Roles remotos de Kubernetes para candidatos en Reino Unido.

Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.

Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.

Collecting and synthesizing user data: Developing user insights in diverse formats, scientifically analyzing data from A/B tests, usability studies, and other methodologies to create compelling findings.

Design and manage scalable, secure, and highly available cloud infrastructure.

Build intuitive and elegant user experiences to empower fellow KoBolders with backgrounds in geology, geophysics, geochemistry, and data science.

Competitive, equitable salary

Deep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists

Collaborate with Account Executives to understand customer requirements and develop customized technical solutions

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Write high-quality code to create new features

Work closely with other leads, assuming joint responsibility for outcomes at the team, department, and company level.

Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.

Lead Reliability Engineering for User Experience

Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.