数据基础设施工程师 [人才库]
Data Infrastructure Engineer [Talents Bench]
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,
查看英文原文
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.
Originally posted on Himalayas