Principal Engineer defining technical direction and architecture for 1Password's core product experiences across clients, distributed services, data platforms, and infrastructure. Requires deep expertise in large-scale distributed systems, AI integration, security/privacy by design, and driving organization-wide technical standards.
Salary not listed
Remote7+ YOEFullstack Engineering
About the role
Responsibilities
Define architecture and technical direction for core product capabilities spanning clients, distributed services, data platforms, and shared infrastructure.
Establish engineering standards and reusable architectural patterns for scalable, maintainable, and resilient product systems across Product Engineering.
Drive long-term technical strategy across critical product areas, balancing immediate delivery needs with scalability, operational excellence, and platform sustainability.
Partner closely with Product, Design, Security, Privacy, Infrastructure, and Data teams to ensure technical decisions support both customer outcomes and long-term operational durability.
Guide how AI-powered capabilities are integrated into customer-facing product experiences, ensuring systems are reliable, observable, operationally safe, and aligned with customer trust expectations.
Define engineering expectations for AI-enabled product systems, including evaluation frameworks, rollout safety, telemetry, fallback behavior, auditability, and operational controls.
Establish shared platform capabilities and infrastructure patterns that allow teams to build product features consistently across clients, services, APIs, and AI-assisted workflows.
Influence and drive key architectural decisions around distributed systems design, event-driven architectures, synchronization models, scalability, performance, reliability, extensibility, and platform interoperability.
Help teams navigate difficult technical tradeoffs, unblock large cross-functional initiatives, and reduce systemic engineering complexity across the organization.
Raise the operational bar for production systems.
Requirements
Designed and operated large-scale distributed systems where reliability, scalability, maintainability, and operational excellence matter.
Deep experience driving architecture and technical direction across multiple teams, organizations, or product domains.
Strong systems-thinking instincts and can reason effectively about platform boundaries, distributed systems constraints, developer ergonomics, and long-term technical sustainability.
Experience building customer-facing product systems across clients, APIs, distributed services, cloud infrastructure, and data platforms.
Experience building or scaling event-driven systems, microservices architectures, or shared platform infrastructure in production environments.
Practical experience integrating AI or ML capabilities into production applications and understand the engineering tradeoffs involved in introducing AI into trust-sensitive product experiences.
Strong instincts for privacy-preserving and security-conscious system design, including thoughtful handling of telemetry, user data, permissions, and auditability.
Effective at driving alignment across teams with different incentives, priorities, and technical perspectives.
Communicate clearly with engineers, executives, and cross-functional partners, and can explain complex technical tradeoffs in practical terms.
Comfortable operating in ambiguity and helping organizations make durable technical decisions before every variable is known.
Nice-to-Haves
Experience in identity, authentication, authorization, secrets management, enterprise security, or trust-oriented product domains.
Experience building large-scale event-driven or multi-region distributed systems in cloud environments.
Experience building cross-platform applications or shared platform architectures at scale.
Experience with developer platforms, internal engineering frameworks, CI/CD systems, or large-scale infrastructure modernization initiatives.
Experience integrating LLMs or AI-assisted workflows into customer-facing SaaS applications.
Experience with endpoint trust, browser or extension security, enterprise administration workflows, or device posture systems.
Experience mentoring engineers and raising the engineering bar across organizations through technical leadership and operational excellence.
Skills
Distributed SystemsMicroservicesEvent-Driven SystemsAi/Ml IntegrationCloud InfrastructureData PlatformsSecurity DesignPrivacy-Preserving SystemsSystem ArchitectureLLMsCI/CDCross-Platform Development
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