Infrastructure Architect

Bebeecloudnative; Manaus; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology company in Brazil is seeking a DevOps Engineer to shape the infrastructure for AI and fintech. The role involves handling high-traffic systems, designing scalable cloud-native systems on AWS, and managing Kubernetes clusters. Ideal candidates should have 7+ years of experience in DevOps, a robust background with LAMP, and a keen eye for automation. This is a unique opportunity to partner with product engineers and security teams to drive growth infrastructure.

Qualificações

• 7+ years of experience in DevOps or Cloud Engineering.
• Strong proven track record with LAMP.
• Deep understanding of Linux, containers, and cloud-native security.
• Proven ability to scale systems to handle high-volume workloads.
• Eye for automation eliminating manual work.

Responsabilidades

• Handle high-traffic systems that power millions worldwide.
• Design cloud-native systems on AWS that are scalable and secure.
• Own Kubernetes clusters: architecture, automation, observability.
• Build Terraform modules, automate everything with best tools.
• Partner with product engineers, security, and leadership.

Conhecimentos

DevOps practices

Cloud engineering

Automation

Linux

Containerization

Descrição da oferta de emprego

DevOps Engineer

We're shaping the infrastructure for AI, fintech, and more.

Responsibilities

• Our engineers handle high-traffic systems that power millions worldwide.
• Design cloud-native systems on AWS that are scalable and secure.
• Own Kubernetes clusters : architecture, automation, observability.
• Build Terraform modules, automate everything with best tools.
• Partner directly with product engineers, security, and leadership to ship accelerating growth infrastructure.

Requirements

• 7+ years of experience in DevOps or Cloud Engineering.
• Strong proven track record with LAMP.
• A deep understanding of Linux, containers, and cloud-native security.
• Proven ability to scale systems to handle high-volume workloads.
• An eye for automation eliminating manual work.