Staff Engineer - Automations and Infrastructure

Laurel

1d•$178,000 - $197,000

About The Position

Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform. Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you. About the Role Laurel’s Business Technology team is dedicated to providing reliable, secure, and easy-to-use technology for our employees. This role is crucial for managing our internal IT environment — operating at the intersection of platform, AI, and internal systems. You are the technical anchor for how the company connects systems, automates internal workflows, and embeds intelligent capabilities into the company's infrastructure.

Requirements

7+ years of experience managing corporate IT infrastructure in a modern, cloud-first environment
Demonstrated experience building or operating AI-powered systems — including evaluating LLM tooling, managing AI infrastructure, and thinking critically about reliability, cost, and governance tradeoffs
Strong experience with Workato or similar IPaaS solution, MacOS, and managing Okta or similar IDP platforms
Clear judgment, architectural thinking, and the ability to drive complex systems
Proven experience managing SaaS ecosystems and identity lifecycle (onboarding/offboarding)
Experience working in high-growth or startup environments
Excellent stakeholder engagement and communication skills

Responsibilities

Own the architecture and technical strategy for internal automation systems — defining how the company's tech stack (HRIS, Okta, Salesforce, and others) connects, scales, and stays maintainable
Architect and manage cloud-based infrastructure (AWS, GCP, or Azure) — including compute, networking, storage, and security
Design and automate onboarding/offboarding workflows, including provisioning and deprovisioning access
Own the architecture and lifecycle of internal AI tooling (e.g. Vercel, Supabase, Claude, ChatGPT— from evaluation through deployment, access governance, and deprecation
Ensure proper access controls, least-privilege principles, and audit readiness across systems
Establish CI/CD standards and error-handling patterns for automation systems so they're reliable, observable, and maintainable at scale