Data Infrastructure Engineer [Talents Bench]

Metal Toad

São Paulo

Híbrido

BRL 240 000 - 360 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

Metal Toad is seeking a highly technical Data Infrastructure Engineer to design and operate scalable Open Source data platforms (Trino, Pinot, Druid) inside a Kubernetes-based EKS environment. This hands-on role focuses on building robust, scalable data infrastructure using OSS technologies and IaC practices.

You will work with complex customer environments, delivering production-ready solutions while collaborating with Open Source communities and maintaining strong coding standards.

Qualificações

  • Fluent English communication is essential.
  • Deep expertise in Kubernetes and Amazon EKS is required.
  • Proficiency with Terraform, Helm, Docker, and Karpenter for infra tooling.

Responsabilidades

  • Architect and deploy Open Source Data OSS (Trino, Spark, Pinot, Druid) on Amazon EKS.
  • Maintain a 100% hands-on approach, using IDEs, Git, and infrastructure as code.
  • Navigate complex customer hierarchies and technical landscapes to identify, propose, and implement bespoke solutions.
  • Design and implement novel, high-risk data infrastructure solutions that push boundaries of standard implementations.
  • Act as a subject-matter expert in Open Source technologies, ensuring builds are well-architected and production-ready.

Conhecimentos

English proficiency

Ferramentas

Kubernetes (K8s)
Amazon EKS
Terraform
Helm
Docker
Karpenter
Trino
Spark
Pinot
Druid
Hive

Descrição da oferta de emprego

About Metal Toad

Metal Toad is a strategic AI partner. We help our customers to use AI to build the engines of their future growth, aligning AI’s capabilities with their most important business opportunities. We are an AWS, Anthropic, and OpenAI partner.

Our team includes consultants, software engineers, devops engineers, UX designers, project managers, marketers, and supporting staff. It should go without saying, but everyone working at Metal Toad should be interested in the impact of AI, and believe in a human-first, AI-enabled future.

Job Description

We are looking for a highly technical, hands-on Data Infrastructure Engineer to join our team. This is not a standard Data Engineering role; instead, you will focus on building robust, scalable Data Infrastructure platforms using Open Source software. Your primary mission is to deploy and manage high-performance data technologies—such as Apache Pinot, Apache Druid, and Trino—within a well-architected Amazon EKS environment.

You will work on pioneering, high-risk technical solutions, navigating complex customer environments to deliver cutting-edge infrastructure that pushes the boundaries of standard implementations.

Responsibilities
Key Responsibilities
  • Infrastructure Implementation: Architect and deploy Open Source Data OSS (Trino, Spark, Pinot, Druid) on Amazon EKS.
  • Hands-on Development: Maintain a 100% hands-on approach, utilizing IDEs, Git, and strict coding best practices to manage infrastructure as code.
  • Problem Solving: Navigate complex customer hierarchies and technical landscapes to identify, propose, and implement bespoke solutions.
  • Pioneering Work: Design and implement novel, high-risk solutions that have not been previously established.
  • Collaboration: Act as a subject-matter expert in Open Source technologies, ensuring all builds are well-architected and production-ready.
QUALIFICATIONS REQUIRED
  • Agree with our Corporate Values Statement.
  • Believes in the company's mission: to help people.
  • Believes in the principles of open source.
  • Advanced to fluent English communication skills are essential for this role.
  • Kubernetes/EKS: Deep expertise in Kubernetes and Amazon EKS is a must-have.
  • Core Infrastructure Tooling: Proficiency in Terraform, Helm, Docker, and Karpenter.
  • Data OSS Expertise: Minimum rating of 3 (on a 5-point scale) in deploying and managing Data OSS software, including Trino, Spark, or Pinot.
  • Data Foundations: Strong familiarity with Data Lakes, Spark, and Hive architectures.
  • Versatility: A demonstrated willingness to work with non-AWS and broad Open Source ecosystems.
  • Soft Skills: High comfort level engaging with complex customer environments and an aptitude for high-stakes technical troubleshooting.
NICE TO HAVE
  • Prior hands-on experience working with Fruitstand.
  • Demonstrated history of contributing to or managing complex open-source projects in production environments.
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