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Data Infrastructure Engineer

Role overview

Qualifications

  • Deep expertise in Kubernetes and Amazon EKS
  • Proficiency in Terraform, Helm, Docker, and Karpenter
  • Minimum rating of 3 in deploying and managing Data OSS software, including Trino, Spark, or Pinot
  • Strong familiarity with Data Lakes, Spark, and Hive architectures

Responsibilities

  • Architect and deploy Open Source Data OSS (Trino, Spark, Pinot, Druid) on Amazon EKS
  • Maintain a 100% hands-on approach, utilizing IDEs, Git, and strict coding best practices to manage infrastructure as code
  • Navigate complex customer hierarchies and technical landscapes to identify, propose, and implement bespoke solutions
  • Design and implement novel, high-risk solutions that have not been previously established

Key facts

Other skills

  • Problem Solving
  • Collaboration

About the company

Metal Toad logo

Metal Toad

IT Services & IT Consulting

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.

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size11 - 50

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Job description

About Metal Toad

Metal Toad is an Advanced AWS Consulting Partner that empowers organizations to innovate through artificial intelligence, cloud migration, cost optimization, and application modernization. We help our customers with their cloud adoption by providing architecture, migration, optimization, machine learning, and even 24/7 support. We are a professional services firm providing services in software engineering and the cloud. We do Technical consulting, Programming & Quality Assurance, DevOps, Applications, UX, Product management, and Project management.

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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