Staff Engineer, EU Infrastructure

Requirements

  • Deep experience building and operating Kubernetes and AWS infrastructure in production.
  • Strong software engineering skills using Go, Python, or similar languages to build maintainable tools and automation.
  • Experience with infrastructure as code, specifically Terraform, and designing systems for use by other engineering teams.
  • Proven track record of leading complex technical projects across teams, including architecture, delivery, and operations.
  • Strong judgment on trade-offs involving distributed systems, networking, security, reliability, and cloud cost.
  • Clear communication skills and ability to align teams around practical technical directions.

Nice to Haves

  • Familiarity with GPU workloads and orchestration.

What you'll be doing

  • Set technical direction for shared AWS and Kubernetes infrastructure balancing reliability, security, developer experience, and cost.
  • Lead initiatives from design through rollout and operation, coordinating across Wolt, Deliveroo, and DoorDash, focusing on GPU workloads.
  • Evolve Kubernetes clusters, cloud networking, identity systems, and infrastructure provisioning for growing workloads.
  • Build reusable Terraform patterns and self-service tooling for safe and consistent infrastructure provisioning.
  • Improve deployment and operational practices including GitOps, observability, capacity planning, incident response, and recovery.
  • Use production signals and developer feedback to identify platform friction and prioritize improvements.
  • Support platform operations, with a deep focus on GPU infrastructure and broader compute infrastructure.
  • Sunset legacy infrastructure and tooling gracefully, reducing operational toil.
  • Mentor engineers through design reviews, implementations, and incident responses to improve infrastructure quality.

Perks and Benefits

  • Shape infrastructure used globally while staying close to engineering teams, enabling easier service shipping.
  • Work on real problems at global scale including multi-cluster Kubernetes, AI/ML workloads, cloud networking, and GitOps.
  • Autonomy and ownership to set and execute direction with support from a global engineering organization.
  • Opportunities for growth in technical leadership or cross-domain influence.
  • Collaborate with talented engineers and leaders in a diverse, international environment with mentoring and learning opportunities.
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