Legion Technologies

Legion Technologies

Chief Architect

Remote, USA · Exec

Sponsorship not specifiedDetected 1 day ago
PythonJavaGoKotlinScalaDistributed SystemsCode ReviewAWSGCPCloud PlatformsPlatform EngineeringMachine LearningData EngineeringData ScienceLLMsIncident ResponseComplianceDesign SystemsForecastingLeadershipCollaboration

About the role

  • This is not a strategy-only or advisory role.
  • They are pragmatic, decisive, opinionated, and comfortable making hard tradeoffs when simplicity, scalability, reliability, or customer trust require it.
  • This is an open role currently being filled on an interim basis by the CEO.

Responsibilities

  • Personally dive into code, design documents, production incidents, performance bottlenecks, and implementation tradeoffs to diagnose root causes and guide technical direction.
  • Lead the hardest technical decisions across AI systems, optimization engines, distributed systems, data architecture, reliability, scalability, security, and platform modernization.
  • Write prototypes, reference implementations, architecture decision records, technical specifications, and design patterns where needed to unblock teams and establish clear direction.
  • Challenge architectural drift, unnecessary complexity, weak abstractions, and short-term decisions that create long-term platform risk.
  • Partner directly with Staff, Principal, and senior engineering leaders in design reviews, code-level discussions, and implementation planning.
  • Define and own the long-term architecture for Legion's AI-driven Workforce Management platform across application services, data infrastructure, ML systems, optimization engines, APIs, integration architecture, developer platforms, and enterprise-scale operations.
  • Establish engineering-wide standards for system design, scalability, performance, reliability, extensibility, observability, security, and maintainability.
  • Create pragmatic migration paths from current-state architecture to target-state architecture while maintaining uptime, customer trust, backward compatibility, and delivery speed.
  • Ensure Legion's architecture supports enterprise configurability and extensibility without allowing uncontrolled customization or product fragmentation.
  • Make clear build-versus-buy decisions across LLMs, classical ML, optimization solvers, retrieval systems, evaluation frameworks, and internal AI platforms.

Requirements

  • Ability to influence without relying on hierarchy, while still being willing to make clear decisions when consensus is insufficient.
  • Required Skills and Qualifications
  • 15+ years of experience building and scaling large-scale software systems.
  • Deep hands-on experience with large-scale distributed systems, cloud-native architecture, data platforms, APIs, event-driven systems, platform engineering, and high-availability production environments.
  • Strong experience with cloud platforms such as AWS, GCP, or Azure.
  • Strong experience with modern engineering practices, including architecture reviews, design documents, code reviews, testing strategy, deployment architecture, observability, and production operations.
  • Experience with languages such as Java, Kotlin, Go, Python, Scala, or similar modern backend languages.
  • Support strategic customer, partner, and vendor architecture discussions where deep technical credibility is required.

Company info

  • Demonstrated success designing and scaling mission-critical, multi-tenant SaaS platforms for enterprise customers.
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