Domino builds tools which are used by 25% of the Fortune 100 to enable data science teams to experiment and collaborate on model development using software engineering best practices.
My team is responsible for developing internal APIs which manage workloads deployed on Kubernetes. These workloads may include single-user Jupyter notebooks, scheduled batch jobs, persistent R Shiny applications, ephemeral Spark clusters, or distributed HPC applications. We are looking for engineers with significant experience in some of the following areas:
* Scala or Java (existing codebase)
* Go or Rust (future microservices)
* Kubernetes and writing Operators
* Configuring and hosting distributed frameworks like Spark, Dask, MPI, etc.
Domino builds tools which are used by 25% of the Fortune 100 to enable data science teams to experiment and collaborate on model development using software engineering best practices.
My team is responsible for developing internal APIs which manage workloads deployed on Kubernetes. These workloads may include single-user Jupyter notebooks, scheduled batch jobs, persistent R Shiny applications, ephemeral Spark clusters, or distributed HPC applications. We are looking for engineers with significant experience in some of the following areas:
* Scala or Java (existing codebase)
* Go or Rust (future microservices)
* Kubernetes and writing Operators
* Configuring and hosting distributed frameworks like Spark, Dask, MPI, etc.
* Istio or other service mesh
https://boards.greenhouse.io/dominodatalab/jobs/3438271
If this looks interesting, please reach out to me at kevin [dot] flansburg [at] dominodatalab.com!