Senior Platform Engineer

About HyperFiWe're building the kind of platform we always wanted to use: fast, flexible, and built for making sense of real-world complexity. Behind the scenes is a robust, event-driven architecture that connects systems, abstracts messy workflows, and leaves room for smart automation. The surface is clean and simple. The interactions are seamless and intuitive. The machinery underneath is anything but. That's where you come in.We're a well-networked founding team with strong execution roots and a clear roadmap. We're backed, focused, and delivering fast.We're looking for a Senior Platform Engineerto join early — someone who knows what "production ready"reallymeans, and who's excited to build the infrastructure, observability, and tooling that power everything else.You'll work closely with our engineers and CTO to design and evolve the foundation of our systems — from GCP Terraform modules to Databricks pipelines and deployment flows.This is aclean-slate environment: no legacy, no gatekeeping, just impact.You have strong opinions? We want to hear them. What You'll DoOwn and evolve our Terraform-based GCP stack — provisioning services, networking, and secretsDesign and operate CI/CD pipelines (GitHub Actions, Cloud Build) to keep deploys fast and safeImplement and maintain observability (metrics, logs, traces, alerts) with tools like DataDog or OpenTelemetryPartner with backend engineers to define service boundaries, infrastructure modules, and deployment patternsHelp shape Databricks and Unity Catalog infrastructure, including workspace automation and secrets managementDrive reliability practices — health checks, rollbacks, autoscaling, graceful degradationBuild internal developer tooling that makes local development and preview environments smooth and repeatableBe a multiplier: improve our developer experience , not just uptime Tech Stack (So Far)Infra: Terraform, GCP (Cloud Run, Pub/Sub, GKE, CloudSQL, Secrets Manager)CI/CD: GitHub Actions, Cloud BuildRuntime: Python (Sanic + async services), Postgres, Databricks, event-driven pipelinesObservability: OpenTelemetry, DataDog (you'll help decide), GCP MonitoringEverything as code: infrastructure, schema, pipelinesYou'll have a strong hand in choosing how we monitor, alert, and observe. How We BuildEngineers come first: your time, focus, and judgment are respectedDeep work > chaos: fixed cycles & cooldowns protect focus and keep context switching lowAutonomy is the default: trusted builders who own outcomes, no babysittersShip daily, safely: merge early, integrate vertically, ship often, use feature flags, and keep momentumOutcomes over optics: solve real problems, not ticket soupVoice matters: from week one, contribute, improve something, and shape how we buildSenior peers, no ego: collaborate in a high-trust, async-friendly environmentBold problems, cool tech: work on complex challenges that actually move the needleFun is part of it: we move fast, but we also celebrate wins and laugh together What We're Looking For6–8 years of experience in DevOps, Platform, or SRE-type rolesExpert-level Terraform and strong command of GCP primitivesProven ability to own CI/CD pipelines and production deployment workflowsHands-on familiarity with Python services, especially async backendsPractical knowledge of observability, security, and IaC best practicesStartup-ready mindset: pragmatic, lean, self-directed, allergic to bureaucracyConfident English communication for cross-hub collaboration Bonus If You:Have run DataDog, Prometheus, Grafana, or OpenTelemetry in productionBuilt ephemeral or preview environments for dev/testAutomated Databricks or Unity Catalog workspace provisioningDesigned internal CLI tools or DX improvementsSurvived (and learned from) a real-world incident or outage Location & CompensationMust be based in San Francisco, Las Vegas, or Tel AvivFull-time role with competitive compFlexible hours, async-friendly culture, engineering-led environment