built and driving incidents from detection through follow-up.
  • Ability to translate platform constraints into developer-friendly solutions and documentation.
  • Bonus: experience with workload or service identity, SPIFFE/SPIRE, OIDC, short-lived credentials, Vault, or policy enforcement.
  • Bonus: experience building self-service developer platforms, ephemeral environments, CLIs, scaffolding tools, or internal developer portals.
  • Bonus: experience building cost attribution, budgets, or rightsizing into a platform.

Responsibilities

  • Build and operate the self-service infrastructure platform.
  • Build and operate CI/CD pipelines, GitOps delivery with ArgoCD, an IaC module catalog, and service scaffolding.
  • Develop reusable platform primitives for agent isolation, workload identity, audit trails, and approval gates.
  • Build validation capabilities, including ephemeral PR environments and security, performance, and load-testing gates.
  • Make gate and test results machine-readable and usable outside the PR workflow.
  • Create dashboards and operational controls for platform reliability, gate results, approvals, self-service, cost attribution, and DORA metrics.
  • Carry on-call for owned platform surfaces and run incidents from detection through follow-up.
  • Turn recurring operational toil into automation and reusable runbooks.
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