Infrastructure Specialist

2 semanas atrás

Curitiba, Paraná, Brasil beBeeCloud Tempo inteiro R$150.000 - R$250.000
Cloud Engineer

We are a team that empowers fast-moving companies to build reliable, scalable and secure infrastructure for the future of AI, fintech, cloud services and beyond.

Our engineers work on high-traffic systems that power millions of users globally.

We believe in autonomy, ownership and solving complex problems at scale. If you have a passion for infrastructure done right, we want you on our team.

Key Responsibilities:

  • Design and deploy cloud-native systems on AWS that work seamlessly at scale.
  • Owning Kubernetes clusters: architecture, automation, observability and performance tuning.
  • Building Terraform modules and GitOps pipelines to make deployments efficient.
  • Creating CI/CD pipelines that are fast, reliable and get new features into production safely.
  • Automating everything - provisioning, monitoring, security - with the best tools for the job.
  • Pushing systems to 99.99% uptime across billions of transactions annually.
  • Partnering directly with product engineers, security and leadership to ship infrastructure that accelerates growth.
  • Mentoring teammates, reviewing pull requests and helping define best practices as we scale.

Required Skills and Qualifications:

  • 7+ years of experience in DevOps, Cloud Engineering or Site Reliability Engineering.
  • Strong proven track record with LAMP (Linux Apache Mysql PHP).
  • Real-world experience with AWS, Kubernetes and Terraform.
  • Deep understanding of Linux, containers, networking and cloud-native security.
  • Proven ability to scale systems to handle high-volume, high-availability workloads.
  • Hands-on skills in scripting or coding - Python, Go or Bash are all great.
  • Eye for automation and eliminating manual work wherever found.
  • Startup or growth-stage experience (bonus points).
  • Excellent asynchronous communication skills (Slack, GitHub, Docs).

Bonus Points If You've:

  • Built infrastructure for AI/ML systems, SaaS or telco-scale apps.
  • Used tools like GitHub Actions, ArgoCD, Vault, Elastic Stack or EKS.
  • Led technical teams or been a mentor for junior engineers.
  • Got certifications like AWS Solutions Architect, CKA or Azure Admin.

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