Manager, Test Automation

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.

• Lead a test automation team in a globally distributed environment, setting clear priorities, delivery plans, and a sustainable operating rhythm.
• Design and evolve automation frameworks for mobile (iOS/Android), backend services, APIs, and data pipelines, with an emphasis on reliability, maintainability, and speed.
• Integrate automated test suites into CI/CD pipelines to provide fast, actionable feedback and reduce time-to-detect regressions.
• Establish automation coverage strategy (what to test where), quality gates, and release readiness criteria in partnership with Engineering and Product.
• Own test data, environments, and tooling required to support continuous releases across mobile and platform surfaces.
• Coach and develop engineers through code reviews, technical mentorship, and best-practice guidance for test design and automation patterns.
• Partner with teams building biosensor/CGM ingestion and analytics to validate data integrity and reliability through automated checks and monitoring.
• Support test-related compliance and audit readiness by producing clear, maintainable evidence from automated pipelines and structured test documentation.
• Champion shift-left quality practices by helping teams bake testability into design and development workflows.

• Bachelor’s degree in computer science, software engineering, or a related field, or equivalent practical experience.
• 10+ years in software quality, test automation, or software engineering, including 3+ years leading, managing, and developing engineers.
• Strong hands-on experience building and maintaining automated test frameworks and infrastructure (not just running manual test teams), with the ability to guide architecture and standards.
• Experience with mobile automation (iOS and/or Android) and testing consumer-facing applications at scale.
• Experience with API and service-level testing, including contract testing and integration testing patterns.
• Hands on experience building scalable automation frameworks (e.g., PyTest, Playwright, Jest, REST Assured)
• Solid understanding of SDLC, QA methodologies, and compliance requirements such as HIPAA and GDPR.
• Experience improving test stability and developer trust (e.g., reducing flakiness, optimizing runtimes, hardening test environments).
• Ability to create automation roadmap, prioritize testing effort, and deliver outcomes through clear communication.
• Working knowledge of regulated quality practices and documentation expectations (e.g., IEC 62304, ISO 13485, 21 CFR Part 820/11) or strong willingness to learn.
• Strong communication and cross-functional collaboration skills, with the ability to align engineering teams and stakeholders on pragmatic quality goals.

• Experience supporting distributed teams across multiple time zones, with effective remote leadership and collaboration habits.
• Demonstrated ability to manage stakeholders and drive alignment on quality gates, release readiness, and engineering productivity improvements.
• Background validating data-intensive platforms (IoT, sensor data pipelines, streaming/real-time processing) using automated checks and monitoring.
• Experience with AI/ML system testing concepts (model validation, drift detection, and testing for probabilistic outputs).
• Experience with CGM, bio-wearable, or medical device software quality, particularly where hardware and software quality intersect.
• Experience supporting Regulatory Affairs/Quality Assurance teams during audits by producing clear, traceable evidence from automated pipelines.
• Background in non-functional testing (performance/reliability) tools such as Locust, JMeter, Gatling, or k6.