Security Platform Engineer

Pallet•San Francisco, NY

18h•Onsite

About The Position

Pallet is building AI infrastructure for logistics: systems that coordinate real warehouses, freight networks, and supply chains. We’re looking for a founding engineer to build the security and platform foundations of the company from the ground up. This is a hands-on software engineering role. You will write production code, design infrastructure, and establish the systems that make Pallet secure, reliable, and scalable. The decisions you make today will become the defaults the company operates on for years. Security at Pallet is not a separate function or compliance layer. It is a design constraint embedded directly into the systems we build. We want someone who naturally asks: What happens when this fails? Who should have access to this? How do we reduce the blast radius? Can we eliminate this problem entirely? And then builds the answer. You’ll work alongside engineers who trained production AI systems at Scale AI, built logistics infrastructure that powers millions of deliveries at DoorDash, and scaled financial tooling used by thousands of businesses at Rippling. Small team. High ownership. Large surface area.

Requirements

6+ years of software, backend, infrastructure, or platform engineering experience
Strong software engineering fundamentals and a track record of shipping production systems
Experience building security-sensitive systems, including authentication, authorization, secrets management, or infrastructure security
Strong understanding of cloud infrastructure, containers, networking, and distributed systems
Experience designing platforms, tooling, or abstractions that other engineers depend on
Comfortable moving from a blank document to a production deployment with minimal oversight
High ownership and strong engineering judgment
You write code every day and want to continue doing so

Nice To Haves

Experience at an early-stage startup where you helped define foundational technical decisions
Experience building multi-region or highly available systems
Experience supporting AI/ML infrastructure or model-serving platforms

Responsibilities

Build and maintain the core platform services that power Pallet’s AI systems and developer workflows
Design and implement authentication, authorization, secrets management, and access control systems
Build infrastructure that operates reliably across regions and environments with clear isolation boundaries and disaster recovery capabilities
Improve observability, monitoring, and operational tooling so engineers can confidently understand and debug production systems
Develop internal platforms and abstractions that allow product engineers to move quickly without compromising security or reliability
Partner with AI and product engineering teams to support model training, evaluation, and inference infrastructure
Identify systemic risks and eliminate entire categories of operational, security, and reliability problems
Own projects from architecture through production rollout