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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in deploying and managing Kubernetes clusters, including lifecycle management, storage solutions, and CI/CD pipeline development. Proficient in scripting and automation, with a strong focus on operational readiness and disaster recovery.
Highest-signal resume keywords
Kubernetes Cluster ManagementHelm Chart AuthoringAWS Production ExperienceGitHub Actions Pipeline DesignScripting in Bash and Python
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesHelmAWS EC2AWS EBSPostgreSQLTerraformGitHub ActionsBash ScriptingPythonGo
Soft Skills
Clear CommunicationCollaboration Across Time Zones
Tools & Technologies
PrometheusGrafanaOpenTelemetryCert-managerK0rdentArgo CDFlux
Industry Keywords
DevOpsSite Reliability EngineeringPlatform EngineeringDisaster RecoveryOperational Readiness
Tech Stack
Tools & technologiesAWSEC2FluxGrafanaKubernetesNode.jsPostgresPrometheusPythonTerraformGo
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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