Data Infrastructure Engineer

Metal Toad

Data Infrastructure Engineer building scalable data infrastructure using open source software for AWS consulting. Deploying high-performance data technologies in Amazon EKS for complex environments.

Posted 7/25/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and deploying Open Source Data solutions on Amazon EKS, with a strong focus on hands-on infrastructure management using tools like Terraform and Docker. Possesses advanced English communication skills and the ability to navigate complex customer environments for bespoke solution implementation.

Highest-signal resume keywords

Kubernetes/EKS ExpertiseOpen Source Data OSS DeploymentTerraform ProficiencyData Lake FamiliarityHigh-Stakes Technical Troubleshooting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Open Source Data OSSTrinoSparkPinotKubernetesAmazon EKSTerraformHelmDockerHive

Soft Skills

Advanced English CommunicationCustomer EngagementTechnical Troubleshooting

Tools & Technologies

Amazon EKSTerraformHelmDockerKarpenter

Industry Keywords

Open SourceData LakesInfrastructure as CodeCoding Best PracticesComplex Customer Environments

Tech Stack

Tools & technologies

AWSDockerKubernetesOpen SourceSparkTerraform

About the role

Key responsibilities & impact

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.
Act as a subject-matter expert in Open Source technologies, ensuring all builds are well-architected and production-ready.

Requirements

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Metal Toad Website LinkedIn All Job Openings 11 - 50 employees Founded 2003 💼 Consulting 📣 Marketing 📦 Logistics Consulting
Marketing
Logistics Metal Toad is an AWS cloud services company that empowers organizations to innovate through cloud migration, cost optimization, application modernization, and artificial intelligence. They specialize in building systems that transform data into meaningful business insights to support data-driven decision making. Metal Toad is recognized as an AWS Advanced Consulting Partner, helping clients across various industries such as media and entertainment, automotive, sports and gaming, and more. They provide services like cloud migration, generative AI, DevOps, and software as a service (SaaS), focusing on optimizing costs and enhancing operational efficiency. Metal Toad has a proven track record in architecting reliable and scalable cloud infrastructures tailored to specific business needs, ensuring faster deployments and improved system performance. Data Infrastructure Engineer 🔥 40 minutes ago 🇧🇷 Brazil – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 👷 Infrastructure Engineer AWS Docker Kubernetes Open Source Spark Terraform Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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.
Act as a subject-matter expert in Open Source technologies, ensuring all builds are well-architected and production-ready. 🎯 Requirements
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.
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