Summary
Delphina is seeking an experienced Data Infrastructure Engineer as a founding team member. The role involves partnering with the early team on product direction, driving critical technical decisions, and having broad impact over technology, product, and company culture. Responsibilities include developing solutions for massive data orchestration, creating platforms for easy and quick ML job scaling, defining a continuous integration/deployment model, and influencing cross-functional initiatives. Required skills include hands-on experience in building distributed systems, proficiency in multiple programming languages, knowledge about deploying and operating high availability production systems, and energy to build a surprising product. Nice-to-haves include experience with machine learning and leading cross-functional teams through ambiguous problems. Benefits include equity, medical, dental, and vision insurance, 401k, unlimited PTO, top-of-the-line Apple equipment, and free lunch in the office twice a week.
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
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
Benefits
- Equity in the company
- Medical, dental, and vision insurance
- 401k
- Unlimited PTO
- Top of the line Apple equipment
- Free lunch in the office twice a week
