Lead Cloud Platform Engineer

On behalf of a leading international manufacturer of premium kitchen and household appliances, the company is building an AI-ready internal platform designed to streamline and standardize software delivery across the organization.

• Proven experience owning a platform as a product, including roadmap definition, prioritization, and deprecation decisions
• Strong hands-on expertise with Kubernetes, GitOps, and Infrastructure as Code (Terraform preferred)
• Experience designing and operating multi-tenant Kubernetes platforms at organizational scale
• Deep understanding of cloud infrastructure, primarily AWS, with exposure to Azure and/or GCP
• Practical experience with SLO/SLI design, error budgets, and reliability engineering practices
• Strong experience building reusable platform patterns replacing bespoke engineering solutions
• Knowledge of platform security: identity & access management, isolation, policy/admission controls
• Experience working with managed services and defining SLAs / vendor accountability
• Ability to drive adoption of platform solutions through influence, not authority
• Strong stakeholder management and communication skills (including executive-level)
• Fluent English (spoken and written)

Nice to have:

• Experience with AI-assisted SDLC and agent-based developer workflows
• Background in platform engineering for large-scale enterprise environments
• Exposure to multiple programming languages and ability to debug production systems
• Experience defining machine-readable system models (service catalogs, ownership structures)
• Familiarity with progressive delivery, feature flags, and safe rollout practices
• Experienced in using AI tools in day-to-day workflow

• Design and own end-to-end platform “golden paths” from repository to production runtime
• Drive the transition from infrastructure provisioning to intent-driven platform automation
• Collaborate with Security, QA, Architecture, and Operations teams to define scalable guardrails and standards
• Define and maintain a machine-readable system model (services, components, APIs, ownership)
• Improve developer experience through platform adoption metrics and continuous optimization
• Reduce operational risk via SLO-driven delivery, safe deployments, and clear system boundaries
• Act as a technical leader and trusted advisor for platform-related initiatives
• Influence platform direction, strategy, and roadmap across engineering and leadership stakeholders