Staff Data Engineer

Laurel

84d

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, Grant Thornton, and Latham & Watkins, 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.

Requirements

• 6+ years of experience in the following areas:
• A developer with strong Python skills building and deploying APIs to support our AI team in delivering models to end users.
• Experience with Airflow, Kubernetes, AWS.
• Experience with Machine Learning and Large Language Models.
• Development experience with Terraform.
• Experience working in startup environments.
• Significant experience with Linux administration.
• Experience with taking part in a regular engineering oncall rotation.
• Experience with any CI tooling/platforms.
• Experience with Postgresql and Mongodb.

Nice To Haves

• Experience with Argo.
• Experience with cdk8s.
• Experience with Open Telemetry & Observe.
• Experience with Spacelift.
• Experience with CircleCI and/or GitHub Actions.
• Experience with Typescript and Go.

Responsibilities

• Write Terraform modules and Go libraries other teams can use to manage their infrastructure.
• Work on Python API Services (Django) to improve the serving of our AI infrastructure.
• Improve Airflow DAGs and optimize MongoDB and Postgres usage.
• Develop and manage kubernetes, docker, and compute infrastructure for all of engineering.
• Improve continuous integration, continuous deployment, and other automation.
• Participate in an oncall rotation.
• Help teams improve their reliability, security and observability through documentation, pull requests and developing tooling.
• Work with vendors, engineers and others to improve the cost efficiency of our services.
• Write backend code to help teams deliver functionality when there are deadlines or lack of resources.
• Attend quarterly offsites (required travel), team standups, and other company meetings.
• Raise the bar for quality and advocate to make our engineering best practices.

Benefits

• Comprehensive medical/dental/vision coverage with covered premiums.
• 401(k).
• Additional benefits including wellness/commuter/FSA stipends.

What This Job Offers

• Job Type: Full-time
• Number of Employees: 101-250 employees