Data Infrastructure Engineer

• Architect and deploy Open Source Data OSS, including Trino, Spark, Pinot, and Druid, on Amazon EKS
• Maintain a 100% hands-on approach using 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 not previously established
• Act as a subject-matter expert in Open Source technologies
• Ensure builds are well-architected and production-ready

• 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
• Deep expertise in Kubernetes and Amazon EKS
• Proficiency in Terraform, Helm, Docker, and Karpenter
• Minimum rating of 3 (on a 5-point scale) in deploying and managing Data OSS software, including Trino, Spark, or Pinot
• Strong familiarity with Data Lakes, Spark, and Hive architectures
• Demonstrated willingness to work with non-AWS and broad Open Source ecosystems
• High comfort level engaging with complex customer environments and an aptitude for high-stakes technical troubleshooting
• Prior hands-on experience working with Fruitstand is nice to have
• Demonstrated history of contributing to or managing complex open-source projects in production environments is nice to have