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, implement, and maintain cloud infrastructure on Azure

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models (LLMs, diffusion models) to drive core product features.

Own SOC 2 - keep Drata green and audits clean.

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

Maintain and improve the reliability, availability, and performance of our production environments.

Du entwickelst und optimierst Backend-Services in unserem Tech-Stack (TypeScript, Node.js, Nest.js, Prisma ORM, PostgreSQL, ...)

Help design and build internal AI-assisted developer tooling and engineering workflows.

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