Jérémy Delgado
Senior Platform Engineer · Equativ
Platform Engineer with an SRE mindset — I keep distributed systems alive at scale: 2.5M requests/s, without waking up at 3 am.
0+
servers in production
0M QPS
worldwide throughput
0+
Kubernetes clusters
0 TB
PostgreSQL managed
What I do
Multi-region bare-metal and cloud fleets managed with Ansible and Terraform. From day-1 provisioning to zero-downtime deploys — with SLOs, error budgets, and postmortem culture.
Full Prometheus / Thanos / Loki / Grafana stacks. Meaningful alerts, not noisy ones. On-call culture that doesn't burn out.
On-prem and cloud K8s at scale. Rancher, ArgoCD, and the discipline to keep everything reproducible and auditable.
Cloud cost as an engineering problem. Reserved instances, spot fleets, rightsizing — spending less without sacrificing reliability.
Experience
Senior Platform Engineer
Global adtech platform. I own the reliability of a fleet serving 2.5M requests/second across EU, NA, and APAC — 4,500+ servers healthy, 30+ Kubernetes clusters running, and +50 TB of PostgreSQL humming — 24/7.
Web Architect
Multi-cloud hosting provider serving digital agencies and e-commerce platforms. As Web Architect, I designed and operated a 700-server fleet across OVH, Scaleway, Vultr, and DigitalOcean — handling client traffic spikes, zero-downtime migrations between providers, and aggressive cost optimization across heterogeneous cloud environments.
Stack
Side Projects
CLI tool that generates and copies direct links to files or branches across GitHub, GitLab, Bitbucket, and Azure DevOps.
GNU/Linux administration tutorials, system tips, and infrastructure knowledge base. Running since 2017.
Opinionated dev environment with Zsh, Neovim, Wezterm, tmux. CI validates Homebrew formulas weekly and auto-creates PRs.
Interactive explorer for Prometheus alerting rules, metric coverage, and exporter inventory — spot monitoring gaps at a glance.
Prometheus exporter that reports container image platform support across a Kubernetes cluster — catch architecture mismatches before they hit production.
AI Enthusiast
I closely follow Anthropic's Claude releases and the broader AI ecosystem — new models, APIs, and tooling — and integrate them concretely into my platform engineering workflows.
I track every Anthropic release — models, APIs, Claude Code — and evaluate what's ready for real production use.
From infra automation to code generation and smart tooling — I use AI where it genuinely reduces toil and improves reliability.
Runbooks, incident triage, config generation — AI agents handle the repetitive ops work so engineers focus on what actually requires judgment.