Responsibilities

We are a small flat team sitting at the cross-section of research, implementation, and platform infrastructure. Our team responsibilities span many areas. Including:
Design and implementation of cloud-based HPC systems. Our projects involve equal parts engineering and operations for success in our fast-moving environment. You will be expected to conceive and implement projects small and large in the intersection of HPC scheduling, metrics, containerization, software distribution, accelerated compute performance/efficiency, cloud architecture.
Running our HPC plant day-to-day. Our research environment is up 24/7, and we want to keep it that way. Everybody on the team contributes to the support of our platform, which thankfully is light because of our automation and quality work.
Implementing automation. We will always choose to work smart over working hard. You will be responsible for conception and implementation of automation from CI/CD pipelines to production metrics and monitoring of our cloud HPC platform.
Obsessive User Focus. All members of the team are expected to partner with researchers and engineers to deliver high-quality cloud HPC systems that are efficient and reliable. This includes leading projects to evolve it as our needs change.
Capacity management and benchmark optimization. Our demand for scale and performance is constant and involves challenging optimization problems for workloads critical to research and trading
Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.
Bachelors or Masters degree in an Engineering or Applied Sciences field from a rigorous academic program or equivalent professional experience.
5+ years of experience building and shipping software systems
2+ years running production compute platforms and scheduling systems.
Mastery of core software engineering concepts such as system design, testing, debugging, building reliable production systems with fluency in a language such as Python, Go, Rust etc.
Experience with a cloud-based infrastructure-as-code tool such as Terraform

Cloud Computing Engineer at Pdt Partners · LumiJobs

Cloud Computing Engineer

Responsibilities

Qualification

Required

Company

Pdt Partners

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