The ideal candidate for this role is NOT someone that can build a great model, rather they are good at building and maintaining a complex piece of infrastructure on Kubernetes and understand its common pitfalls. You should be strong at Python and SQL, a good communicator, and should be extremely reliable, able to own deliverables without dropping the ball. You must have 6+ years of experience as an engineer with 3+ years of production-level experience working with Kubernetes.
Our team is based in the San Francisco Bay Area, and we have a diverse, distributed workforce in five countries across the Americas. We don’t believe that people need to sacrifice being close to their families and where they’d prefer to live in order to do their best work.
We’re now looking for a Data Engineer or Senior Backend Software Engineer who can lead the charge in developing and maintaining the platform that will support large-scale ML deployments. This project you are joining is fast-paced and for a large bank, so you must be experienced—you will not have time to simultaneously onboard, gather business context, and deliver on the tight timeline. To give you a sense for the project, imagine that you have cutting-edge machine learning models, but you now have to deploy them behind a bank’s four walls on a system that could be used by over 30,000 companies simultaneously in a database with billions of records.
The ideal candidate for this role is NOT someone that can build a great model, rather you are good at building and maintaining a complex piece of infrastructure on Kubernetes and understand its common pitfalls. You should be strong at Python and SQL, a good communicator, and should be extremely reliable, able to own deliverables without dropping the ball. You must have 6+ years of experience as an engineer with 3+ years of production-level experience working with Kubernetes.
Our team is based in the San Francisco Bay Area, and we have a diverse, distributed workforce in five countries across the Americas. We don’t believe that people need to sacrifice being close to their families and where they’d prefer to live in order to do their best work.
https://jobs.lever.co/tesorio/f77eaea4-4ff6-4718-b125-723513...
The ideal candidate for this role is NOT someone that can build a great model, rather they are good at building and maintaining a complex piece of infrastructure on Kubernetes and understand its common pitfalls. You should be strong at Python and SQL, a good communicator, and should be extremely reliable, able to own deliverables without dropping the ball. You must have 6+ years of experience as an engineer with 3+ years of production-level experience working with Kubernetes.
Our team is based in the San Francisco Bay Area, and we have a diverse, distributed workforce in five countries across the Americas. We don’t believe that people need to sacrifice being close to their families and where they’d prefer to live in order to do their best work.