DevOps / Platform Engineer

About the job Our client is a U.S.-based private real estate investment firm with a fully custom, cloud-native data platform: 60+ Cloud Run services, ETL pipelines, internal analytics apps, and AI-assisted tooling — all built in-house over the past five years. They're hiring their first dedicated platform engineer to own the reliability and operational health of that stack. The role in one sentence: you're the 911. When something breaks, you're first on the scene. When something's about to break, you've already caught it. What you'll own: Build a centralized observability dashboard (live health, error logs, cost anomalies, expiring credentials) — this is your first deliverable Monitor all ETL pipelines and Cloud Run services; respond to alerts before they cascade Proactive maintenance: dependency upgrades, security patches, GCP migrations IAM and secrets governance across the full stack Cloud and BigQuery billing governance — investigate spikes to the root cause Deployment safety: staging environments, rollback paths, release practices The stack: GCP — Cloud Run, BigQuery, Firestore, Vertex AI Search Python-based ETL pipelines Next.js frontends Heavy AI-assisted development (Cursor and similar tools) You're a strong fit if: ✅ You have deep, hands-on GCP experience — not just familiarity ✅ You think serverless-first (Cloud Run is your default) ✅ You use AI coding tools daily and know when to push back on them ✅ You've built observability systems or removed single-person dependencies before ✅ You can commit to US Eastern / Central business hours — this is a hard requirement Not a fit if your cloud experience is primarily AWS or Azure, or you prefer greenfield builds over maintaining and hardening existing systems. Location: Remote from Colombia Hours: Must align with Central time zone USA #GCP #DevOps #PlatformEngineering #Colombia #RemoteWork #CloudRun