Laurel
Staff Backend Engineer (Digital Foot Print)
Remote, US. Posted a month ago
The role
You will design, build, and maintain efficient backend code. You will work with cross-functional teams to solve high level business challenges and mentor junior developers.
What you will do
- Design, build, and maintain efficient, reusable, and extremely reliable code across backend components.
- Work with cross-functional teams to gather requirements and deliver software solutions.
- Identify bottlenecks and bugs to improve performance, scalability, and security.
- Provide technical guidance and mentorship to junior developers.
- Suggest improvements and new features to enhance products.
- Implement automated testing and CI/CD pipelines.
- Work with Product and Customer Success teams to flesh out business requirements.
- Participate in an on call rotation.
- Engage with product and users to provide input and opinion.
Required qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 6+ years of professional experience in Backend Software development.
- Strong understanding of Typescript, Node.js, messaging queues (ie. AWS SQS), MongoDB.
- Strong analytical and problem-solving skills.
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
- Excellent communication and collaboration skills.
- Proven ability to engage with customers and understand their needs.
Nice to have
- Full Stack knowledge
- Experience with Python (Django, FastAPI, or Flask)
- Familiarity with Airflow, PostgreSQL and NestJS
- Experience in AI
Benefits
- Competitive salary
- Generous equity
- Comprehensive medical/dental/vision coverage with covered premiums
- 401(k)
- Wellness stipend
- Commuter stipend
- FSA stipend
- Paid time off for sickness
- Bi-annual, in-person company off-sites
Before you apply
- We are not able to support visa sponsorship or relocation assistance.
About the company
Laurel is an AI Time platform for professional services firms that automates work time capture and connects time data to business outcomes. They serve large accounting and law firms and process over 1 billion work activities annually.