Data Infrastructure Engineer [Talents Bench]

Posted 18 Days Ago
Be an Early Applicant
Hiring Remotely in São Paulo, BRA
In-Office or Remote
Entry level
Cloud • Information Technology
The Role
Build and manage scalable open-source data infrastructure on Amazon EKS. Deploy and operate Trino, Spark, Pinot, and Druid using Terraform, Helm, Docker, and Karpenter. Develop infrastructure as code, solve complex customer technical challenges, and implement novel, production-ready solutions across AWS and broader open-source ecosystems. The role requires deep Kubernetes expertise, hands-on troubleshooting, strong data-platform knowledge, and advanced English communication skills.
Summary Generated by Built In

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.

To apply for this position, please submit your resume in English as a PDF.

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.

Skills Required

  • Agreement with the company's Corporate Values Statement
  • Belief in the company's mission to help people
  • Belief in open-source principles
  • Advanced to fluent English communication skills
  • Deep expertise in Kubernetes and Amazon EKS
  • Proficiency in Terraform, Helm, Docker, and Karpenter
  • At least a 3 out of 5 rating in deploying and managing data open-source software, including Trino, Spark, or Pinot
  • Strong familiarity with data lakes, Spark, and Hive architectures
  • Willingness to work with non-AWS technologies and broad open-source ecosystems
  • Comfort engaging with complex customer environments and high-stakes technical troubleshooting
  • Prior hands-on experience working with Fruitstand
  • Experience contributing to or managing complex open-source projects in production environments
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The Company
HQ: Portland, OR
46 Employees
Year Founded: 2003

What We Do

Metal Toad is a Cloud Partner who delivers AWS Machine Learning & Media Solutions. Not just an AWS managed services provider with a machine learning specialty, Metal Toad provides high quality consulting, development, application support, and managed services at an affordable rate via their hybrid onshore + nearshore North American & Brazilian team. We have helped develop award-winning consumer-facing applications for industry leaders like Sony, Daimler, Intel, the Golden Globes, Siemens Wind Power, ABC, NBC, DC Comics, Warner Brothers, & the Linux Foundation.

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