A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
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 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.
Apply Now
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
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- The base pay for this position is
- $114,000.00 – $228,000.00
- In specific locations, the pay range may vary from the range posted.
JOB FAMILY
Product Development
DIVISION
LNGO Lingo
LOCATION
United States > Alameda : 2901 Harbor Bay Parkway
ADDITIONAL LOCATIONS
WORK SHIFT
Standard
TRAVEL
No
MEDICAL SURVEILLANCE
Not Applicable
SIGNIFICANT WORK ACTIVITIES
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
