Senior Architect, Cloud Platform

The Opportunity

This Senior Architect, Cloud Platform position can work out of Alameda, CA location. As Senior Software Architect for Lingo's Cloud Platform, you will own the architecture of the SaaS platform at the heart of the Lingo experience. This platform connects with Lingo's mobile applications to receive biosensor and user data, stores it securely at scale, and exposes the APIs and services that turn that data into personalized insights for millions of consumers. You will also define how the platform connects to AI services, designing the interfaces, data flows, and safeguards that let Lingo bring machine learning and generative AI capabilities into its products responsibly and reliably. This is a hands-on, senior individual contributor role. You will set architecture direction, lead design reviews, build proofs of concept, and mentor engineers, working closely with engineering leaders, product managers, mobile, data, and AI teams to make the platform secure, scalable, and ready for what comes next.

What You'll Work On

• Own the end-to-end architecture of Lingo's cloud SaaS platform and maintain a clear architecture vision and roadmap aligned with product and business priorities.
• Define architecture principles, reference designs, and standards for services, APIs, data, and infrastructure that engineering teams use to build consistently.
• Lead architecture and design reviews, document key decisions (e.g., architecture decision records), and keep technical debt and trade-offs visible and managed.
• Assess the current platform, identify scalability, reliability, and cost risks, and drive a pragmatic plan to evolve it as the user base and product scope grow.
• Architect the services that connect Lingo's iOS and Android applications to the cloud, including device data sync, offline handling, and efficient, secure data upload.
• Design high-throughput ingestion pipelines for continuous biosensor and user-generated data, ensuring data is accurate, complete, and processed in a timely way.
• Define backend-for-frontend patterns, API contracts, and versioning strategies that let mobile and cloud teams evolve independently without breaking users.
• Design the data storage architecture for time-series biosensor data, user profiles, and derived insights, selecting the right mix of relational, NoSQL, and analytical stores.
• Define data models, retention, partitioning, and lifecycle policies that balance performance, cost, and privacy obligations.
• Architect secure, performant APIs that power in-app experiences, internal services, and platform capabilities, with clear standards for authentication, authorization, and rate limiting.
• Partner with Data Engineering to ensure clean data flows into analytics and data platforms with appropriate lineage and governance.

Qualifications

• Bachelor's degree in computer science, Software Engineering, or a related technical discipline.
• 10+ years of experience in software engineering, including 5+ years in an architect, principal, or technical lead role for large-scale cloud or SaaS platforms.
• Proven experience architecting cloud-native backends that serve mobile applications at consumer scale.
• Deep expertise in distributed systems, microservices, event-driven architectures, and API design (REST, GraphQL, or gRPC).
• Strong experience with Azure cloud services (e.g., App Service, AKS, Azure Functions, Cosmos DB, Azure SQL, Event Hubs, API Management) or equivalent at production scale.
• Experience designing data storage and processing for high-volume or time-series data.
• Experience integrating ML models or AI services into production systems, including serving, monitoring, and reliability considerations.
• Experience designing systems that handle sensitive data under HIPAA, PHI, GDPR, or similar privacy frameworks.
• Hands-on ability to prototype, review code, and engage deeply in technical detail, with excellent written and verbal communication skills.

Preferred Experience

• Experience building partner ecosystems in digital health, wearables, IoT, fitness, or consumer health technology.
• Familiarity with health data standards and platforms such as FHIR, HL7, Apple HealthKit, and Google Health Connect.
• Experience with consent management platforms and privacy-by-design practices.
• Experience with event streaming technologies (e.g., Kafka, Azure Event Hubs) and API management tooling.
• Background in data infrastructure including SQL, NoSQL, Data Lakes, and Blob Storage in a cloud-native context.