PhilipsSoftware Development Engineer – Software Engineering Excellence Enablement
Job Title
Software Development Engineer – Software Engineering Excellence Enablement
Job Description
Software modernization at scale is a key strategic priority at Philips, driven from Philips Innovation Engineering and delivered in support of various Philips Business Units, recognized by our Chief Innovation Officer as critical to accelerating healthcare innovation. You will serve as the solutions engineer and craftsmanship assessment lead for the Code Hub Prime modernization squad, maintaining critical European timezone coverage for engagements within Europe and US.
As 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 means assessing software engineering maturity (clean code practices, test automation discipline, code review rigor, technical debt management), evaluating AI-augmented development adoption and effectiveness, then co-designing improvement plans aligned with engineering excellence goals and BU constraints.
As code quality modernization specialist for AI-augmented software engineering, you'll define quality standards and coach teams on implementation. Your work includes defining code quality gates and thresholds (SonarQube quality profiles, CodeScene behavioral analysis rules, security scanning configurations), and establishing best practices for measuring AI productivity impact while maintaining craftsmanship standards.
The engagement model will vary based on Philips Business Unit needs—from express discovery engagements to year-long rollouts ensuring practice and tool adoption across large teams. Your BU-led assessment and delivery work will be complemented with opportunities to develop your expertise through collaboration with India-based squad members, Craftsmanship Competence Leads, and the Code Hub Platform Engineers.
Your role:
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
Software Craftsmanship Assessment
Conduct comprehensive software craftsmanship and engineering practices assessments for Business Units
Assess code quality maturity, test automation discipline, code review rigor, technical debt management
Evaluate software engineering practices: clean code, refactoring discipline, design patterns, SOLID principles
Co-design improvement plans with BU teams and Prime squad members focused on engineering excellence
Establish baseline metrics using engineering telemetry (Dev Lake, 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 (SonarQube quality profiles, CodeScene rules, complexity limits)
Establish quality baselines and continuous improvement tracking mechanisms through metrics dashboards
Guide technical debt reduction strategies using behavioral code analysis (CodeScene)
AI-Augmented Software Engineering Practices
Assess AI-augmented development practices maturity across BU teams (GitHub Copilot, 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 BUs 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 strong focus on software craftsmanship, code quality, and engineering practices
Proficiency in at least one modern programming language (TypeScript, Python, Java, C#) and understanding of software design principles
Deep expertise in code quality tools and practices (SonarQube, CodeScene, static analysis, code review, refactoring)
Demonstrated thought leadership on software craftsmanship practices (e.g., clean code, TDD, BDD, design patterns)
Strong understanding of quality gates, technical debt management, and software maintainability principles
Experience with AI-augmented development tools and practices (GitHub Copilot, AI code review) (plus)
Strong collaboration and communication skills to work cross-functionally across Business Units and platform teams
Experience conducting technical assessments or maturity evaluations (plus)
Experience with Dev Lake, Apache DevLake, or engineering metrics platforms (plus)
Understanding of medical device software development lifecycle and regulated software engineering (plus)
Contributions to InnerSource or Open Source projects (plus)
How we work togetherWe 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.
About PhilipsWe are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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Discover our rich and exciting history.
Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
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