Infrastructure and Security Engineering Manager

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KoBold Metals

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔬 Science

⚡ Energy

Description

• The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. • KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. • In this role, you will be responsible for not only building and maintaining systems that enable KoBold to be a successful global exploration company - including underlying AWS infrastructure, IT and commercial software packages, and cybersecurity. • You will ensure that our computation operates securely, efficiently, and reliably and empower collaboration between geologists, data scientists, and engineers around the planet. • One of KoBold’s core beliefs is that discovering the metals —such as lithium, copper, nickel, and cobalt– critical to enabling the energy transition will require deep collaboration between humans (geologists and data scientists) and machines (software, algorithms, and machine learning pipelines). • Reporting to the VP of Technology, the responsibilities of this position include overseeing the IT team, including hardware, network configuration, and commercial software licenses. • Manage a team of 5–10 engineers of varying seniority, fostering a culture of collaboration, inclusion, and accountability.

Requirements

• 5+ years of experience in software engineering, with hands-on cloud infrastructure management and cybersecurity focus. • 2+ years of leadership experience, managing technical teams in a multidisciplinary environment. • Expertise in Python and 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. • Proven ability to implement secure, scalable systems for data management, access, and compute. • Experience with Kubernetes and GitOps-style deployments via ArgoCD or similar • Experience designing, deploying, and managing monitoring and alerting systems against well-defined service metrics (e.g. SLO, SLA), especially via Datadog or similar • 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 • Strong track record of working effectively with diverse stakeholders: multidisciplinary environment, diverse personalities and backgrounds  • Deeply understand the uses of KoBold’s cloud technology to enable sound decision-making about infrastructure • Build highly effective interdisciplinary relationships with scientists and engineers across the KoBold organization so that infrastructure engineering is well integrated and effectively tailored to the computational needs of the business • Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. • Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies.