Staff Software Architect: AI-Driven Platform Leadership

Storable; Seattle (WA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

401(k) match

HSA contribution

Flexible vacation

Parental leave

Job summary

Storable, Bellevue-based, seeks Staff Engineer to own the technical direction for major platforms across multiple teams. You will design scalable distributed systems, drive architecture evolution, and work across Product, Engineering, Sales, Marketing, and Customer Success to deliver reliable, AI-enabled capabilities.

You will mentor senior engineers, write code, review designs, and help the organization adopt AI-native practices for improved customer outcomes and engineering productivity.

Qualifications

• 10+ years of software development experience with distributed systems and APIs.
• Experience leading design and delivery of complex systems across multiple teams.
• Experience operating highly available production systems at scale.

Responsibilities

• Own the technical direction for a major platform or cross-team domain.
• Design distributed systems, services, and data contracts for scalability and reliability.
• Lead architecture evolution across teams and plan migrations.
• Remain hands-on: write code, review designs, prototype solutions.
• Improve observability, reliability, and incident recovery practices.
• Collaborate with Product to prioritize technical investments for customer impact.
• Design AI-enabled capabilities and scalable workflows.
• Mentor engineers and raise the bar for technical judgment.

Skills

Distributed systems

Cross-team leadership

APIs & SOA

Hands-on coding

AI/GenAI fluency

Job description

Storable, Bellevue-based, seeks Staff Engineer to own the technical direction for major platforms across multiple teams. You will design scalable distributed systems, drive architecture evolution, and work across Product, Engineering, Sales, Marketing, and Customer Success to deliver reliable, AI-enabled capabilities.

You will mentor senior engineers, write code, review designs, and help the organization adopt AI-native practices for improved customer outcomes and engineering productivity.