The MinIO team is looking for an experienced Data Engineer with at least five years of designing, deploying and supporting high-performance, large-scale processing systems and data pipelines using GPU processors. The candidate must be well rounded, with experience with modern workloads such as AI/ML platforms, data lakehouses, modern database technologies (MongoDB, Snowflake, Vector), open table formats (Iceberg, Deltalake, Hudi).
You will work closely with the MinIO Engineering team to understand how to optimize MinIO object storage for these workloads. This research will lead to the development of training content, including hands-on labs and course materials. You will be recording videos that will be published on YouTube and the future MinIO learning portal.
You will be part of a team of technologists, video editors, and motion graphic designers building a world-class training portfolio for MinIO. This role works hand in hand with MinIO engineering, support, and technical marketing to tell the Kubernetes-native, multi-cloud story that is MinIO object storage as it relates to the data store.
Previous curriculum development and/or training delivery is helpful but not required. You will need strong oral and written communication skills and a willingness to become a good video presenter to make our training relevant and easy to consume.
What you will do:
- Build real-world, use case-driven labs that establish best practices for using MinIO
- Support the labs with clear, concise training content and develop real-world and use case-based examples, guided exercises, and practical lab materials.
- Package the labs and content into short, outcome oriented training modules
- Record training videos
- Learn new platforms and technologies quickly to become a subject matter expert
- 5+ years as an enterprise data engineer
- 5+ years of experience with software-defined storage
- 3+ years using Amazon AWS, including an understanding of S3 and the S3 API
- Solid foundation of Linux skills
- 3+ years deploying and supporting applications on GPU systems
- 3+ years building and maintaining workflows in git
- Strong oral and written communication skills
- Previous experience delivering webinars and/or recorded technical content is a plus
- Medical insurance
- Vision insurance
- Dental insurance
- 401(k)
- Paid maternity leave
- Paid paternity leave
Top Skills
What We Do
MinIO has pioneered the creation of high-performance, kubernetes-native object storage. Their open source, software-defined, Amazon S3 compatible object storage system is optimized for the private cloud. It is the world's fastest growing object storage company, with more than 415M Docker pulls and more than 24K GitHub Stars.
Enterprises use MinIO to deliver against ML/AI, analytics, application, backup and archival workloads - all from a single platform.
The world's fastest object storage server, MinIO offers READ/WRITE speeds of 183 GB/s and 171 GB/s on standard hardware. In addition, MinIO was built from scratch in the last four years and is native to the technologies and architectures that define the cloud. These include containerization, orchestration with Kubernetes, microservices and multi-tenancy.
MinIO offers a host of enterprise features including inline erasure coding, bit-rot detection, state-of-the-art encryption, active-active replication, object locking, lifecycle management and identity + access management.
Commercial licenses and support are available through the MinIO Subscription Network. The Subscription Network is designed to optimize deployments of MinIO and reduce the risk associated with data loss and data breach while providing 24/7/365 direct-to-engineering support.
.png)
.jpeg)
.png)
