Staff Data Engineer
@ Laurel

Hybrid
$225,000
Hybrid
Full Time
Posted 1 day ago

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XXXXXXXXXX XXXXXXXXX XXXXXXX******* @laurel.com
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Job Details

Overview

Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, Laurel is transforming how organizations capture, analyze, and optimize time through machine learning technologies. They serve top Accounting and Law firms and process over 1 billion work activities annually.

About the Role

The Staff Data Engineer will join the Time Owls on the infrastructure and security team. This role focuses on enabling fast, efficient, scalable, and secure work for AI engineers and data scientists by developing tools, optimizing systems, and ensuring best engineering practices.

Responsibilities

  • Develop Terraform modules and Go libraries for infrastructure management.
  • Enhance Python API Services (Django) for improved AI model serving.
  • Optimize Airflow DAGs and database usage (MongoDB and Postgres).
  • Maintain Kubernetes, Docker, and compute infrastructure for engineering.
  • Improve CI/CD automation and participate in oncall rotations.
  • Collaborate with teams to improve reliability, security, and observability.
  • Engage with vendors to drive cost efficiency.
  • Write backend code to deliver functionality under tight deadlines.
  • Attend quarterly offsites and regular company meetings.

What We're Looking For

Candidates must have 6+ years of experience with strong Python skills, work experience with AWS, Kubernetes, Airflow, Terraform, Linux administration, and CI tooling, along with exposure to machine learning and large language models. Experience in startup environments is essential.

Nice to Haves

  • Experience with Argo and cdk8s.
  • Familiarity with Open Telemetry, Spacelift, CircleCI/GitHub Actions.
  • Knowledge of Typescript and Go.

Flexibility and Logistics

This role is hybrid with company hubs in New York, San Francisco, or Los Angeles. Exceptionally qualified remote candidates in the US and Canada may be considered. Visa sponsorship and relocation are not available.

Why Join Laurel

Laurel is backed by significant venture funding and notable investors, and offers a smart, collaborative team environment with excellent benefits including equity, 401(k), medical coverage, and bi-annual offsites.

Key skills/competency

  • Python
  • AWS
  • Kubernetes
  • Terraform
  • CI/CD
  • Airflow
  • Linux
  • Postgres
  • MongoDB
  • Infrastructure
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How to Get Hired at Laurel

🎯 Tips for Getting Hired

  • Customize your resume: Tailor technical skills and projects to Laurel requirements.
  • Showcase AWS expertise: Highlight Kubernetes, Terraform, and CI/CD experience.
  • Research Laurel: Review mission, culture, and success stories online.
  • Prepare for technical interviews: Practice Python, infrastructure, and ML concepts.

📝 Interview Preparation Advice

Technical Preparation

Review AWS, Kubernetes, and Terraform documentation.
Practice Python API service development and debugging.
Study CI/CD pipeline creation and database tuning.
Revisit Airflow DAG configuration and Linux administration.

Behavioral Questions

Describe a challenging oncall incident resolution.
Explain cross-team collaboration during tight deadlines.
Discuss adapting to rapid tech changes.
Share experience working in startup environments.

Frequently Asked Questions