Role overview

Later is seeking a Staff Engineer to join the Platform’s Shared Services group. The company provides an AI-powered influencer marketing platform trusted by major brands including Nike, Wayfair, Unilever, and Southwest Airlines. This role focuses on designing and building scalable distributed services that power the platform’s core capabilities.

Key responsibilities

Design scalable, maintainable, and secure service architectures while identifying opportunities for platform-wide improvements and technical debt reduction.
Build and maintain backend services using C# with functional programming paradigms or TypeScript for web and background worker applications.
Work with both SQL and NoSQL databases, with hands-on experience designing and optimizing data models for distributed systems.
Design, containerize, and deploy services using Docker and Kubernetes, and build cloud infrastructure on AWS or equivalent platforms.
Implement and maintain CI/CD pipelines, Git workflows, and Infrastructure as Code while applying security best practices across applications and infrastructure.
Act as a technical mentor to peers and junior engineers, multiplying team impact by elevating skills and engineering practices across the organization.
Collaborate with Product Managers and cross-functional stakeholders to define requirements, scope projects, and deliver platform solutions.

Requirements

Seven or more years of professional software development experience with a strong background in distributed systems and platform engineering.
Proficiency with typed, functional programming languages such as Haskell, Scala, C#, or TypeScript.
Strong experience with SQL and NoSQL databases, with PostgreSQL expertise preferred.
Expertise in system architecture, designing secure and scalable platforms, and making architectural decisions.
Broad experience with Docker, Kubernetes, and AWS or equivalent cloud platforms.
Strong knowledge of DevOps practices including Git, CI/CD pipelines, and Infrastructure as Code.
Demonstrated ability to mentor and elevate the technical impact of team members, with proven experience in complex and ambiguous problem spaces.

What makes this role worth considering

This position offers the opportunity to work on infrastructure that powers influencer marketing decisions at a global scale, using billions of data points and verified purchase data. You’ll operate in a collaborative environment where technical leadership extends beyond coding to shaping platform standards and engineering excellence across the organization.