Applicant: Rasheed Mudasiru (Taiwrash) Role: Senior Infra Eng Target: Buffer EPD Index: buffer.taiwrash.xyz
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Reliable platforms. Boring deploys.

Buffer scales publishing infrastructure for creators with deliberate transparency. Below is an honest index of what I've actually built and run in production, and where it lines up with your platform roadmap.

00/ Production Record

Four Years, No Second Engineer

Mar 2021 – Jul 2025

I was the only infrastructure engineer at KnowNow Africa, a production SaaS company running on AWS and GCP. No escalation tier, no second engineer to hand off to at 2am. Every incident, every deploy, and every architecture decision was mine alone for four years. I cut release cycle time by 40 percent, built Prometheus and Grafana observability from nothing, and ran incident response and post-mortems as the only responder on call. That scope is why I read your BIBEs and canary work and recognize the exact shape of the problem, not because I've used every tool in your stack, but because I've carried the pager alone long enough to know what actually breaks.

01/ Tooling & DX

Trigra: Pipeline Automation Engine

Source ↗

A GitOps controller I wrote in Go, watching GitHub webhooks and reconciling Kubernetes manifests directly against the API rather than wrapping an existing tool. I built it to understand reconciliation logic from the inside. That's the same muscle your BIBEs (Buffer Isolated Build Environments) need: per-PR environments that come up clean and don't leave orphaned resources behind.

Agrepl: Local-First Deterministic Replay

Source ↗

A terminal-native developer environment for deterministic replay and offline verification of API and LLM workflows. Designed to isolate failure modes locally without relying on recurring SaaS spend or flakiness, aligning with Buffer’s policy of using AI to remove operational toil for engineers.

02/ Stack Parallels
Buffer Requirement Where I Stand
EKS & Helm Upgrades Four years running production EKS and GKE as the only infra engineer on the team: authored Helm charts, tuned autoscaling and resource requests, and handled version upgrades myself with no one to catch what I missed.
Progressive Delivery Built GitOps rollback paths with ArgoCD I'd trust in production, and wrote my own reconciliation controller (Trigra) against the raw Kubernetes API to understand the mechanics underneath it. Haven't run Argo Rollouts specifically yet; it's the first thing I'm getting hands-on with before we talk.
Cloudflare & Edge DNS Production DNS, CDN, and WAF rules on Cloudflare in front of live traffic. Workers and Zero Trust are new territory for me, not something I've shipped.
Cost Optimization Right-sized AWS compute against CloudWatch metrics and built Prometheus and Grafana dashboards from scratch to catch spend creep early. Datadog specifically I haven't used, but the discipline of watching the right signal before the bill shows up is the same one.
03/ Core Delivery

The Rollback Path I Actually Trust

EKS • ArgoCD • Prometheus

Four years without an escalation tier means every deploy had to have a rollback path I could execute half-asleep. Git stays the source of truth, ArgoCD syncs it, and Prometheus-driven health checks decide whether a release holds or backs out. Argo Rollouts and KEDA would sharpen this further, canary steps instead of a hard cutover, queue-depth scaling instead of reactive CPU triggers, and they're what I'm learning right now ahead of talking to your team.

Git Monorepo ArgoCD Sync Rolling Update Prometheus Health Gate Next: Argo Rollouts canaries Stable Release Auto-Rollback
Fig 01: GitOps rollout with Prometheus-based rollback, canary steps next.
04/ Maker Ethos

Empathy Built from Active Publishing

Buffer's platform succeeds when creators post without interruption. Alongside the infrastructure work, I run two developer communities with 280 and 208 members, have given 100 or more technical talks in five years including AWS Summit Johannesburg to 15,000 delegates, and write and record for an audience on dev.to and YouTube every week. That's four years of knowing what it feels like when a platform goes quiet on the people depending on it, so reliability isn't abstract to me, it's the difference between someone's audience showing up or not.