Senior Architect, Cloud Platform

Abbott (abbottcareers2 board); United States; On-site; USD 170,000 - 230,000; Full time

Job summary

Abbott is seeking a Senior Software Architect for Lingo's Cloud Platform based in Alameda, CA. You will own the architecture of the SaaS platform, integrating biosensor data, analytics, and secure APIs to deliver scalable, reliable services.

You will define architectural direction, review designs, mentor engineers, and collaborate with data, mobile, and AI teams to support growth while maintaining safety and compliance standards.

Qualifications

• Bachelor’s degree in computer science, Software Engineering, or a related technical discipline.
• 10+ years of software engineering experience, including 5+ years in architect/lead roles 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.

Responsibilities

• Own 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 used by engineering teams.
• Lead architecture and design reviews, document key decisions, and manage technical debt and trade-offs.
• Assess the current platform, identify scalability and cost risks, and plan evolutions as user base grows.
• Architect services connecting iOS/Android apps to the cloud, including data sync and secure uploads.
• Design high-throughput ingestion pipelines for biosensor data and derived insights.
• Define data models, retention, and lifecycle policies balancing performance and privacy.
• Design secure, performant APIs with authentication, authorization, and rate limiting.

Skills

Architectural leadership

Cloud platforms

Distributed systems

API design

Mentoring

Education

Bachelor's degree in Computer Science or related field

Job description

Job Description

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.

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.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• An excellent retirement savings plan with a high employer contribution.
• Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.
• 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 d