Senior Backend Platform Engineer – Real-Time Data & ML

Trov; San Francisco, Northern (CA, KY); Hybrid; USD 196,000 - 265,000; Full time

Benefits offered by this job

Healthcare coverage

Flexible PTO

Remote work option

Meal stipends

Education stipend

Parental leave

Commuter stipend

Job summary

Pave's Core Platform team is seeking a senior backend engineer to own authentication services and the data infrastructure powering its real-time compensation platform. You will drive large, cross-functional initiatives with strong systems thinking in a fast-paced environment.

The role emphasizes scalable design, TypeScript/Node.js expertise, and collaboration across engineering, product, and data teams. Equity and generous benefits accompany a hybrid setup in San Francisco.

Qualifications

• 5+ years of backend engineering experience building data intensive applications.
• Strong TypeScript and Node.js capabilities.
• Ability to design generalized platform solutions that scale across products.
• Experience leading large technical projects with ambiguity and multiple stakeholders.
• Execution-driven mindset in fast-paced environments.

Responsibilities

• Own critical services like user authentication and authorization.
• Own foundational data infrastructure and models powering the platform.
• Drive large, cross-organizational initiatives across the company.
• Collaborate with product and platform engineering to ship enterprise-grade software.

Skills

Backend engineering

Data pipelines

TypeScript/Node.js

Cross-functional leadership

System design

ML/AI platform

Tools

MySQL

Prisma

React

GCP

Node.js

Job description

Pave's Core Platform team is seeking a senior backend engineer to own authentication services and the data infrastructure powering its real-time compensation platform. You will drive large, cross-functional initiatives with strong systems thinking in a fast-paced environment.

The role emphasizes scalable design, TypeScript/Node.js expertise, and collaboration across engineering, product, and data teams. Equity and generous benefits accompany a hybrid setup in San Francisco.