Infrastructure Engineer at KoBold Metals

Job Description

Qualifications

A great Infrastructure Engineer candidate will have:

Expertise in at least one programming language (KoBold’s primary language is Python, but a candidate with expertise in, e.g., Go or Ruby will still be competitive)
Experience designing and deploying systems in the cloud on AWS, GCP, or Azure and defining those systems with infrastructure-as-code tools such as Terraform or CloudFormation
Experience with Kubernetes
Experience designing, deploying, and managing monitoring and alerting systems against well-defined service metrics (e.g. SLO, SLA)
Experience building systems to develop, deploy, and instrument machine learning models, particularly in Kubeflow or similar frameworks
Prior responsibility for planning and implementing information security measures
A great Infrastructure Engineer candidate will also be:

Motivated to build and maintain systems that meet challenging infrastructure requirements and to work closely with engineering colleagues on a broad set of infrastructure problems
Excited to work on a wide range of problems, and to take on a wide range of responsibilities, learning new tech tools whenever needed
Highly intellectually curious and eager to learn from technical experts who aren’t solely software engineers
Keen not just to build products, but to figure out what product to build to best achieve the business objectives of the company
Highly self-motivated and autonomous, able to effectively structure one’s own work, make realistic time estimates, and communicate well as one progresses
Focused on making decisions about risk based on practical considerations and a deep understanding of the company’s business, rather than on compliance checklists or blind adherence to a preferred set of practices
A clear technical writer, reflecting a deep understanding of what guidance users/colleagues need to effectively and efficiently use the systems you build
Careful to get the details right
It is helpful but not required to have:

Experience with geospatial databases, analyses, and/or visualizations
Expertise in designing and deploying container-based software in Kubernetes
A bachelor’s degree or equivalent experience in the physical sciences, engineering, computer science, or mathematics