Helm plugins

Streamline Airflow data engineering workflows using Astro CLI: initialize and manage local/production environments, author/debug/deploy DAGs, profile warehouse schemas with lineage tracing, integrate dbt Cosmos, query tables, and migrate to Airflow 3.x.

Manage full Kubernetes-native data centers in Kube-DC using kubectl: create isolated projects with VPCs, deploy KubeVirt VMs supporting multiple OS images, provision Postgres/MariaDB databases, deploy Helm apps with persistent storage, configure networking via EIPs/FIPs/Gateways, handle storage buckets/PVCs, check quotas, manage RBAC/groups, scale clusters, and SSH/debug VMs.

Autonomously scaffold production-ready projects from universal templates like Cookiecutter, Copier, Handlebars, and Maven archetypes; generate Harness CI/CD pipelines, Docker/Kubernetes/Helm environments; manage full lifecycle with agents for testing, APIs, databases, and deployments.

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.

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.

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.

Troubleshoot root causes and apply validated fixes for Kubernetes clusters, GitOps pipelines (Flux/ArgoCD), Terraform IaC, Linkerd service meshes, Linux networking, and observability stacks; scaffold production Helm charts and MCP servers; review configs for security; ensure SOC 2 compliance; generate platform frameworks and docs.

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.

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.

Orchestrate enterprise Jira workflows end-to-end with 81 AI agents, 46 commands, and skills: triage/prioritize issues, decompose into subtasks, generate code/tests/docs/PRs via Git/Harness, execute CI/CD pipelines on Kubernetes/Helm/Terraform, manage reviews/deployments/releases, monitor SLAs/audits, sync Confluence/Obsidian—all with multi-agent coordination, Temporal persistence, and human-in-loop gates.

Set up AWS EKS clusters with Helm charts and Keycloak OIDC authentication, generate Harness CI/CD pipelines for GitOps deployments (rolling/canary/blue-green), onboard microservices, create ephemeral preview environments, spin up local Kind+LocalStack dev setups, and debug issues interactively via agents and commands.

Automate enterprise team workflows across full-stack and multi-cloud environments: provision infrastructure with Terraform and Kubernetes, build CI/CD pipelines via GitHub Actions, enforce code quality and run test suites with Playwright/Vitest, generate OpenAPI docs and Mermaid diagrams, monitor performance with Prometheus/Grafana, and deploy to AWS/Azure/GCP.

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 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+.