Skills

AWS

Production ECS, Lambda, and migration proofs; IaC and CI/CD for enterprise environments

Azure

Platform operations for critical enterprise services, capacity planning, and DR targets

GCP

Multi-cloud delivery and platform patterns alongside AWS and Azure workloads

Kubernetes

Production platform operations, GitOps delivery, observability, and incident response

Docker

Containerized microservices and cluster automation across enterprise platforms

Terraform

Version-controlled provisioning across AWS and Azure; module testing in CI

Ansible

Cluster creation and platform updates for Docker, Jenkins, and related tooling

GitHub Actions

Standardized CI/CD and create-and-destroy infrastructure tests

Jenkins

Enterprise pipelines and self-service developer delivery paths

Argo CD

GitOps overlays for reproducible lab and platform workloads (efokou-labs)

Prometheus

Metrics and alerting for distributed services and AI workflow telemetry

Grafana

Unified dashboards for production operations and MTTR reduction

Datadog

Enterprise monitoring and incident response alongside cloud-native stacks

ELK Stack

Centralized log pipelines for faster root-cause analysis during outages

PagerDuty

On-call alerting and incident workflows across service boundaries

Python

Automation, services, and Agentic AI orchestration in production contexts

Go

Platform tooling, monitoring helpers, and cloud automation

Java

Enterprise systems engineering and platform integration work

JavaScript / Node.js

Full-stack delivery for portfolio platforms and developer-facing UIs

Bash

Operational automation for deployment, monitoring, and incident response

LLM orchestration

Multi-step agents with tool routing and human-in-the-loop checkpoints

RAG

Grounded answers over internal docs with evaluation harnesses

Observability for AI

Latency and cost telemetry wired into Prometheus and Grafana stacks