Devops Engineer

Flowmentum, Inc.; Bauru; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology firm in Brazil is seeking an experienced DevOps Engineer to design and deploy cloud-native systems on AWS. Candidates should have over 7 years of experience in DevOps or Cloud Engineering, with strong expertise in AWS, Kubernetes, and Terraform. Responsibilities include mentoring teammates and ensuring systems operate at 99.99% uptime. The ideal candidate possesses strong scripting abilities and excellent communication skills in a collaborative environment.

Qualificações

• 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).

Responsabilidades

• 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.

Conhecimentos

DevOps

Cloud Engineering

Site Reliability Engineering

AWS

Kubernetes

Terraform

Linux

Python

Go

Bash

Descrição da oferta de emprego

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.