Associate Director, Test Engineering

Abbott

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Quick summary

Work type
On-site
Location
Alameda, CA
Salary
$148,700–$297,300 / yr
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k
This role $223k
$119k $316k
below market most similar roles pay here above market

This role pays more than 73% of similar roles. Most pay $138,500–$231,737 — the blue band above. At the midpoint, this role pays about $223k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Abbott

Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices

Abbott currently has 193 open roles on FindRole.

Listed pay typically runs $99,300–$198,700 across 123 roles with salary data.

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At a glance

TL;DR · Associate Director, Test Engineering

The Associate Director, Test Engineering will join the Lingo team to build and lead a globally distributed software test engineering function across the U.S., Spain, and India. This role involves architecting a unified quality engineering culture, defining career paths, and overseeing staffing, budgeting, and tooling for a diverse global team. You will own the end-to-end software testing strategy for mobile applications, CGM and biosensor data pipelines, AI/ML models, and backend platform services. Key responsibilities include establishing CI/CD integration for automated test suites and ensuring compliance with IEC 62304, ISO 13485, 21 CFR Part 820, and 21 CFR Part 11. You will utilize tools like Appium, XCTest, Espresso, REST Assured, Postman, Pact, Locust, JMeter, Gatling, and k6 to ensure data integrity for a consumer health platform.

What you'll do

  • Architect and scale a distributed software test engineering team across the U.S., Spain, and India.
  • Own the end-to-end software testing strategy for mobile apps, data pipelines, and AI/ML models.
  • Lead verification strategy for biosensor and CGM data integrity to ensure accurate and auditable results.
  • Build and maintain testing infrastructure to support continuous, high-frequency releases across mobile and platform surfaces.
  • Establish standards for CI/CD integration of automated test suites to provide fast and actionable quality signals.
  • Serve as the primary engineering owner for test-related compliance activities, including audit readiness and regulatory evidence.
  • Translate regulatory requirements into practical engineering standards for the global team to implement consistently.

What we're looking for

  • Bachelor’s degree in software engineering or a related field, or equivalent practical experience.
  • Minimum 15 years in software or test engineering.
  • Minimum 5+ years of experience leading and scaling engineering managers and global quality teams.
  • Demonstrated experience building quality engineering functions, including hiring, org design, tooling strategy, and culture development.
  • Hands-on background in mobile quality engineering for iOS and/or Android consumer-facing applications at scale.
  • Experience with quality strategy for data-intensive platforms, including IoT, sensor data pipelines, or real-time data processing systems.
  • Proficiency with modern automation frameworks for mobile, API, and pipeline testing.
  • Experience owning quality compliance in regulated environments with knowledge of IEC 62304, ISO 13485, 21 CFR Part 820, and related standards.
  • Experience scaling engineering teams across US, European, and Asian geographies (preferred).
  • Background in AI/ML system testing, including model validation and drift detection (preferred).
  • Experience with CGM, bio-wearable, or medical device software quality (preferred).
  • Previous experience supporting Regulatory Affairs/Quality Assurance teams during FDA or CE mark audits (preferred).
  • Background in non-functional and performance testing tools for high-throughput consumer data platforms (preferred).

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