This job is no longer available
This job expired on 10/09/2026. It no longer accepts applications.
Staff/Lead Platform/DevOps Engineer
Jobgether
Job description
About the role
Join a high‑impact engineering team that builds and evolves the platform powering modern AI‑driven enterprise solutions. Based in Ireland and operating in a remote‑first environment, you will design scalable cloud infrastructure, improve platform reliability, and enable engineering teams to deliver products faster.
Key responsibilities
- Maintain resilient Kubernetes environments (GKE preferred, EKS or other managed services acceptable) and guide teams on platform best practices.
- Design, develop, and maintain Infrastructure as Code using Terraform and contribute to migration toward Crossplane.
- Build and enhance internal platform services and automation tools, including Python‑based solutions.
- Manage multi‑region cloud infrastructure, covering Kubernetes clusters, IAM, networking, and identity management.
- Troubleshoot production incidents, conduct root‑cause analysis, and drive reliability improvements.
- Lead initiatives for multi‑region deployments, single‑tenant environments, and BYOC architectures.
- Implement observability solutions: dashboards, monitoring, logging, tracing, and alerting.
- Support FinOps efforts by optimizing cloud resource usage and improving cost visibility.
Required profile
- Proven experience managing Kubernetes clusters at scale.
- Strong expertise with Terraform and familiarity with GitOps tools such as ArgoCD.
- Hands‑on experience with IAM and cloud infrastructure on GCP or AWS.
- Deep understanding of cloud‑native architecture, container orchestration, networking, and production‑grade infrastructure.
- Ability to collaborate closely with software engineers to streamline development workflows.
Required skills
- Kubernetes
- GKE
- EKS
- Terraform
- Crossplane
- Python
- ArgoCD
- GCP
- AWS
- IAM
- Cloud networking
- Observability (monitoring, logging, tracing)
- FinOps
What we offer
- Remote‑first work environment with flexible hours.
- Opportunity to shape multi‑region cloud architecture for AI‑driven solutions.
- Collaborative team culture focused on innovation and continuous improvement.
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