Manager, Engineering Excellence & Quality Engineering

Summary of Responsibilities:

• Support and execute Fortrea's Engineering Excellence and Quality Engineering strategy, roadmap, standards, governance model, and operating framework.
• Build, lead, mentor, and develop high-performing Quality Engineering professionals while fostering technical growth, leadership development, succession planning, and continuous learning.
• Support enterprise engineering excellence standards including software craftsmanship, coding standards, architecture reviews, pull request quality, secure coding practices, technical debt management, release readiness, and engineering governance.
• Champion Shift Left Engineering by embedding quality, security, accessibility, performance, reliability, and compliance practices throughout the software development lifecycle.
• Drive adoption of AI-assisted Quality Engineering practices including intelligent test generation, autonomous testing, automated test maintenance, defect prediction, release risk analysis, AI-assisted code reviews, and engineering automation.
• Evaluate emerging AI technologies that improve engineering productivity, software quality, release confidence, developer experience, and customer satisfaction.
• Support enterprise standards for Responsible AI testing, validation, governance, and quality assurance for AI-enabled products and intelligent software solutions.
• Support testing practices across unit, integration, API, contract, UI, end-to-end, performance, resilience, security, accessibility, regression, and user acceptance testing.
• Partner with Platform Engineering and DevOps teams to embed automated quality gates, testing frameworks, compliance validation, security controls, and Quality as Code practices into CI/CD pipelines.
• Support quality, reliability, performance, observability, and production readiness practices that improve software delivery outcomes.
• Use engineering metrics, quality indicators, defect trends, test coverage, release quality, and operational performance data to identify improvement opportunities.
• Perform quality benchmarking, root cause analysis, trend analysis, defect prevention, engineering maturity assessments, and continuous improvement initiatives.
• Provide guidance to engineering teams and technical leaders on software craftsmanship, engineering excellence, testing strategy, AI-assisted engineering, and modern software development practices.
• Support engineering Communities of Practice (CoPs) that promote technical standards, knowledge sharing, innovation, mentoring, and continuous improvement.
• Partner with Product Engineering, Architecture, Platform Engineering, DevOps, Security, Infrastructure, and Product Management to improve engineering maturity.
• Support software validation and regulatory compliance activities for highly regulated healthcare and life sciences solutions.
• Continuously evaluate emerging engineering tools, AI platforms, automation technologies, testing frameworks, and software engineering practices that improve software delivery and engineering effectiveness.
• Support team capacity planning, resource planning, tooling needs, vendor coordination, and quality improvement initiatives.
• Foster a culture centered on ownership, software craftsmanship, quality, innovation, collaboration, accountability, continuous learning, and engineering excellence.
• Perform other duties as assigned.

Qualifications (Minimum Required):

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related discipline. Equivalent experience will be considered.
• Strong understanding of modern software engineering, Agile delivery, Engineering Excellence, DevOps, CI/CD, Platform Engineering, and Quality Engineering principles.
• Deep knowledge of enterprise test automation, software quality practices, engineering governance, software craftsmanship, and engineering maturity frameworks.
• Experience with automated testing, Quality as Code, engineering automation, Shift Left Engineering, and modern software delivery methodologies.
• Strong understanding of cloud-native architectures, distributed systems, performance engineering, observability, resilience engineering, and operational excellence.
• Strong leadership, communication, facilitation, stakeholder management, organizational development, and influencing skills.
• Demonstrated ability to influence engineering organizations and technical leaders without direct authority.
• Strong analytical and data-driven decision-making skills focused on continuous improvement and engineering effectiveness.

Experience (Minimum Required):

• 8+ years of progressive experience in Software Engineering, Quality Engineering, DevOps, Platform Engineering, Software Architecture, or related engineering disciplines.
• 3+ years leading Quality Engineering teams, Engineering Excellence programs, or engineering improvement initiatives.
• Demonstrated experience supporting Quality Engineering strategies, Engineering Excellence programs, or engineering improvement practices.
• Proven success implementing test automation across multiple products, platforms, or engineering teams.
• Experience implementing AI-assisted software engineering and intelligent testing capabilities that improve engineering productivity and software quality.
• Experience supporting engineering standards, governance processes, software craftsmanship practices, release readiness criteria, and engineering maturity models.
• Experience implementing DORA Metrics, engineering productivity scorecards, software quality KPIs, and continuous improvement programs.
• Experience supporting performance engineering, resilience testing, production quality monitoring, and operational excellence initiatives.
• Experience partnering with Product Engineering, Platform Engineering, DevOps, Architecture, Security, and Data & AI teams.
• Experience supporting software validation, regulatory compliance, or highly regulated software environments.
• Demonstrated success supporting improvement initiatives focused on Engineering Excellence, Quality Engineering, or software delivery modernization.
• Strong experience utilizing engineering metrics, operational analytics, and quality data to improve engineering effectiveness and business outcomes.

Preferred Qualifications Include:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or related discipline.
• Experience within healthcare, life sciences, clinical research, medical devices, or other highly regulated industries.
• Experience building Engineering Excellence organizations, Quality Engineering Centers of Excellence, or enterprise engineering transformation programs.
• Experience implementing AI-assisted software engineering using GitHub Copilot Enterprise, GitHub Models, Cursor, Claude Code, Windsurf, ChatGPT Enterprise, or similar developer productivity platforms.
• Experience implementing AI-powered Quality Engineering including intelligent test generation, autonomous testing, automated test maintenance, defect prediction, release risk analysis, AI-assisted code reviews, and engineering copilots.
• Experience validating AI-enabled software solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, conversational AI, machine learning systems, and intelligent automation platforms.
• Familiarity with Responsible AI principles, prompt engineering, AI governance, model evaluation, AI quality assurance, and AI security.
• Experience with modern testing technologies including Playwright, Cypress, Selenium, Appium, k6, JMeter, Pact, Testcontainers, and API testing frameworks.
• Experience with cloud-native architectures, Kubernetes, Platform Engineering, DevSecOps, GitHub Actions, Azure DevOps, CI/CD pipelines, and Infrastructure as Code.
• Experience implementing enterprise observability using OpenTelemetry, Datadog, Dynatrace, Grafana, Azure Monitor, Elastic, or similar platforms.
• Experience with Site Reliability Engineering (SRE), Chaos Engineering, resilience testing, operational excellence, and production quality engineering.
• Relevant certifications including ISTQB, CSQE, Azure, AWS, Kubernetes, SAFe, Agile, AI Engineering, or Software Architecture certifications.
• Demonstrated success building high-performing Engineering Excellence organizations, mentoring future technology leaders, and driving measurable improvements in software quality, engineering productivity, delivery performance, and customer outcomes.

Physical Demands / Work Environment:

Office/Home-Based:

Work Environment:

• Work is performed in an office environment with exposure to electrical office equipment.
• Occasional drives to site locations with occasional travel both domestic and international.

Physical Requirements:

• Frequently stationary for 6-8 hours per day.
• Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists.
• Occasional crouching, stooping, with frequent bending and twisting of upper body and neck.
• Ability to access and use a variety of computer software developed both in-house and off-the-shelf.
• Light to moderate lifting and carrying, or moving of objects, including luggage and laptop computer with a maximum lift of 15-20 lbs.
• Regular and consistent attendance.
• Varied hours may be required.

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