Senior Infrastructure Engineer

Remote

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Mining, Biotechnology, Artificial IntelligenceIndustries

Requirements

Candidates should have 5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer, or in a similar role. Strong scripting and programming skills in Python, Go, Java, or JavaScript/Node.js are required, along with experience in Infrastructure as Code (IaC) tools like Terraform, container orchestration tools like Kubernetes and Docker, and cloud platforms such as AWS. Experience operating or administering JupyterHub in a multi-user environment and an understanding of MLOps workflows are also necessary qualifications.

Responsibilities

The Senior Infrastructure Engineer will design, build, and operate scalable and reliable compute infrastructure, embedding observability, reliability, and security into the software development process. Responsibilities include creating and maintaining automation for monitoring, deployments, and incident response, leading capacity planning and performance reviews, and participating in an on-call rotation for incident response. The role also involves developing and refining monitoring and alerting systems, establishing disaster recovery and business continuity practices, improving tools and processes for system visibility, investigating system fragility, and learning about mineral exploration through reading, discussions, and field time.

Skills

Infrastructure

Scalability

Observability

ML pipelines

Data pipelines

Cloud infrastructure

Kubernetes

Terraform

Python

KoBold Metals

AI-driven mineral exploration for clean energy

About KoBold Metals

KoBold Metals focuses on discovering new deposits of essential minerals like lithium, cobalt, copper, and nickel, which are crucial for clean energy technologies. The company employs artificial intelligence to enhance the mineral exploration process, making it more efficient and predictable. Their proprietary AI tool utilizes a concept known as Efficacy of Information (EOI) to guide data collection during exploration, helping to reduce uncertainty. KoBold invests over $60 million annually in more than 60 projects across three continents, leading extensive research and development efforts in the field. Unlike traditional exploration methods, KoBold aggregates comprehensive data about the Earth's crust's physics and chemistry, allowing for a more scientific approach to mineral discovery. The company's goal is to locate and sell mineral deposits to clean energy companies, providing them with the necessary resources while maintaining a competitive advantage in the market.

Berkeley, CaliforniaHeadquarters

2018Year Founded

$909MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Energy, AI & Machine LearningIndustries

201-500Employees