Lead Cloud Platform Engineer
Tech stack:
Kubernetes (multi-tenant, production-scale environments)
Cloud platforms: AWS (primary), Azure and GCP
Infrastructure as Code: Terraform (primary)
CI/CD & GitOps: GitLab CI, ArgoCD, Helm
Observability: Grafana Cloud (LGTM stack - logs, metrics, traces)
Languages (working level): Python, Java (Spring Boot), Node.js, Go
Requirements:
Proven experience owning a platform as a product, including roadmap definition, prioritization, and deprecation decisions
Strong hands-on expertise with Kubernetes, GitOps, and IaC (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
Project description:
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.
The goal is to create an environment where "the right path is the easy path," enabling engineering teams to deliver software quickly, safely, and consistently.
This role is highly strategic and product-oriented, focused on shaping the platform vision, defining best practices, and enabling hundreds of developers (and increasingly AI agents) to deploy production-ready solutions with minimal friction.
Main responsibilities:
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