DevOps · Cloud · AI

Hi, I'm Idris. I build secure, automated cloud-native systems.

I'm a Software Engineer III at University of Phoenix. I automate the path from commit to production with Terraform, AWS and Kubernetes, and I'm exploring how AI can make infrastructure smarter.

Chicago, IL, USA

Portrait of Idris Fagbemi
Currently
Software Engineer III @ University of Phoenix
Focus
Terraform · AWS · Kubernetes · AI tooling
Teaching
Python & DevOps fundamentals

About

What I do

I'm a DevOps engineer passionate about building efficient and secure cloud-native systems. I focus on automation, I craft scalable workflows that empower teams and deliver value.

DevOps Automation

Building CI/CD pipelines, scalable workflows, IaC, monitoring & alerting solutions.

AI-Driven Tools

Implementing AI & ML solutions to enhance efficiency and smart infrastructure.

Training & Mentorship

Teaching Python, DevOps best-practices, and cloud fundamentals to beginners.

Experience

Where I've worked

  1. 2022 — Present

    Software Engineer III @ University of Phoenix

    • Designed and implemented infrastructure as code with Terraform and built CI/CD pipelines on AWS CodePipeline.
    • Deployed scalable containerised applications with Docker across S3, ECS, Lambda, API Gateway, ECR and DMS.
    • Orchestrated data workflows with AWS Glue and built Python data pipelines, using Great Expectations with Airflow to enforce data quality.
    • Led database and file migrations to S3 for cost optimisation, with Athena and Lake Formation for data governance, plus a UI for managing data archives.
    • Set up AWS Transfer Family with SSO for secure partner access.
    • Built AI-powered tooling for Alation using Flask, refine.dev, Ollama, Azure AI and Amazon Bedrock.
  2. 2020 — 2022

    IS System Analyst @ Medline Industries, LP

    • Owned Punch-out mapping and organisation setup for B2B and B2C commerce systems.
    • Resolved customer order issues, including stuck transmissions, and maintained user and banner configurations.
    • Ran load tests to validate performance and used the ELK Stack for centralised logging and monitoring.
    • Deployed and managed applications on Kubernetes for improved scalability and reliability.
    • Worked with product owners and delivered Jira sprint commitments.
  3. 2016 — 2017

    Computer Information Systems Tutor @ Harry S Truman College

    • Tutored students in Java, HTML, and Microsoft Office, and explained programming fundamentals and data structures.

Toolbox

Skills & technologies

Cloud & AWS

  • S3
  • ECS
  • Lambda
  • API Gateway
  • ECR
  • Glue
  • Athena
  • Lake Formation
  • DMS
  • CodePipeline
  • Transfer Family
  • Azure AI

Infrastructure & Delivery

  • Terraform
  • Docker
  • Kubernetes
  • K3s
  • Jenkins
  • GitHub Actions
  • Cloudflare Tunnel
  • Linux

Data & Observability

  • Python data pipelines
  • Airflow
  • Great Expectations
  • ELK Stack
  • SQL
  • Load testing (Locust)

AI & Application

  • Amazon Bedrock
  • Ollama
  • LangChain
  • Python
  • Flask
  • refine.dev
  • JavaScript

Selected work

Recent projects

All projects

TunnelFlow

A self-hosted platform for managing Cloudflare Tunnels from a single place, instead of juggling tunnel configs by hand.

  • Cloudflare Tunnel
  • Self-hosted
Read the write-up

AI-Powered Alert Triage on K3s

A production-grade K3s cluster with AI-assisted triage of its alerts, so on-call time goes to fixing problems rather than sorting noise.

  • K3s
  • Kubernetes
  • AI
Read the write-up

Untrusted AI DevOps Engineer

An AI DevOps agent designed from day one not to be trusted, as an exploration of the guardrails needed before AI touches production.

  • AI agents
  • Guardrails
  • DevOps
Read the write-up

AI Build-Log Analysis for Jenkins

Uses GPT-4 and LangChain to read failed Jenkins build logs and explain what broke and how to fix it.

  • Jenkins
  • LangChain
  • GPT-4
Read the write-up

Working with Idris has been a truly exceptional experience. His professionalism, attention to detail, and commitment to delivering high-quality results exceeded my expectations. From start to finish, he demonstrated deep expertise and a genuine passion for his work. I highly recommend him to anyone seeking reliable and innovative solutions.

Abraham AdeolaDevOps Engineer

Education

Academic background

2021 — 2023

Master's in Information Technology

Purdue University Global

2017 — 2019

B.S., Information Technology & Management

Illinois Institute of Technology

2017

Computer Information Systems

Harry S Truman College

Let's build something reliable.

Open to DevOps, cloud and platform engineering conversations, mentoring, and collaborations on AI-driven tooling.