Infrastructure Engineer (Azure / Kubernetes / Docker / Terraform)

Quil; Brasil; Teletrabalho; BRL 120 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible remote work environment

Opportunity to work on AI infrastructure

Resumo da oferta

A technology company in Brazil is seeking an experienced Infrastructure Engineer to design and manage scalable infrastructure on Azure. You will leverage tools like Terraform, Kubernetes, and Docker to ensure reliability for AI applications. The ideal candidate will have at least 3 years of experience in a similar role and a passion for cloud technologies. This full-time position offers a flexible remote work environment, making it an exciting opportunity to support cutting-edge AI workloads.

Qualificações

• 3+ years of experience as an Infrastructure Engineer, DevOps Engineer, or Cloud Engineer.
• Proven experience managing environments on Microsoft Azure (AKS, Networking, Load Balancing, Storage, IAM).
• Advanced proficiency with Terraform (modules, workspaces, state management, CI/CD integration).
• Strong experience with Kubernetes (Helm, ingress controllers, autoscaling, secrets, namespaces).
• Proficiency with Docker (container lifecycle management, image optimization).

Responsabilidades

• Design, deploy, and manage Azure Cloud infrastructure using Terraform.
• Build and maintain Kubernetes clusters for containerized workloads.
• Create and optimize Docker images and container deployments.
• Develop and enhance CI/CD pipelines for infrastructure delivery.
• Implement monitoring and alerting solutions.

Conhecimentos

Infrastructure Management

Cloud Services (Azure)

Terraform

Kubernetes

Docker

CI/CD Pipelines

Bash Scripting

Networking

Ferramentas

Terraform

Docker

Kubernetes

Azure DevOps

Prometheus

Grafana

Descrição da oferta de emprego

Join to apply for the Infrastructure Engineer (Azure / Kubernetes / Docker / Terraform) role at Quil

Overview

We are seeking an experienced Infrastructure Engineer to design, implement, and manage scalable, secure, and automated infrastructure for our AI-driven platforms.

As part of our engineering team, you will help build and maintain cloud-native environments on Microsoft Azure using Terraform, Kubernetes, and Docker, ensuring the performance, reliability, and scalability of the systems that power our AI products and services.

This role offers the opportunity to work with cutting-edge infrastructure technologies that support advanced AI workloads and data-driven applications.

Key Responsibilities

• Design, deploy, and manage Azure Cloud infrastructure using Terraform for Infrastructure as Code (IaC).
• Build and maintain Kubernetes clusters (AKS) for scalable, containerized AI and data workloads.
• Create, manage, and optimize Docker images, registries, and container deployments.
• Develop and enhance CI/CD pipelines (GitHub Actions, Azure DevOps, or Jenkins) for infrastructure and application delivery.
• Implement monitoring, logging, and alerting solutions using tools like Prometheus, Grafana, Azure Monitor, or ELK stack.
• Collaborate with software, data, and ML engineering teams to ensure infrastructure reliability and seamless deployment of AI applications.
• Apply security, compliance, and cost optimization best practices across environments.
• Troubleshoot complex infrastructure and networking issues across production and staging systems.
• Contribute to disaster recovery, scalability, and performance optimization strategies.

Required Skills & Experience

• 3+ years of experience as an Infrastructure Engineer, DevOps Engineer, or Cloud Engineer.
• Proven experience managing environments on Microsoft Azure (AKS, Networking, Load Balancing, Storage, IAM).
• Advanced proficiency with Terraform (modules, workspaces, state management, CI/CD integration).
• Strong experience with Kubernetes (Helm, ingress controllers, autoscaling, secrets, namespaces).
• Proficiency with Docker (container lifecycle management, image optimization, private registries).
• Experience designing and maintaining CI/CD pipelines for cloud-based infrastructure.
• Scripting or automation experience with Bash or PowerShell.
• Solid understanding of networking, observability, and security best practices in cloud-native environments.

Nice-to-Have

• Experience with Docker Compose and Docker Swarm.
• Familiarity with Ansible, Chef, or Puppet for configuration management.
• Experience managing or deploying MongoDB in cloud or containerized environments.
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant) or AI infrastructure tools (e.g., MLflow, Weights & Biases, Ray, LangChain, OpenAI API).
• Knowledge of service mesh technologies (e.g., Istio, Linkerd).
• Exposure to DevSecOps and SRE principles.
• Relevant certifications such as Microsoft Certified: Azure Administrator or Azure Solutions Architect Expert.

What We Offer

• Flexible remote work environment.
• Opportunity to work on infrastructure supporting cutting-edge AI and machine learning workloads.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Software Development

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