SaaS Platform Architect

Saas Platform Architect Remote, United States About Legion Technologies Legion Technologies is on a mission to turn hourly jobs into good jobs through intelligent automation and AI. Our AI-powered Workforce Management platform helps enterprises optimize labor efficiency while empowering hourly employees with flexibility, fairness, and control over their schedules. Our multi-tenant SaaS platform serves large enterprise customers globally, supporting complex scheduling, forecasting, compliance, and analytics workloads across web and mobile applications. We operate at scale — high data volumes, strict availability requirements, and enterprise-grade security standards. The architecture decisions you make here directly affect the scheduling fairness and financial stability of millions of hourly workers worldwide. Role Overview We are seeking a Saas Platform Architect to define and lead the architectural evolution of the Legion WFM Platform. You will architect the platform that our enterprise customers run on: designing and building the core systems. This is a senior, hands-on technical leadership role responsible for shaping our multi-tenant cloud architecture to ensure scalability, resilience, security, and performance at enterprise scale. You will own architectural direction across backend systems, APIs, data infrastructure, and cloud-native services while partnering closely with engineering, product, and leadership teams. While this role requires cloud fluency, it is fundamentally a software architecture role — you'll be designing and building the product platform in Java/Spring Boot, not managing infrastructure or running operations. What You’ll Do Platform Architecture Strategy Define and evolve the architecture of Legion's multi-tenant SaaS platform. Lead system design for highly scalable, fault-tolerant, distributed services. Establish architectural patterns, standards, and long-term technical roadmaps. Drive decisions around service decomposition, API strategy, and extensibility. Cloud Infrastructure Leadership Architect and optimize cloud-native systems on AWS. Design for high availability, performance, security, and cost efficiency. Own containerization and orchestration strategy (Docker, Kubernetes) in production. Champion observability, reliability engineering, CI/CD, and infrastructure as code. Enterprise SaaS Excellence Ensure secure enterprise-grade data protection at scale. Lead performance tuning, scalability modeling, and database optimization. Design APIs and integration patterns for enterprise customers and partners. Support compliance and audit requirements common in enterprise environments. Generative AI Engineering Enablement Actively use Generative AI coding tools (GitHub Copilot, Cursor, Claude) as a standard part of your development and architectural workflow — demonstrated prior use is required. Establish engineering-wide best practices for AI-assisted development, code review, and architectural validation. Support the design and development of AI-native product capabilities. Evaluate and integrate emerging AI/ML frameworks and LLM orchestration patterns (RAG, agentic workflows) into the core platform. Drive measurable improvements in AI SDLC practices and engineering velocity through intelligent automation Technical Leadership Lead design reviews and mentor senior engineers and principals. Serve as the escalation point for complex production or architectural challenges. Partner cross-functionally with Product, Data, QA, and DevOps. Contribute hands-on to critical platform components, with a primary emphasis on architecture and technical direction. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience. 10+ years architecting multi-tenant, cloud-native SaaS platforms serving enterprise customers (building core product systems, not customer implementations). Demonstrated active use of Generative AI coding t ... (truncated, view full listing at source)