Data Infrastructure Engineer

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Metal Toad

WebsiteLinkedInAll 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.

📋 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. • Soft Skills: High comfort level engaging with complex customer environments and an aptitude for high-stakes technical troubleshooting.