# career.pipelineTrunk-based. Single artifact. Promoted through every stage.
One engineer, promoted stage to stage since 2015 — the same way I ship software. Select a stage to inspect it, or hit Promote to walk the pipeline.
- Fleet Managed Windows, macOS, and Linux fleets company-wide
- Automation Automated provisioning and inventory with Bash, Python, and PowerShell
- Identity Administered identity and access through Okta
- Delivery Killed a multi-day monthly patching cycle with immutable infrastructure — Packer, Terraform, Ansible, Docker, GitHub Actions on RHEL/CentOS
- Migration Cut infrastructure costs $100K migrating VMs to Kubernetes: multistage builds, Helm charts, right-sized autoscaling with HPA/VPA and spot node pools
- Logging Deployed an HA Fluentd / Fluent Bit stack — DaemonSets, sidecars, tuned buffers, per-team quotas saving $1K/month
- Ops Ran 24/7 on-call, OpsGenie alerting and auto-remediation, PCI compliance, critical-outage response and postmortems
Runs the company-wide Kubernetes platform every product team deploys on — ~30 engineers building KanpAI, Panasonic's enterprise agentic-AI platform: 20+ production agents across 10+ business units in the US and Japan. Leads the 4-person platform team: roadmap, priorities, mentoring, and the platform's voice to engineering leadership.
- Delivery Replaced Spinnaker with a self-service GitOps platform on ArgoCD + Argo Workflows/Events — pipelines from one command, setup 6 hrs → 10 min, lead time 1 hr → 15 min, scaled 15 → 228 microservices
- Promotion Drove trunk-based single-artifact promotion with Kargo across 5 teams / 16 services — weekly deploys became 15 a day, one click dev-to-prod
- Charts Built helm-generic-app: schema-validated, secure-by-default, CI-tested — new-service packaging 3 hrs → 5 min across 16 microservices
- Tenancy Cut tenant onboarding from 7 days of manual Vault + Terraform to minutes with a git push — bootstrap chart, External Secrets, ACK controllers
- Reliability Zero customer-impacting incidents in GAAI's first 10 months — PodDisruptionBudgets, graceful drain, Karpenter-rolled EKS upgrades from a single Terraform PR
- Security Multi-tenant isolation with Kyverno policy-as-code, default-deny NetworkPolicies, per-tenant gateways — then built a production-identical red-team environment in 3 hrs and fixed what it found
- Recovery Verified end-to-end restore drills with Velero + CSI snapshots and cross-region failover; moved 30 Datadog monitors into GitOps
- Migration Drove the platform's carve-out onto its own AWS foundation — a dozen-plus microservices moved ahead of the corporate deadline, zero data loss
- AI tooling Shipped claude-projects: Claude Code subagents with guardrail hooks running 2–3 parallel epics — release automation, Renovate, ECR publish, a change-tracking dashboard
- Teaching Led a 3-week on-site SRE workshop in Japan — 20 engineers from 12 Panasonic subsidiaries: SLOs, error budgets, incident response, CI/CD
# platform.metricsNumbers a dashboard would page you about — in a good way
# kubectl.execYou have shell access. Poke around.
A resume you can query. Try help, kubectl get jobs,
argocd app sync career, or sudo hire dackota.
↑/↓ history · clear to reset · everything is fair game
# kubectl get ns --show-labelsThe skills cluster — every namespace Running
# CHANGELOG.mdReleased with conventional commits since 2015
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v4.0.02025
feat!: became the platform team's lead — roadmap, priorities, mentoring, and the platform's voice to leadership. BREAKING CHANGE: carve-out from Panasonic Well onto GAAI's own AWS foundation, a dozen-plus microservices moved with zero data loss.
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v3.0.02022
feat!: joined Panasonic's first forward-deployed AI engineering team. Two generations of continuous delivery shipped; the release model set here is how the rest of the org ships.
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v2.0.02018
feat!: promoted to SRE. Immutable infrastructure, the VM-to-Kubernetes migration, and a taste for deleting toil that never went away.
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v1.0.02015
feat: initial release — sysadmin at Infusionsoft. Three OS fleets, scripted provisioning, and the discovery that everything is better automated.