SaaS Platform Architect, Legion Technologies

• 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 tools in professional software development
• Deep expertise in Java, Spring Boot, Hibernate, MySQL, and RESTful API design
• Strong hands-on experience with AWS — including compute, storage, networking, and managed services at scale
• Demonstrated expertise in distributed systems, event-driven architectures, and large-scale data modeling
• Experience designing for high availability, fault tolerance, and performance under high-concurrency enterprise workloads
• Experience with containerization and orchestration (Docker, Kubernetes) in production environments
• Strong DevOps fluency: CI/CD pipelines, GitHub, observability, and infrastructure as code
• Excellent technical communication and cross-functional leadership skills

Desirable

• 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
• 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
• 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
• 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
• 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
• 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