Mts – Data Infrastructure Engineer
| Company | Delphina |
|---|---|
| Location | San Mateo, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Junior, Mid Level |
Requirements
- Hands on experience in building distributed systems, including real-time streaming and batch data processing
- Proficiency in multiple programming languages relevant for such systems (e.g. Python, Rust, C++, Go, Java)
- Knowledge about what it takes to deploy and operate high availability production systems in the cloud
- Experience designing service-oriented architectures and leveraging various data store technologies
- Energy and ambition to build a product that is surprisingly good in surprising ways
- Intrinsic desire to always be improving our product and yourself. Growth mindset to both stay ahead of the curve and pick up whatever knowledge you’re missing to get the job done
Responsibilities
- Developing solutions that will orchestrate and support massive quantities of data through stages like ingestion, indexing/mining, transformation, machine learning, online deployment
- Developing platforms that enable scientists, researchers, developers to run ML jobs easily and quickly at scale using the latest technologies
- Defining a consistent continuous integration/deployment model that will encourage cross-functional development teams to self-service application unit testing, deployment and operations
- Influencing and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies
Preferred Qualifications
- Experience working directly on machine learning – either by partnering with scientists and engineers who are building models or by building models yourself
- Experience leading cross-functional teams through ambiguous problems