Software Engineering Excellence Consultant

Job Description

Software modernization at scale is a key strategic priority at Philips, driven from Philips Innovation Engineering and delivered in support of Business Units across Philips. As part of the Code Hub Prime modernization squad, you will help engineering teams improve software quality, engineering practices, and AI-augmented development adoption.

You will serve as a hands-on Software Engineering Excellence Consultant, combining deep technical expertise with the ability to influence and enable teams across multiple Business Units. Inspired by the emerging Forward Deployed Engineer model, you will embed with teams to understand engineering challenges first-hand, review code and engineering practices, assess software maturity, and help implement practical improvements that drive measurable engineering outcomes. Engagements can range from focused discovery assessments lasting a few weeks to year-long modernization and adoption programs, giving you exposure to a wide variety of engineering challenges and environments.

This is not a traditional consulting role. Success comes from working directly with engineers and codebases, building credibility through technical depth, and helping teams adopt modern software engineering, quality, DevOps, and AI-enabled development practices.

As a software craftsmanship assessment lead, you'll conduct comprehensive evaluations of engineering practices for Business Units using DORA metrics frameworks, code quality analysis, and hands-on codebase reviews. This includes assessing software engineering maturity, AI adoption effectiveness, and translating findings into actionable improvement plans aligned with engineering excellence goals and business needs.

As a code quality modernization specialist, you'll define quality standards, coach teams on implementation, and help establish best practices for measuring and improving software quality in an AI-augmented engineering environment.

Business Alignment & Engagement

• Define modernization scope and priorities with Business Unit stakeholders
• Align practice and automation improvements with product delivery goals and constraints
• Define measurable modernization outcomes co-designed with BU leadership
• Communicate engagement progress and impact to BU stakeholders
• Build trusted relationships with Business Unit stakeholders and influence engineering practice improvements across multiple product lines without formal authority
• Work directly with engineering teams and codebases to validate findings, demonstrate improvements, and support adoption of engineering excellence practices
• Embed with Business Units as a trusted technical advisor, partnering directly with engineering teams to identify opportunities, validate findings, and accelerate adoption of software engineering and AI-enabled development best practices

Software Craftsmanship Assessment

• Conduct comprehensive software craftsmanship and engineering practices assessments for Business Units
• Assess code quality maturity, test automation discipline, code review rigor, and technical debt management
• Evaluate software engineering practices including clean code, refactoring discipline, design patterns, and SOLID principles
• Co-design improvement plans with BU teams and Prime squad members focused on engineering excellence
• Establish baseline metrics using engineering telemetry such as Dev Lake and code quality tools, and validate outcomes after improvements
• Document assessment patterns, best practices, and lessons learned for reuse across engagements

Code Quality Modernization & Standards Definition

• Define code quality standards and quality gate thresholds, including SonarQube quality profiles, CodeScene rules, and complexity limits
• Establish quality baselines and continuous improvement tracking mechanisms through metrics dashboards
• Guide technical debt reduction strategies using behavioral code analysis such as CodeScene

AI-Augmented Software Engineering Practices

• Assess AI-augmented development practices maturity across BU teams, including GitHub Copilot and AI code review
• Coach teams on responsible AI-assisted coding for healthcare software development in regulated environments
• Evaluate AI productivity impact and alignment with software craftsmanship standards
• Support Business Units in balancing AI efficiency gains with code quality, maintainability, and regulatory compliance

Knowledge Transfer

• Provide technical mentoring, hands-on training, and pair programming with BU DevOps engineers to ensure sustained improvements post-engagement
• Document delivered patterns, measure outcomes against improvement plan objectives, and conduct BU handoffs

You are the right fit if you have:

• 7+ years of software development or engineering experience with a strong focus on software craftsmanship, code quality, and engineering practices
• Demonstrated ability to influence senior stakeholders, build trusted relationships, and drive adoption of engineering excellence practices across diverse organizations without direct reporting authority
• Proficiency in at least one modern programming language such as TypeScript, Python, Java, or C#, and understanding of software design principles
• Deep expertise in code quality tools and practices including SonarQube, CodeScene, static analysis, code review, and refactoring
• Demonstrated thought leadership on software craftsmanship practices such as clean code, TDD, BDD, and design patterns
• Strong understanding of quality gates, technical debt management, and software maintainability principles
• Experience with AI-augmented development tools and practices such as GitHub Copilot and AI code review is a plus
• Strong consulting, influencing, and relationship-building skills, with the ability to drive change across multiple Business Units and product lines without formal authority
• Experience facilitating engineering transformations, coaching technical teams, and translating assessment findings into structured and actionable improvement roadmaps
• Experience conducting technical assessments or maturity evaluations is a plus
• Experience with Dev Lake, Apache DevLake, or engineering metrics platforms is a plus
• Understanding of medical device software development lifecycle and regulated software engineering is a plus
• Contributions to InnerSource or Open Source projects are a plus

How we work together

We believe that we are better together than apart. This is an office-based role and this means working in-person at least 3 days per week.

We are a health technology company.