Data Infrastructure Engineer [Talents Bench]
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 28d ago
The date the source published, not the day we noticed it (2026-09-14). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $80k–141k/yr
Middle 50% of 35 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
BambooHR employer's own board first seen 2h ago · last seen 2h ago
The listing
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.