Senior Software Engineer

Kinomatic is seeking a highly capable Senior Software Engineer to help build the next generation of our cloud-based surgical planning, visualization, and patient recovery platform. This is a senior individual contributor role for an engineer who combines strong full-stack technical depth with sound judgment, ownership, and technical leadership.

You will work across frontend, backend, cloud infrastructure, data, interactive 3D applications, and AI-enabled workflows. You will contribute directly to production software while also helping shape architecture, technical standards, development practices, and engineering decisions across the team.

This role is designed for an engineer who can grow into a trusted technical lead for major areas of the platform. You will work closely with the Director of Software Engineering, other technical leaders, Product, and cross-functional teams to translate complex business and clinical problems into maintainable, scalable software solutions.

Responsibilities

• Design, build, deploy, and support production software across frontend, backend, cloud infrastructure, data, and interactive 3D applications.
• Lead technical design and implementation for features and system components, from initial problem definition through architecture, development, deployment, monitoring, and ongoing support.
• Grow into ownership of major technical areas of the platform, serving as a trusted delegate for architecture and implementation decisions.
• Contribute to software architecture and system design decisions that support scalability, security, performance, reliability, and long-term maintainability.
• Lead and participate in technical design reviews, code reviews, and architecture discussions.
• Mentor less-experienced engineers and help improve technical judgment, software design, debugging practices, and development effectiveness across the team.
• Partner directly with Product and other departments to clarify requirements, evaluate tradeoffs, and develop solutions that align technical execution with business objectives.
• Make sound technical decisions in situations involving incomplete requirements, ambiguity, changing priorities, and competing constraints.
• Use modern AI-assisted development tools, including coding agents, as an integrated part of the software development workflow while maintaining strong engineering judgment and verification practices.
• Build and integrate production software systems around AI and machine learning capabilities, including APIs, workflows, data pipelines, inference services, and cloud infrastructure.
• Improve engineering practices including automated testing, CI/CD, observability, documentation, development tooling, and software delivery processes.
• Balance engineering quality and long-term maintainability with product velocity and business value.
• Help establish and uphold a high standard of engineering excellence, ownership, and accountability.