Data Infrastructure Engineer
6 days ago
Delphina is a revolutionary company that aims to change the way data scientists work. We are looking for an experienced Data Infrastructure Engineer to join our founding team and drive critical technical decisions.
As a key early hire, you will partner closely with our team to define the direction of our product and develop solutions that orchestrate and support massive quantities of data. Your responsibilities will include developing platforms that enable scientists, researchers, and developers to run ML jobs easily and quickly at scale using the latest technologies.
To be successful in this role, you will need hands-on experience in building distributed systems, including real-time streaming and batch data processing. Proficiency in multiple programming languages relevant for such systems, such as Python, Rust, C++, Go, and Java, is also required. Additionally, you will need knowledge about what it takes to deploy and operate high-availability production systems in the cloud.
We offer a competitive benefits package, including equity in the company, medical, dental, and vision insurance, 401k, unlimited PTO, and top-of-the-line Apple equipment. If you are passionate about building a product that is surprisingly good in surprising ways, we encourage you to apply.
- Develop solutions that will orchestrate and support massive quantities of data through stages like ingestion, indexing/mining, transformation, machine learning, and online deployment.
- Develop platforms that enable scientists, researchers, and developers to run ML jobs easily and quickly at scale using the latest technologies.
- Define a consistent continuous integration/deployment model that will encourage cross-functional development teams to self-service application unit testing, deployment, and operations.
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