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. Thats where you come in.
Were a well-networked founding team with strong execution roots and a clear roadmap. Were backed, focused, and delivering fast.
Were looking for a Senior Platform Engineer to join early someone who knows what production ready really means, and whos excited to build the infrastructure, observability, and tooling that power everything else.
Youll 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 Youll 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
- Build internal developer tooling that makes local development and preview environments smooth and repeatable
- Be a multiplier : improve our developer experience , not just uptime
- 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
- Everything as code : infrastructure, schema, pipelines
Youll have a strong hand in choosing how we monitor, alert, and observe.
Engineers come first : your time, focus, and judgment are respectedDeep work >chaos : fixed cycles & cooldowns protect focus and keep context switching low
Autonomy 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 Were Looking For68 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 collaborationHave 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 outageMust be based in San Francisco, Las Vegas, or Tel AvivFull-time role with competitive compFlexible hours, async-friendly culture, engineering-led environmentHybrid (Tel Aviv-Yafo, Tel Aviv District, IL)
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