Senior Platform Engineer for AI-Powered Marketing

Narrato; Palo Alto (CA); Hybride; USD 210 000 - 240 000; Plein temps

Résumé du poste

Typeface in Palo Alto, CA is seeking a Senior Platform/Backend Engineer to design and scale the backend systems powering our AI-driven marketing platform. You will shape distributed services, API design, and cloud infra for high availability and security.

This hybrid role requires 10+ years in backend or platform engineering, expertise in Python/Go/Java/Rust, and experience with Docker, Kubernetes and AWS/GCP/Azure. Collaboration with product and AI teams is essential.

Qualifications

• 10+ years of backend or platform engineering experience.
• Bachelor's or Master's degree in CS, Engineering, or a related field.
• Deep expertise in at least one backend language (Python, Go, Java, Rust) and cloud platforms.
• Experience with Docker, Kubernetes, and distributed systems.
• Ability to work in a hybrid Palo Alto environment.

Responsabilités

• Design, build, and operate distributed backend systems and scalable APIs.
• Architect infrastructure to support AI/LLM workloads — model serving and data pipelines.
• Improve reliability, performance, and security across production services.
• Own cloud infrastructure decisions and observability practices.
• Collaborate with Product, Engineering, and AI/ML teams to translate requirements.
• Identify bottlenecks to optimize latency, throughput, and cost.
• Mentor and support junior engineers.

Connaissances

Backend engineering

Distributed systems

API design

Team collaboration

B2B / enterprise SaaS

Formation

Bachelor's or Master's in CS/Engineering

Outils

Docker

Kubernetes

AWS

GCP

Azure

Description du poste

Typeface in Palo Alto, CA is seeking a Senior Platform/Backend Engineer to design and scale the backend systems powering our AI-driven marketing platform. You will shape distributed services, API design, and cloud infra for high availability and security.

This hybrid role requires 10+ years in backend or platform engineering, expertise in Python/Go/Java/Rust, and experience with Docker, Kubernetes and AWS/GCP/Azure. Collaboration with product and AI teams is essential.