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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing observability stacks across Kubernetes clusters, including metrics, logs, and alerting. Proficient in designing and implementing monitoring solutions for both cloud and on-premises environments, with a strong focus on incident response and operational excellence.
Highest-signal resume keywords
Kubernetes ManagementPrometheus-Compatible Monitoring StackInfrastructure As CodeStrong Networking FundamentalsLinux Performance and Security Hardening
ATS Keywords
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Hard Skills
KubernetesPrometheusGrafanaAnsibleOpenTofuHelmTCP/IPVLANsGitOpsMonitoring Design
Soft Skills
Independent Problem SolvingClear Communication
Tools & Technologies
Argo CDVictoriaMetricsAlertmanagerLokiDCGM ExporterCephZFSNFSVPNsTraefik
Industry Keywords
DevOpsSREInfrastructure EngineeringAir-Gapped EnvironmentsPrivate RegistriesHigh-Throughput NetworkingSecurity TechPublic SafetyRegulated EnvironmentsMulti-Tenancy
Tech Stack
Tools & technologiesAnsibleCloudDNSFirewallsFluxGrafanaKubernetesLinuxNFSPrometheusTCP/IPTerraform
About the role
Key responsibilities & impact- Own the observability stack—metrics, logs, dashboards and alerting—across Kubernetes clusters in cloud, on-premises and air-gapped environments
- Design meaningful alerts and routing based on SLOs, severities and on-call practices
- Monitor Kubernetes, physical hosts, NVIDIA GPUs, storage, networks, video workloads and AI workloads
- Build monitoring for disconnected environments, including offline install kits, local alerting and signal retrieval
- Deploy and operate k3s clusters on bare metal and in physical datacenters, as well as managed cloud clusters
- Design and troubleshoot on-premises networks, including VLANs, routing, firewalls, DNS, load balancing and high-throughput video links
- Run GitOps delivery with Argo CD across a hub-and-spoke cluster fleet
- Automate provisioning and configuration with Ansible, OpenTofu and Helm
- Collaborate with Software, AI and Deployment engineers to make services observable from day one
- Lead incident response and post-mortems and write operational runbooks
Requirements
What you’ll need- 5+ years of experience in DevOps, SRE or infrastructure engineering, with at least 3+ years running Kubernetes in production
- Deep hands-on experience with a Prometheus-compatible monitoring stack (Prometheus or VictoriaMetrics, Alertmanager, Grafana) and log aggregation (Loki, VictoriaLogs or similar)
- Track record of designing alerting with clear thresholds, SLOs, routing and on-call practices
- Experience with on-prem infrastructure, bare-metal servers, physical data centers and hardware failures
- Strong networking fundamentals: TCP/IP, VLANs, routing, firewalls, DNS, VPNs and troubleshooting across network boundaries
- Experience with air-gapped or restricted environments, private registries, mirrored artifacts, offline installs and upgrades
- Infrastructure as code and GitOps using Helm, Ansible, Terraform/OpenTofu and Argo CD or Flux
- Strong Linux skills, including performance, reliability and security hardening
- Ability to work independently on complex, multi-site issues and explain them clearly to the team
- Nice-to-have experience with VictoriaMetrics ecosystem and Grafana Alloy
- Nice-to-have GPU monitoring and operations experience with NVIDIA drivers, GPU Operator and DCGM exporter
- Nice-to-have ML lifecycle and model delivery experience
- Nice-to-have distributed and local storage experience with Ceph, ZFS, NFS and CSI drivers
- Nice-to-have edge and embedded Linux fleet experience, including LUKS, TPM and device hardening
- Nice-to-have Kubernetes multi-tenancy, cert-manager, Traefik or Gateway API
- Nice-to-have high-throughput networking experience including 10GbE, jumbo frames, NIC tuning and multicast
- Nice-to-have experience with sovereign cloud providers and hub-and-spoke network designs
- Nice-to-have prior experience in security tech, defense, public safety or regulated environments
Benefits
Comp & perks- Stock options to share in the long-term success of the company
- Flexible hybrid remote/in-office work model
- Collaborative environment with experienced engineers in software, ML, MLOps, DevOps, and Platform development
- Opportunity to work on state-of-the-art AI solutions with real-world applications in defense and public security
- Clear and ambitious mission grounded in technical excellence and respect for data privacy laws