Staff Platform Engineer

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 infrastructure team is lovingly named the Time Owls. We make Laurel's infrastructure more reliable, secure, and easy to use. Our team builds and maintains the tools, platforms, and automation that enable engineers across the company to work with AWS, Kubernetes, and other services easily and safely. We contribute to all applications in the company and act as both best-practice advocates and policy enforcers.

This role will work mostly with our application engineers. The majority of our application backends are written in TypeScript. You'll own critical platform capabilities — from preview environments and deployment pipelines to infrastructure-as-code and observability — and you'll be a force multiplier for every engineer at Laurel.

If you are more interested in data, ML, and AI infrastructure, please check out our Data Engineering role.

RESPONSIBILITIES

• Write and maintain Terraform modules and Go libraries that other teams use to manage their infrastructure.

• Develop and manage Kubernetes, Docker, and compute infrastructure for all of engineering.

• Build and improve preview environments, continuous integration, continuous deployment, and other developer-experience automation.

• Design and implement infrastructure for high availability and regional resiliency.

• Participate in an on-call rotation and help drive improvements to incident response processes.

• Help teams improve their reliability, security, and observability through documentation, pull requests, and purpose-built tooling.

• Work with vendors, engineers, and stakeholders to improve the cost efficiency of our services.

• Write backend code (primarily TypeScript) to help teams deliver functionality when there are deadlines or resource constraints.

• Attend quarterly offsites (required travel), team standups, and other company meetings.

• Raise the bar for engineering quality and advocate for best practices across the organization.

• Implement fundamental security controls, conduct security reviews, and ensure the overall stability and compliance of the platform.

WHAT WE'RE LOOKING FOR

The following are our non-negotiables for candidates.

• Experience with Kubernetes and AWS.

• Development experience with Terraform, Go, and TypeScript.

• Experience working in startup environments.

• Significant experience with Linux administration.

• Familiarity with Git and infrastructure-as-code workflows.

• Experience participating in a regular engineering on-call rotation.

• Experience with CI/CD tooling and platforms.

NICE TO HAVES

The following would help make this role a perfect fit.

• Experience with Argo (Workflows and/or CD).

• Experience with cdk8s.

• Experience with OpenTelemetry and observability platforms (e.g., Observe, Datadog).

• Experience with MongoDB and PostgreSQL.

• Experience with Spacelift.

• Experience with CircleCI and/or GitHub Actions.

• Experience with event-driven architectures (e.g., Kafka, SQS).

• Familiarity with machine learning infrastructure and large language models.

FLEXIBILITY AND LOGISTICS

• Location: This role is remote, with preference for candidates based near our hubs in San Francisco, Los Angeles, or New York City.

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

• Visa Sponsorship: Unfortunately, we are unable to sponsor visas at this time.

• What happens if my kid or I are sick on a workday? Take all the time you need! We'll cover for you. And send you some soup.

WHY JOIN LAUREL:

• To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian

• A smart, fun, collaborative, and inclusive team

• Great employee benefits, including equity and 401K

• Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team

• An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time

We encourage diverse perspectives and rigorous thinkers who aren't afraid to challenge the status quo. Laurel is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are not able to support visa sponsorship or relocation assistance. 

If you think you'd be a good fit for this role, we encourage you to apply, even if you don’t perfectly match all the bullet points in the job description. At Laurel, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. Every day, we aim to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer!