Director of Platform Engineering + Kubernetes

MetLife Poland is part of MetLife's Technology organization supporting regional application and infrastructure teams across EMEA. The team ensures core platform services are robust, scalable, and aligned with regional and global standards, driving digital transformation and delivering reliable, secure platforms for MetLife's business.

• Advanced degree (e.g., Master’s in Computer Science/Engineering) and/or professional certifications such as CKA/CKAD, AWS/Azure/GCP Architect, ITIL, PMP.
• Expertise with Kubernetes-based platforms (OpenShift, AKS, EKS, GKE) including orchestration, service mesh, CI/CD integration, and cluster operations.
• Experience with public cloud platforms (AWS, Azure, GCP) and Infrastructure-as-Code tools (Terraform, Ansible, Helm, CloudFormation).
• Strong knowledge of security, networking, and observability in cloud environments.
• Proven ability to manage enterprise-scale distributed systems with a DevOps and automation mindset.
• Excellent communication and stakeholder management skills in a matrixed global organization.

Leadership and Strategy:

• Lead regional teams managing container platforms (on-prem and cloud), enterprise databases, middleware, and cloud platform engineering.
• Set direction aligned with global architecture and platform standards.
• Create the EMEA platform roadmap, standards, and automation/observability patterns.

Platform Operations:

• Oversee design, deployment, and lifecycle of on-prem Kubernetes/OpenShift and cloud container platforms (AKS/EKS/GKE).
• Manage enterprise database services (SQL/NoSQL, distributed data), middleware technologies, and SRE practices.
• Develop operational KPIs and enforce SLAs.

Collaboration and Governance:

• Coordinate with application teams, enterprise architects, security, and cloud governance.
• Support migrations, technology rollouts, vulnerability management, patching, and disaster recovery planning.

Optimization:

• Drive standardization, automation (IaC), observability, and FinOps to optimize cost, performance, and resource utilization.