Senior Principal Engineer, Innovation Lab (Remote)

What you will do:

As our Senior Principal Engineer you will serve as the Enterprise Digital Technology Innovation Labs lead software engineer and technical authority. You will be responsible for translating business problems and emerging opportunities into working prototypes proofs of concept pilots and in some case even production ready solutions. You will be the senior/most technical resource within the Innovation Lab and will lead the technical delivery of multiple innovation initiatives across the enterprise. Additionally the focus will be on accelerating experimentation reducing time from idea to proof of value and helping transition successful solutions into broader delivery teams when appropriate.

• Providing technical leadership and architecture direction for Innovation Lab initiatives

• Designing building and reviewing full stack software solutions and AI enabled applications

• Rapidly prototyping new concepts and validating ideas with business stakeholders

• Establishing engineering standards development practices and technical governance for the lab

• Partnering across ED&T cybersecurity architecture data and business teams to accelerate innovation efforts

• Mentoring engineers and helping build the labs long-term technical capabilities

• Evaluating emerging technologies and determining their applicability to Stryker

What you need:

Required:

• A Bachelors degree is needed for this position.

• 10 years of progressive professional software engineering experience with a proven record of hands-on software delivery senior technical leadership and meaningful impact across complex software systems products platforms or enterprise technology environments.

• 8 years of senior technical leadership experienceas a Chief Engineer Principal Engineer Distinguished Engineer Senior Architect Software Director Startup CTO Founding Engineer or equivalent senior technical leader.

• 7 years of deep full-stack engineering experienceacross modern front-end back-end cloud API database integration and DevOps technologies. The candidate must have hands-on mastery of both front-end and back-end systems and be able to own features end-to-end review code make architecture decisions and set the engineering quality bar for the team.

• 5 years of experience architecting scalable secure cloud-native enterprise-grade systems including distributed systems data-intensive applications APIs integrations cloud services and modern software platforms.

• 3 years of recent applied AI machine learning or generative AI experience including hands-on experience building AI-enabled applications prototypes automations agents or internal tools.

Preferred:

• Strong hands-on experience with modern software technologies such as TypeScript JavaScript React Angular Vue Python Java Go Rust SQL NoSQL REST APIs GraphQL and event-driven architectures.

• Strong cloud-native and DevOps experience including AWS and/or Azure Docker Kubernetes serverless architectures microservices CI/CD automated testing observability infrastructure as code secure deployment practices and modern DevSecOps principles.

• Experience building AI-enabled solutions using large language models retrieval-augmented generation vector databases embeddings prompt engineering AI agents model evaluation workflow orchestration semantic search or AI-assisted development tools.

• Fluency with AI-native engineering practices including the effective use of tools such as GitHub Copilot Cursor or similar AI coding assistantsto accelerate software delivery while maintaining engineering discipline.

• Demonstrated ability to take ambiguous business problems from concept to working software quickly especially in prototype-driven startup-style innovation lab advanced engineering or rapid delivery environments.

• Strong understanding of cybersecurity privacy data governance identity and access management secure architecture responsible AI and enterprise software risk management.

• Experience integrating with enterprise systems internal data platforms APIs identity providers business applications and data sources while navigating access security privacy governance and compliance constraints.

• Experience in medical technology healthcare life sciences regulated software digital health sales enablement field service hospital operations or enterprise healthcare systems.

• Prior experience in medtech healthtech financial services aerospace defense or another regulated industrywhere security privacy quality auditability and compliance are critical.

• Familiarity with regulated software practices including quality management systems design controls risk management validation auditability traceability and healthcare data privacy.

• Experience building or leading innovation labs digital factories rapid prototyping teams advanced engineering groups startup studios internal product incubation teams or enterprise AI teams.

• Experience with enterprise platforms such as Salesforce SAP ServiceNow Microsoft 365 Power Platform Snowflake Databricks ERP systems CRM systems identity platforms data warehouses and business intelligence tools.

• Experience building software for sales representatives commercial teams internal operations customer support field service business unit leaders or enterprise IT organizations.

• Experience with product discovery design thinking lean experimentation customer research user experience design and prototype validation.

• Advanced degree in Computer Science Software Engineering Artificial Intelligence Data Science Biomedical Engineering or a related technical fieldpreferred.

United States of America Pay Ranges:

• USN: $155900 - $259700 USD Annual
• US5: $163700 - $272700 USD Annual
• US10: $171500 - $285700 USD Annual
• US15: $179300 - $298700 USD Annual
• US20: $187100 - $311600 USD Annual
• US30: $202700 - $337600 USD Annual