Senior Full Stack Software Engineer

Dentsply Sirona is looking for an experienced Senior Full Stack Software Engineer to join our team as a Technical Lead and Product Owner for a high-performance, interactive, cloud-based, CAD/CAM applications and AI models development, integration and deployment. This individual owns features end to end: shaping requirements and design specifications as product owner, and architecting and building the frontend, backend, APIs, data layer and cloud deployment as tech lead. The role emphasizes fast product development, multi-agent AI-assisted engineering and the delivery of AI-enabled capabilities to production.

This is a hybrid position which requires working in the office 4 days per week.

Technical Implementation & Development

• Lead the design and architecture of full-stack systems (web front end, services/APIs, data layer and cloud infrastructure), ensuring scalability, security and reliability.
• Build and maintain shared frameworks, components, services and databases used across teams.
• Own CI/CD, observability, incident response and system resiliency for the services you deliver.
• Introduce and champion new technologies to improve development efficiency.

Product Ownership & Fast Delivery

• Act as product owner for the full-stack product area: maintain the backlog and roadmap, and write requirements, design specifications and acceptance criteria.
• Partner with UX, Clinical, Quality/Regulatory and Infrastructure teams to turn user needs into shippable increments.
• Drive fast product development: rapid prototypes, short feedback loops, feature flags and frequent, safe releases.
• Coordinate delivery across multiple epics and teams, managing scope, dependencies and risk.

AI-Enabled Engineering & Deployment

• Establish and champion multi-agent coding workflows across the stack (implementation, review, testing, documentation) with human oversight, guardrails and quality gates.
• Design, build and deploy AI-enabled features (e.g., LLM-based assistants, retrieval-augmented workflows, automation) including evaluation, monitoring, cost control, privacy and safety.
• Build the platform and pipelines that let teams deploy and operate AI components reliably in the cloud (containers, orchestration, model/service versioning, rollback).

Communication & Impact

• Present technical and product strategies to diverse stakeholder groups, and drive alignment on decisions across multiple teams.
• Mentor engineers across multiple teams as a technical coach and advisor; provide company-wide technical mentorship.
• Guide architectural decisions and technical direction.

Education:

• Bachelor's degree (and >10 years of work), Master's degree (and >8 years of work), or PhD (and > 5 years of work) in Computer Science, Software Engineering, or related fields (algorithmic, mathematical, or numerical background) with strong industry experience, or relevant experience.

Years and Type of Experience:

• 8+ years of engineering experience, including full-stack development of cloud-based web applications.
• Experience leading complex technical projects across teams.
• Experience with system architecture, API design and scalability.
• Experience as a product owner (or equivalent): backlog ownership, requirements and design specifications.
• Experience mentoring engineers across multiple teams.
• Experience with distributed systems and cloud-native deployments.
• Experience building and shipping AI-enabled features to production; experience with AI coding assistants or multi-agent workflows in daily development.
• Experience in medical device development is a plus.
• Track record of successful architecture decisions and fast, high-quality product delivery is a plus.

Key Skills, Knowledge & Capabilities:

• Expert-level technical strategy and system design skills.
• Proficient in front-end development (e.g., TypeScript, React or similar frameworks, modern web tooling; WebGL/WebGPU is advantageous).
• Proficient in back-end development and API design (e.g., Python, Node.js, Java, C#, Go or C++; REST/GraphQL/gRPC).
• Experienced with relational and NoSQL database design, data modeling and performance tuning.
• Proficient in CI/CD, containerization (Docker) and cloud computing (e.g., GCP, Kubernetes), including infrastructure as code and observability.
• Strong product ownership skills: requirements engineering, specification writing, prioritization and stakeholder management.
• Fast product development mindset: MVP thinking, rapid prototyping and data-informed iteration.
• Proficient in multi-agent and agentic coding workflows (task decomposition, context engineering, automated review and testing of AI-generated code).
• Experienced in AI development and deployment: LLM/ML integration, retrieval-augmented generation, evaluation, monitoring (MLOps/LLMOps), and cost and latency optimization.
• Working knowledge of application security and secure development practices.
• Deep understanding of scalability and performance optimization.
• Strong incident response and system reliability experience.
• Proven cross-functional leadership abilities.
• Good knowledge of English, both written and spoken. German language skills are advantageous.
• Familiarity with 3D computer graphics or CAD/CAM applications is advantageous.
• Experience with regulatory compliance is advantageous.
• Nice to have: experience applying an agentic SDLC end to end, from agent-assisted requirements and specifications through implementation, testing and release, integrated into CI/CD, with traceability and compliance of AI-generated artifacts in a regulated (e.g., medical device) context.
• Industry recognition and thought leadership is a plus.

The base salary and target annual incentive for this role located in Waltham, Massachusetts is between $183,700 - $205,700. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location.