Company Profile:

Stryker is one of the world’s leading medical technology companies and together with our customers we are driven to make healthcare better We offer innovative products and services in Medical and Surgical Neurotechnology Orthopaedics and Spine that help improve patient and hospital outcomes

Job description:

What you will do:
·        Design, develop, and maintain complex, high-performance, and scalable full-stack software applications that interface with AI models and systems.
·        Collaborate with cross-functional teams, including data scientists, AI researchers, mobile app developers,  and AI/ML engineers, to gather requirements, define project scope, and ensure alignment with business objectives and goals.
·        Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks in a cloud-native (Azure) environment.
·        Troubleshoot and resolve complex software issues, ensuring optimal application performance and reliability when interfacing with AI/ML systems.
·        Assist in the planning and estimation of software development projects, ensuring the efficient allocation of resources and timely delivery of solutions.
·        Contribute to the development and maintenance of technical documentation, including design specifications, API documentation, and user guides.
 

What you need:           
·        A minimum of 7+ years of experience in software development, with a focus on full-stack development.
·        Strong knowledge of multiple programming languages, such as JavaScript, Python, Java, or C#.
·        Proven experience with front-end technologies and frameworks, such as React, Angular, or Vue.js.
·        Solid understanding of back-end technologies and frameworks, such as Node.js, Django, or Spring Boot.
·        Familiarity with database technologies, such as SQL, NoSQL, and ORM tools.
·        Experience with Azure cloud platform, services, and best practices.
·        Knowledge of AI and machine learning concepts, technologies, and integration techniques.
·        Experience with version control systems, such as GitLab, and project management tools such as Jira or Azure DevOps.
Knowledge of CI/CD pipelines, containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates.