DevOps Engineer, Kafka, PostgreSQL

• Deploy, upgrade, and operate k0s/k0rdent-managed Kubernetes clusters on AWS and bare-metal hardware across a global control plane and multiple regions
• Manage cluster lifecycle, node maintenance, capacity planning, and version upgrades
• Author and maintain Helm charts and k0rdent ServiceTemplates and MultiClusterServices for Keycloak, Kong, Temporal, CloudNativePG, and in-house Go APIs
• Implement dependency ordering, health gating, versioning, and zero-downtime upgrade paths
• Design and operate Kubernetes storage using AWS EBS CSI, OpenEBS LocalPV, Longhorn, or Ceph
• Manage StorageClasses, reclaim policies, CSI snapshot controllers, and VolumeSnapshotClasses
• Operate CloudNativePG backup and recovery, including scheduled volume snapshots, WAL archiving, point-in-time recovery, and replica clusters
• Define RPO/RTO targets and conduct regular restore drills
• Build and maintain GitHub Actions pipelines for linting, chart unit tests, artifact packaging, OCI publishing, and bare-metal end-to-end environments
• Maintain declarative infrastructure as code using Terraform and Argo CD or Flux
• Keep environments reproducible and reviewable through code
• Build monitoring and alerting with Prometheus, Grafana, and OpenTelemetry
• Monitor service health, database replication, backup status, and capacity
• Participate in the on-call rotation, lead troubleshooting, and drive post-incident improvements
• Manage TLS and certificate lifecycle with cert-manager, secrets, network policies, and least-privilege RBAC
• Support private-registry and air-gapped installations for sovereign customers
• Own operational readiness through runbooks, restore drills, and upgrade and rollback paths

• 8+ years in DevOps, SRE, or platform engineering
• 3+ years operating production Kubernetes for business-critical services
• Strong grasp of Kubernetes primitives, including workloads, StatefulSets, operators, CRDs, persistent volumes, CSI storage, RBAC, and network policies
• Hands-on experience upgrading and troubleshooting production Kubernetes clusters
• Hands-on authoring of non-trivial Helm charts, including templating, values design, chart dependencies, and testing with helm-unittest or chart-testing
• Practical experience with CSI drivers, StorageClasses, and volume snapshots
• Hands-on experience running PostgreSQL through a Kubernetes operator, including backups, restores, and point-in-time recovery
• Production experience in AWS, including EC2, EBS, VPC, IAM, and S3; EKS is a plus
• Experience designing and maintaining GitHub Actions or GitLab CI pipelines
• Solid scripting in Bash plus Python or Go (Golang)
• Clear written and spoken English
• Comfort working across time zones, with regular overlap with US and European teams
• Bachelor's degree in Computer Science & Engineering or a related field, or 8+ years of equivalent related experience
• Experience with k0rdent, Cluster API, or multi-cluster delivery tools is preferred
• Nice-to-have experience with bare-metal provisioning, GPU or AI infrastructure, Kong Gateway, Kubernetes Gateway API, Keycloak, OIDC, Temporal, air-gapped or sovereign environments, cross-region disaster recovery, and relevant certifications

• Operate some of the most advanced AI infrastructure environments in production today
• Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments
• Help define operational standards and reliability practices for next-generation AI infrastructure services
• Influence the adoption of AI-powered operational capabilities through k0rdent AI
• Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale
• Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation