Software Engineering Architect (SaaS/AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineering Architect (SaaS/AI): Designing high-scale agentic systems and a reusable calculation engine for the Spiff ICM platform within Sales Cloud with an accent on AI-native infrastructure, multi-tenant scaling, and data integration. Focus on orchestrating agentic workflows, optimizing database performance for enterprise-scale transaction volumes, and implementing cell-based architecture for global residency.
Location: San Francisco, CA or Bellevue, WA
Company
is a global leader in CRM, with Spiff providing strategic Incentive Compensation Management (ICM) software for commissions automation.
What you will do
- Design high-scale agentic systems and AI-native infrastructure, including vector database scaling and token-efficient caching.
- Lead the design of a reusable calculation engine framework for complex ICM workflows at enterprise scale.
- Define API contract standards, versioning strategies, and performance optimization for sub-second response times.
- Partner with Data Cloud teams to design high-throughput data connectivity and advanced analytics architectures.
- Architect infrastructure management patterns, cell-based deployment strategies, and database scaling using sharding and partitioning.
- Own the long-term data architecture, roadmap, and customer migration strategies for the Spiff platform.
Requirements
- 10+ years of software engineering experience, with at least 3 years as a Software Engineering Architect for large-scale SaaS platforms.
- Demonstrated success architecting high-performance calculation engines or financial transaction platforms.
- Proven ability to design and implement cell-based or multi-tenant architectures with robust data isolation.
- Extensive experience with database design, optimization, and distributed system performance tuning.
- Strong background in API design and building developer-facing platform services.
- Must be based in or authorized to work in the USA
Nice to have
- Direct experience with architecture, Sales Cloud, Data Cloud, or Hyperforce.
- Expertise in Ruby on Rails and Elixir/Phoenix.
- Prior work on incentive compensation management (ICM) or billing systems.
- Experience with ML/AI model deployment and MLOps for production-grade systems.
Culture & Benefits
- Opportunity to work with cutting-edge agentic AI frameworks and RAG techniques.
- Direct impact on the technical strategy of a strategic part of Sales Cloud.
- Collaboration across multiple highly technical engineering teams in a global corporate environment.
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