Staff Software Engineer (AI Platform, Backend & Distributed Systems)

Quick Facts

• Role: Member of Technical Staff (MTS) / Staff Engineer
• Focus: Backend architecture, reliability, and distributed execution for an AI agent improvement platform
• Emphasis: Multi-tenant systems for enterprise customers, scalability, and platform evolution

Description

Own the architecture, reliability, and scalable evolution of AI agent improvement product offerings. You will design and operate multi-tenant, distributed backend systems across infrastructure, runtimes, and deployment models, translating customer needs into durable platform capabilities. Partner with founders and research leadership to shape technical strategy and roadmap tradeoffs.

Responsibilities

• Own platform architecture, reliability, and scalability
• Design and operate distributed multi-tenant backend systems for enterprise customers
• Make platform-level decisions across infrastructure, runtimes, deployment models, and developer experience
• Turn ambiguous customer requirements into clear engineering priorities
• Establish engineering standards and best practices as the team scales
• Mentor and hire engineers as the organization grows

Requirements

• 7–10+ years building backend systems, platforms, or cloud services
• Strong distributed systems and cloud-native infrastructure experience
• Hands-on Python experience (primary language)
• Hands-on containers and orchestration experience (Docker, Kubernetes)
• Experience with AWS, GCP, or Azure
• Experience building/operating B2B SaaS at scale with multitenancy and reliability requirements
• Comfortable working directly with B2B customers, handling escalations and ambiguity
• Strong communication and technical judgment

Benefits

• Base salary range: $200,000–$400,000 per year in California (depending on experience, skills, and qualifications)
• Equity, benefits, and bonuses eligibility
• Reasonable accommodations available for candidates with disabilities during the application and hiring process