Senior Architect, Cloud Platform

United States - California - Alamedasenior

ArchitectConstruction & Real Estate

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Quick Summary

Requirements Summary

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,

Technical Tools

ArchitectConstruction & Real Estate

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

Job Description

At Lingo, we’re building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to help people live fuller, longer, and healthier lives. Our systems ingest millions of sensor readings daily, powering experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms.

What We Offer

~2 min read

✓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.

Requirements

~1 min read

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.