DevOps Engineer

3 semanas atrás

Rio de Janeiro, Brasil Flowmentum, Inc. Tempo inteiro

We’re Flowmentum and our clients are fast-moving teams building reliable, scalable, and secure infrastructure for companies shaping the future of AI, fintech, cloud services, and beyond.

Our engineers work on high-traffic, mission-critical systems that power millions of users across the globe.

We believe in autonomy, ownership, and solving hard problems — at scale. If you’re passionate about infrastructure done right, we want you on the team.



What You’ll Do:

  • Design and deploy cloud-native systems on AWS, that just work — at scale.
  • Own Kubernetes clusters: architecture, automation, observability, and performance tuning.
  • Build Terraform modules and GitOps pipelines to make deployments boring (in a good way).
  • Create CI/CD pipelines that are fast, reliable, and get new features into production safely.
  • Automate everything — provisioning, monitoring, security — with the best tools for the job.
  • Push systems to 99.99% uptime across billions of transactions a year.
  • Partner directly with product engineers, security, and leadership to ship infrastructure that accelerates growth.
  • Mentor teammates, review pull requests, and help define best practices as we scale.

You Should Have:

  • 7+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
  • Strong Proven track record with LAMP (Linux Apache Mysql PHP)
  • Strong real-world experience with AWS, Kubernetes, and Terraform.
  • A 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.
  • An eye for automation and eliminating manual work wherever you find it.
  • Startup or growth-stage experience (bonus points).
  • Excellent async 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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