The Principal Infrastructure Engineer will lead the automation for provisioning and managing the Nextdata OS in multiple clouds, shaping the future of data mesh adoption in the industry.

In Short

Lead and build automation for Nextdata OS in multiple clouds.
Shape the future of data mesh adoption.
Design and implement deployment in PaaS, SaaS, and customer cloud environments.
Write scalable and modular infrastructure-as-code.
Collaborate with customers and product teams.
Ensure code quality and manage production environments.
Experience with Kubernetes and cloud environments.
Minimize infrastructure costs for deployments.
Conduct infrastructure security audits.
Provide timely resolution to system issues.

Requirements

Bachelor's Degree in Computer Science, IT, Engineering, or related field.
10+ years of experience as an Infrastructure Engineer.
Experience with CI/CD automation for Kubernetes applications.
Experience with data and ML/analytics ecosystems on multiple clouds.
Strong experience in network architecture in cloud environments.
Proficiency in Infrastructure as Code tools like Terraform.
Familiarity with monitoring and logging tools.
Excellent problem-solving skills.
Experience with service meshes.
Familiarity with cloud security practices.

Benefits

$2000 for home workspace setup.
Premium health, vision, and dental insurance for you and your family.
Early stage equity.
Market rate salary.

Nextdata

Nextdata is a pioneering company focused on transforming data management through the principles of data mesh. Founded by Zhamak Dehghani, the creator of the Data Mesh, Nextdata is dedicated to developing its flagship product, Nextdata OS, a data-mesh-native platform that enables developers to share data responsibly via data product containers. The company aims to decentralize data ownership and enhance the experience of creating, sharing, discovering, and using data, making it more connected, faster, and fairer. By addressing the complexities of data in modern enterprises, Nextdata empowers organizations to overcome traditional centralized data challenges and fosters a culture of responsible and equitable data usage.

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