Helm plugins

Diagnose, audit, and secure platform infrastructure across Kubernetes, GitOps, CI/CD, cloud providers, and service mesh with structured troubleshooting, blast radius analysis, validation steps, and rollback plans.

Manage a Kubernetes-native data center platform: provision projects with isolated VPCs, deploy VMs via KubeVirt, create PostgreSQL or MariaDB databases, expose services with HTTPS/TLS or EIP/LoadBalancer, configure RBAC and multi-tenancy, handle encryption keys and managed secrets via OpenBao, request x509 certificates, and manage Kubernetes cluster day-2 operations — all through kubectl and custom resource definitions.

Orchestrate AI agent workflows across IDEs with structured planning, implementation, testing, and documentation generation, plus infrastructure-as-code support and multi-agent coordination.

Manage Kubernetes and Helm workflows: deploy, upgrade, rollback releases; create, lint, package charts; debug pods, nodes, and deployment failures using kubectl and helm diagnostics. Includes ArgoCD SSO authentication for cluster operations.

Orchestrate Harness CD deployment pipelines using state-machine workflows with agentic patterns. Initiate deployments from git repos/branches/envs, monitor status/history, validate Kubernetes/Helm configs and prereqs, approve production releases, and execute safe rollbacks across environments.

Enterprise Jira orchestration with 81 agents, 16 teams, and 46 commands for automating the full issue lifecycle — triage, sprint planning, subtask decomposition, code implementation, PR management, Confluence documentation, and Harness CI/CD deployments — with multi-agent reasoning patterns and compliance tracking.

Build, debug, and optimize GitHub Actions CI/CD workflows; generate and troubleshoot Helm charts for ArgoCD Applications, ApplicationSets, and multi-cluster deployments; install, configure, scale, and extend ArgoCD; manage and upgrade Crossplane compositions for AWS RDS infrastructure on Kubernetes.

Provision and manage AWS EKS clusters with Helm, Keycloak authentication, and Harness CI/CD pipelines, including local development environments, deployment strategies, and ephemeral preview environments.

Self-host Infisical for secure secrets management by deploying production-ready instances on Docker, Docker Compose, or Kubernetes with Helm. Set up ENCRYPTION_KEY, integrate PostgreSQL and Redis backends, enable FIPS compliance, harden configurations, scale horizontally, and ensure high availability.

Assume the Senior DevOps Engineer role to architect production infrastructure on AWS, GCP, and Azure using Docker, Kubernetes, and Terraform; design GitOps CI/CD pipelines with ArgoCD and GitHub Actions; configure Prometheus/Grafana monitoring stacks; implement Vault secrets management; conduct incident response with runbooks and postmortems; and optimize cloud costs through FinOps practices.

Manage BC Government .NET/React/OpenShift projects with specialized agents handling CI/CD, security analysis, deployment, network architecture, and development workflows across the full project lifecycle.

Containerize apps into secure, production-grade Dockerfiles and docker-compose files, deploy zero-shot to Minikube Kubernetes with auto-generated Helm charts, build MCP servers for AI agents using FastMCP and OpenAI SDKs, generate polished React/Vue/HTML UIs and ChatGPT widgets, fetch filtered official docs for key libraries, validate skills against production criteria, and run discovery conversations to clarify intents.

Deploy and manage OpenTelemetry Collector pipelines shipping to Coralogix, instrument applications with OTel SDKs, write and debug OTTL transformations, and resolve telemetry semantic issues across Kubernetes and cloud environments.

Detect cloud providers, Kubernetes setups, and DevOps tools in projects, then automate infrastructure provisioning with Terraform, orchestrate CI/CD pipelines and deployments across AWS, GCP, Azure, Helm, Fly.io, Railway, and Vercel, manage Supabase Postgres databases, and handle Jira/Linear issues via CLI skills and specialized agents.

Deploy and configure Grafana MCP server via Docker, binary, or Helm to expose 50+ API tools for AI-assisted creation, management, and troubleshooting of dashboards, datasources, alerting rules, and incidents in Grafana 9.0+.

Enforce a structured AI-assisted software engineering lifecycle with quality gates, artifact validation, and automated workflows for planning, building, reviewing, deploying, and releasing code.