Software Engineer, Data Systems for Mineral Exploration

KoBold Metals; United States; Remote; USD 150,000 - 240,000; Full time

Job summary

KoBold Metals is hiring Software Engineers to accelerate its mineral exploration mission. Engineers embed with users, own data pipelines, and deliver state-of-the-art tech for exploration teams in a highly ambiguous space.

The role focuses on making exploration data broadly accessible to humans and machines using Python, Django, React, AWS, and related tools. Roles involve end-to-end project ownership, collaboration with data scientists and geologists, and occasional field exposure to understand

Qualifications

• 4+ years of software engineering experience, ideally building production cloud data systems.
• Proficiency with Python.
• Ability to write production-quality code that is correct, readable, well-tested, scalable and extensible.
• Skilled in large-scale system design.
• A track record of taking ownership from problem definition to delivery.
• Intellectual curiosity and eagerness to learn about mineral exploration, especially geology, and to work with domain experts.

Responsibilities

• Deep engagement with exploration geologists and data scientists, tailoring technology to project needs.
• Build data pipelines and tooling for deriving insights from exploration data, often leading a small group of engineers.
• Develop expertise in KoBold’s Data Systems and understand their impact on exploration.
• Own projects end-to-end from design to implementation and testing, with ongoing engagement with exploration teams.
• Respond to design and code feedback and provide feedback to teammates.
• Operationally manage the team’s services and assist scientists with tooling.

Skills

Python

Production-grade code

Large-scale system design

Ownership of projects

Effective communication

Tools

React

Docker

AWS ECS

Kubernetes

Job description

KoBold Metals is hiring Software Engineers to accelerate its mineral exploration mission. Engineers embed with users, own data pipelines, and deliver state-of-the-art tech for exploration teams in a highly ambiguous space.

The role focuses on making exploration data broadly accessible to humans and machines using Python, Django, React, AWS, and related tools. Roles involve end-to-end project ownership, collaboration with data scientists and geologists, and occasional field exposure to understand