Senior Staff Platform Engineer, AI Infra & Scale

Front Door Defense

Northern (KY)

Hybrid

USD 173,000 - 324,000

Full time

14 days+
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Benefits offered by this job

Career defining work
Competitive compensation
Comprehensive benefits
Flexible work
Learning & growth

Job summary

SandboxAQ is seeking a Senior Staff Software Engineer, Platform, to shape scale-ready architecture for AI workloads. You will lead architectural strategy for the platform, design resilient distributed services, and mentor a team of engineers to elevate engineering excellence.

The role emphasizes collaboration with product, research, and security, delivering reliable cloud-native infrastructure, and accelerating developer velocity across our LQMs and AI systems.

Qualifications

  • 10+ years of professional software development experience, designing and scaling distributed systems.
  • 5+ years leading high-impact engineering teams, mentoring engineers and shaping strategy.
  • Expertise in cloud-native infrastructure (GCP preferred) Kubernetes at scale.
  • Experience with GPU/ML infrastructure for large training and inference workloads.
  • Ability to break down complex problems into incremental architectural designs.

Responsibilities

  • Lead Architectural Strategy: define long-term vision for infrastructure supporting AI workloads.
  • Mentor and Develop Talent: guide junior/mid engineers, raise code quality and standards.
  • Systemic Problem Solving: diagnose bottlenecks and translate into scalable requirements.
  • Drive Platform Excellence: build foundational services to improve developer experience.
  • Collaborate Cross-Functionally: work with product, research and security teams.

Skills

10+ years of software development
Technical leadership
Cloud-native infrastructure
GPU/ML infrastructure
System decomposition

Job description

SandboxAQ is seeking a Senior Staff Software Engineer, Platform, to shape scale-ready architecture for AI workloads. You will lead architectural strategy for the platform, design resilient distributed services, and mentor a team of engineers to elevate engineering excellence.

The role emphasizes collaboration with product, research, and security, delivering reliable cloud-native infrastructure, and accelerating developer velocity across our LQMs and AI systems.

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