About HyperFi
We'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 Engineer to join early someone who knows what production ready really means, 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 a clean-slate environment: no legacy, no gatekeeping, just impact.You have strong opinions? We want to hear them.
What You'll Do
- Own and evolve our Terraform-based GCP stack provisioning services, networking, and secrets
- Design and operate CI/CD pipelines (GitHub Actions, Cloud Build) to keep deploys fast and safe
- Implement and maintain observability (metrics, logs, traces, alerts) with tools like DataDog or OpenTelemetry
- Partner with backend engineers to define service boundaries, infrastructure modules, and deployment patterns
- Help shape Databricks and Unity Catalog infrastructure, including workspace automation and secrets management
- Drive reliability practices health checks, rollbacks, autoscaling, graceful degradation
- Build internal developer tooling that makes local development and preview environments smooth and repeatable
- Be 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 Build
- Runtime: Python (Sanic + async services), Postgres, Databricks, event-driven pipelines
- Observability: OpenTelemetry, DataDog (you'll help decide), GCP Monitoring
- Everything as code: infrastructure, schema, pipelines
You'll have a strong hand in choosing how we monitor, alert, and observe.
How We Build
- Engineers come first: your time, focus, and judgment are respected
- Deep work > chaos: fixed cycles & cooldowns protect focus and keep context switching low
- Autonomy is the default: trusted builders who own outcomes, no babysitters
- Ship daily, safely: merge early, integrate vertically, ship often, use feature flags, and keep momentum
- Outcomes over optics: solve real problems, not ticket soup
- Voice matters: from week one, contribute, improve something, and shape how we build
- Senior peers, no ego: collaborate in a high-trust, async-friendly environment
- Bold problems, cool tech: work on complex challenges that actually move the needle
- Fun is part of it: we move fast, but we also celebrate wins and laugh together
What We're Looking For
- 6–8 years of experience in DevOps, Platform, or SRE-type roles
- Expert-level Terraform and strong command of GCP primitives
- Proven ability to own CI/CD pipelines and production deployment workflows
- Hands-on familiarity with Python services, especially async backends
- Practical knowledge of observability, security, and IaC best practices
- Startup-ready mindset: pragmatic, lean, self-directed, allergic to bureaucracy
- Confident English communication for cross-hub collaboration
Bonus If You:
- Have run DataDog, Prometheus, Grafana, or OpenTelemetry in production
- Built ephemeral or preview environments for dev/test
- Automated Databricks or Unity Catalog workspace provisioning
- Designed internal CLI tools or DX improvements
- Survived (and learned from) a real-world incident or outage
Location & Compensation
- Must be based in San Francisco, Las Vegas, or Tel Aviv
- Full-time role with competitive comp
- Flexible hours, async-friendly culture, engineering-led environment
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