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.
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 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.
Preferred Qualifications
- Experience building or integrating LLM-powered features in production — including prompt engineering, RAG pipelines, or agentic workflow design.
- Hands-on experience with Elasticsearch and real-time messaging systems (Kafka, SQS, or equivalent).
- Experience with Datadog or equivalent observability platforms at enterprise scale.
- Experience with feature flags and experimentation frameworks in high-scale SaaS environments.
- Familiarity with multi-jurisdiction labor compliance requirements or other highly regulated enterprise domains.
- Background in Workforce Management, HR Tech, or complex scheduling domains.
- Experience in high-growth B2B enterprise SaaS environments.
COMPENSATION & BENEFITS
Salary Range: Base Salary Range: $250,000 - $350,000 + Stock Equity
At Legion, we offer competitive compensation and benefits packages to all employees. As a fully remote employer, pay for positions is determined using local, national, and industry-specific survey data.
Our posted salary range is done so in good faith based on national data and may be refined for a candidate's region/town/cost of living. We strive to make competitive offers that allow employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay.
Benefits include, but are not limited to:
- $0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment
- 401k plan
- Discretionary Paid Time Off and Paid Holidays
- Parental Leave
- Equity
- Monthly Wellness Reimbursement
- Monthly Lunch on Legion
