Staff Platform Engineer – AI Security & Resilience

Moxfive; United States; Remote; USD 180,000 - 300,000; Full time

Job summary

MOXFIVE is seeking a technical leader to design and ship distributed systems for its AI investigation platform. You will balance speed and maintainability, lead design reviews, and articulate architectural choices to engineers and executives.

Core responsibilities include expanding agent capabilities, ensuring evaluation quality, evolving platform architecture, upholding API governance and observability, and collaborating with product management to translate case needs into technical specs.

Qualifications

• Distributed systems designed for production with scalable, fault-tolerant behavior.
• This role requires staff-level experience (Staff/Principal/Lead) in guiding architecture and delivery.
• Go or Python with strong runtime, concurrency, and memory management knowledge.
• AI/LLM engineering experience with production-grade tool-calling and evaluation harnesses.
• Data stores and vector search familiarity, including zero-downtime migrations.
• Ability to communicate architectural decisions to engineers and executives.

Responsibilities

• Extend agent capabilities by integrating new security data sources and optimizing context handling.
• Develop evaluations to validate correct, well-sourced findings and guide model and tool changes.
• Evolve service boundaries and resilience as capabilities expand.
• Uphold API governance, testing standards, and observability across services.
• Collaborate with product management to translate case needs into technical specs.

Skills

Distributed systems

Staff/Principal/Lead

Go or Python

AI/LLM engineering

API design

Data architecture

Data pipelines

Cloud architecture

Tools

Kubernetes

Terraform

CI/CD

Job description

MOXFIVE is seeking a technical leader to design and ship distributed systems for its AI investigation platform. You will balance speed and maintainability, lead design reviews, and articulate architectural choices to engineers and executives.

Core responsibilities include expanding agent capabilities, ensuring evaluation quality, evolving platform architecture, upholding API governance and observability, and collaborating with product management to translate case needs into technical specs.