C

Enterprise Engineer

Coinbase
NewPosted yesterday

LOCATION

United States · Remote

EXPERIENCE

3 - 6 Years

SALARY

$135.32K - $159.2K /year

SKILLS REQUIRED

System DesignRESTful APIsAPI IntegrationData PipelinesObservabilityIncident response

Job description

Overview

Build and operate workflows, integrations, and data foundations for Coinbase's Legal technology stack. Partner with Legal, Compliance, Security, and Engineering teams to deliver reliable, auditable, and scalable platform improvements and automation.

What you'll do

  • Own Ironclad architecture, workflows, and contract lifecycle management, including integrations to upstream and downstream systems.
  • Build and maintain system integrations using Workato and APIs, including automation that reduces manual intake and fulfillment work across Legal platforms.
  • Support and evolve adjacent Legal Platforms such as Evisort, Brightflag, and DocuSign, with a focus on workflows, integrations, and operational reliability.
  • Execute data migrations, backfills, reconciliations, and ongoing data hygiene to maintain system integrity across the legal toolchain.
  • Govern platform access and credentials for Legal systems, including service account and token lifecycle management, access controls, and operational documentation.
  • Partner with Legal, Compliance, Security, and Engineering teams to deliver cross-functional outcomes and ship changes safely to production.

What you'll need

  • 3 to 6+ years administering and evolving Ironclad and/or DocuSign, or comparable CLM and eSignature platforms, in a production environment.
  • Experience with complex template, workflow, and permissions design.
  • Hands-on experience building integrations using Workato or similar iPaaS tools, REST APIs, webhooks, authentication flows, and structured data payloads.
  • Ability to debug integration failures and resolve data inconsistencies across systems.
  • Demonstrated experience performing data migrations, bulk data loads, and reconciliations with a track record of maintaining data integrity at scale.
  • Ability to own a platform end-to-end, operating independently without detailed requirements and translating technical details into clear guidance for Legal and business stakeholders.
  • Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
  • Ability to responsibly use generative AI tools and copilots, such as LibreChat, Gemini, and Glean, in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Details

  • Location: Remote - USA.
  • Quarterly in-person working sessions called “surges” are expected.

Read the full description and apply on the company’s own careers page.

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Enterprise Engineer