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Senior Platform Engineer (DevEx)

Monaco
|AI Sales
San Francisco
full-timeEngineering

Job Description

Monaco is building an AI-native revenue platform that replaces the fragmented GTM stack - CRM, sequencing, call recording, enrichment, pipeline management with one unified system, consolidating 6–10 disconnected tools into a single platform built for the AI era. We launched publicly in Feb 2026, are already 65 people, and have strong early product-market fit generating millions in ARR within months of launch. You'll have the chance to both scale our core systems and build new features from 0 to 1. We've raised $85M in our Series B from Founders Fund, Benchmark, and Human Capital, and our founders previously led Brex, Apollo, and Clari. Come join us if you want to be part of a high autonomy, high pace team reinventing one of the biggest categories in enterprise software.

The Role You'll own the internal developer platform that every engineer at Monaco builds on - the systems, environments, and tooling that turn an idea into shipped product with as little friction as possible. This is a high-leverage, wear-many-hats role: your work multiplies the output of the entire engineering team. You'll define the golden paths for how we develop, test, and ship, and you'll get to do it at a company that treats AI-assisted development as a first-class part of the workflow, not an afterthought.

What You'll Do

  • Build out Monaco's internal developer platform. Create the self-service tooling, golden paths, and internal systems engineers reach for every day — and set the standard for what great developer experience looks like here.
  • Extend functionality to development environments. Bring new capabilities to both local and cloud-hosted dev environments so engineers get a fast, production-like setup wherever they work.
  • Own our remote development environment orchestration. Take ownership of the internal system that provisions and manages cloud-hosted development environments at scale.
  • Own our internal AI-assisted engineering automation. Take ownership of the platform that brings AI agents into our engineering workflows, extending what the team can automate and accomplish.
  • Own test data propagation to lower environments. Make realistic, safe data flow into development and QA systems so engineers can build and test against environments that mirror production.
  • Partner across engineering. Work directly with product teams to find and remove friction across the full development lifecycle, and grow the platform as the company scales.

What You'll Bring

  • 5 + years of experience building internal developer platforms or developer-experience tooling that other engineers depend on.
  • Deep hands-on experience with AWS, Kubernetes, Terraform, and GitOps-based delivery (e.g. FluxCD, Helm).
  • Experience provisioning and managing developer environments — local and cloud-hosted.
  • Comfort building self-service systems and internal tools that make the right thing the easy thing.
  • Ability to ramp quickly and move fast without hand-holding.

Nice to Have

  • Experience with test data seeding, cloning, or anonymization for lower environments.
  • Experience integrating AI/LLM tooling into developer workflows.
  • Container and machine-image build experience (Docker, Packer) for reproducible environments.

Location San Francisco. We're an in-person team - 5 days in the office. At this stage, proximity genuinely accelerates product quality and team cohesion.

About Monaco

First seen: July 15, 2026
Last updated: August 5, 2026