Platform Engineer, Security; Senior

Platform Engineer, Security (Senior/Staff)

San Francisco or New York

About Pallet

Pallet is building AI Agents to transform logistics — a $12 trillion global industry. We've raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we've achieved 700% revenue growth and are just getting started.

Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down — from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time, and integrate directly with customer systems.

As logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we're positioned to build the next $10B company in logistics.

Join us and work alongside leaders from Google, Door Dash, YC, and more to shape the future of logistics tech.

$195,000 - $265,000 Full-time / Onsite (5 days/week)

About The Role

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 Door Dash, and scaled financial tooling used by thousands of businesses ll team. High ownership. Large surface area.

What You'll Do

• 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

Who You Are

• 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

Our Tech Stack

• Database:
  PostgreSQL
• Backend:
  Node.js + Type Script, Encore for server-side development and managed Dev Ops, hosted on GCP
• LLMs:
  OpenAI, Anthropic, Google (foundation models), Browserbase (browser automation)
• Frontend:
  React + Type Script, hosted on Vercel

Interview Process

Compensation

The estimated salary range for this role is $195,000 – $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience,…