Platform Engineer, Security (Senior/Staff)
Pallet · San Francisco, CA · 3 mo ago
On-siteEngineering$195k–$265k/yrFull-time
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.
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
Requirements
You will 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.
Qualifications
- 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
Skills
- Write code every day and want to continue doing so
- Nice to have: 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
Benefits
- Health, Vision, and Dental benefits
- Flexible PTO
- Life Insurance and Accidental Insurance
- Short-Term Disability Coverage
- Generous salary and equity for all staff
- 401k option; helping you save for the future
- Yearly learning and development stipend
- Remote office home stipend to get you comfy in your space
- Daily catered lunches provided
- Monthly happy hours
- Annual Company Offsites; our last one was in Palm Springs CA
Pay
$195,000 - $265,000 Full-time / Onsite (5 days/week)
Schedule
Full-time / Onsite (5 days/week)