Platform Engineer, Security (Senior/Staff)

Platform Engineer, Security (Senior/Staff)

San Francisco or New York

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, DoorDash, YC, and more to shape the future of logistics tech.

About the Opportunity

Pallet is building AI infrastructure for logistics: the kind of systems that coordinate real warehouses, real freight, real supply chains. We are at the stage where foundational decisions stick, and we are looking for a Platform Engineer with deep security instincts to help make them.

Security here is not a checklist or a compliance layer. It is a design constraint. You will be the person asking what happens when this fails, who can see what, and why we need this access at all. And you will have the engineering depth to answer those questions in code, not just in documentation. You will work with engineers who trained production AI systems at Scale AI, built logistics infrastructure that moves millions of deliveries at DoorDash, and scaled financial tooling to thousands of businesses at Rippling. Small team, big surface area. The things you build now will define how we operate at 10x the current scale.

What You'll Work On

• Security primitives and guardrails: auth, secrets management, network boundaries, access controls. Designed to be the path of least resistance, not a hurdle people route around.
• Infrastructure that operates across multiple regions and clouds, with real isolation and real failover. Not "we will figure that out later" resilience, but designed in from the start.
• Observability that makes production legible. When something breaks at 2am, the person on call should understand the system, not guess at it.
• The AI platform layer: training pipelines, inference infrastructure, evaluation systems for models that affect real-world logistics decisions. Getting this wrong has physical consequences.
• You will also inherit whatever you think needs fixing. Early team members here do not wait for scope to be handed to them.

What We're Looking For

• 6+ years in backend or platform engineering; you write a lot of code
• Practical security knowledge: auth systems, secrets, common vulnerability classes, blast radius thinking
• Experience designing abstractions or internal platforms, not just operating them
• Comfort owning projects from blank doc to production rollout
• A track record of eliminating whole categories of problems, not managing them
• Fluency in cloud infrastructure: containers, networking, multi-region tradeoffs
• Bonus: experience at early-stage or high-growth companies where you defined the defaults

Our Tech Stack

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

Interview Process

1. Intro Chat with Head of Talent (30 mins)
2. Technical Screen + Meet and Greet with an Engineer (60 mins)
3. Executive Chat - Nilkanth, CTO (30-45 mins)
4. Final Interview, visit our Fidi office, and deep dive into technical and behavioral interviews (~3.5 hours)

Location

• San Francisco: Since we're a small team building 0-1 products, we prefer candidates to be comfortable working in an in-office environment in San Francisco. We typically come into the office 5 days a week. Relocation assistance can be provided for interested candidates.
• New York: Satellite Office with ~8 Pallet employees across engineering, operations, and success - we are seeking to hire and grow out the team more here. The team typically comes into the office 4-5 days a week. Relocation assistance is not provided for our New York office.

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, qualifications, and location.

Top-Tier 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

Commuter benefits

Uber ride stipend if you ever have to work late in the office

Office home stipend to get you comfy in your space

Daily catered lunches provided by Sharebite (every meal you order, one meal gets donated)

Monthly happy hours

Annual Company Offsites; this year we'll be headed to Palm Springs

Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.