3 months ago
Remote, United StatesStaff+
Base Salary
$300k - $385k/yr
Responsibilities
- Serve as Legion’s senior-most hands-on technical authority for complex architecture, system design, and platform evolution.
- Dive into code, design documents, production incidents, performance bottlenecks, and implementation tradeoffs to guide technical direction.
- Lead 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 to unblock teams.
- Own the long-term architecture for the AI-driven Workforce Management platform across application services, data infrastructure, ML systems, APIs, integrations, developer platforms, and enterprise operations.
- Establish engineering-wide standards for system design, scalability, performance, reliability, extensibility, observability, security, and maintainability.
- Architect production AI capabilities involving data pipelines, feature platforms, model training, model serving, retrieval, evaluation, monitoring, feedback loops, and continuous improvement.
- Drive architecture for large-scale multi-tenant SaaS systems, distributed data processing, real-time systems, data governance, observability, incident analysis, and operational excellence.
- Create migration paths from current-state to target-state architecture while maintaining uptime, backward compatibility, customer trust, and delivery speed.
- Partner with Product, Data Science, Engineering, Security, Infrastructure, customers, partners, and vendors on technical strategy and architecture decisions.
- Mentor and elevate Staff Engineers, Principal Engineers, architects, and senior engineering leaders.
- Own the architectural approach to enterprise security, data governance, privacy, compliance, auditability, resilience, SOC 2, ISO 27001, data residency, access control, and tenant isolation.
Requirements
- 15+ years of experience building and scaling large-scale software systems.
- Prior experience as a Chief Architect, Distinguished Engineer, Principal Architect, very senior Principal Engineer, or equivalent senior technical leadership role.
- Demonstrated success designing and scaling mission-critical, multi-tenant SaaS platforms for enterprise customers.
- Deep hands-on experience with distributed systems, cloud-native architecture, data platforms, APIs, event-driven systems, platform engineering, and high-availability production environments.
- Experience making major architecture decisions for systems with high scale, high reliability requirements, complex domain logic, and long product lifecycles.
- Experience incrementally modernizing large production systems while maintaining uptime, backward compatibility, customer trust, and engineering velocity.
- Experience building or supporting AI, ML, optimization, decisioning, forecasting, or data-intensive products in production.
- Strong understanding of observability, incident response, performance engineering, reliability architecture, capacity planning, and operational excellence.
- Deep expertise in distributed systems, system design, cloud architecture, service-oriented or microservices architectures, APIs, event-driven systems, and large-scale data processing.
- Strong experience with AWS, GCP, or Azure.
- Experience with architecture reviews, design documents, code reviews, testing strategy, deployment architecture, observability, and production operations.
- Experience with Java, Kotlin, Go, Python, Scala, or similar modern backend languages.
- Ability to make major technical decisions with incomplete information and connect architecture decisions to customer outcomes, product differentiation, and company strategy.
- Preferred experience with millions of users or very large-scale enterprise operations, optimization engines, scheduling algorithms, forecasting systems, constraint solvers, real-time decision systems, AI-native capabilities, internal developer platforms, data platforms, ML pipelines, or large-scale analytics systems.
- Bachelor’s or master’s degree in Computer Science or a related technical field is preferred; PhD is a plus but not required.
Benefits
- Fully remote work arrangement in the US.
- Up to 15% travel for leadership collaboration, engineering offsites, strategic customer engagements, and other business-critical meetings.
- $0 monthly premium and flexible medical, dental, and vision plans effective on the first day of employment.
- 401(k) plan.
- Discretionary paid time off and paid holidays.
- Parental leave.
- Equity.
- Monthly wellness reimbursement.
- Monthly lunch on Legion.
Categories
About Legion
Legion Health is a pioneering high-quality telepsychiatry startup dedicated to transforming patient care through advanced technology. We leverage cutting-edge language models and robust data analytics to enhance our patient-provider interactions, improve access to mental health services covered by insurance, and streamline our clinical operations. Our mission is to integrate innovative AI solutions into every facet of world-class psychiatric care, ensuring providers and patients benefit from the most effective and efficient treatment strategies.