Data Engineer

at  Cloudsmith

Are you ready to play a central role in the design and implementation of a best-in-class data platform on AWS? Do you have a good understanding of data engineering principles and a passion for creating scalable, efficient, and secure data solutions? If you’re seeking a challenging and rewarding role, join Cloudsmith as a Data Engineer!

ABOUT US

Cloudsmith is the world’s most powerful artifact management platform. Software organizations of all sizes use Cloudsmith to protect and manage their software supply chain. Running at cloud scale in a multi-tenant software-as-a-service (SaaS) model, Cloudsmith hosts repositories that proxy and cache public open-source software (OSS) indexes, providing a platform that organizations can use to scan artifacts for security vulnerabilities, licensing issues, and malware, as well as implement policies that govern the use of artifacts and act as a dependency firewall. We support over 30 formats, with broad support for languages, containers, and operating system libraries. Cloudsmith is built for the enterprise, supporting modern security protocols and providing advanced features for observability, integration, and orchestration. Customers use Cloudsmith as part of their CI/CD build chain, as well as for developer-native distribution of their own artifacts and binaries to end-customers.
We help our customers manage and secure their software supply chain, and improve their developer experience. We are by developers, for developers. Our culture operates with openness and transparency, driven by our ambition to build a great company. We enjoy working with great people and customers. We learn, support one another, and we’re growing. Now is a great time to join us.

• Design and Development: Participate in the design and development of our data platform. You will work with other talented data engineers to build scalable, maintainable and efficient data pipelines.
• Collaborate with Cross-Functional Teams: Work closely with data engineers, software engineers, and business stakeholders to ensure the platform meets business needs and integrates seamlessly with other systems.
• Innovation and Continuous Improvement: Stay abreast of the latest developments in data engineering and AWS technologies. Drive innovation and continuous improvement in our data practices.