Senior Software Developer

Responsibilities

• Guide requirements analysis: Contribute to defining technical solutions that meet product and system needs.
• Design software architecture: Build components with a focus on scalability, reliability, and maintainability.
• Implement complex modules: Develop software features and integrate them seamlessly with existing systems.
• Leverage AI tools efficiently: Utilize AI coding and documentation assistants (e.g., Claude) to increase development proficiency, ensuring all AI-generated outputs undergo rigorous human review and validation to meet strict medical device quality and safety standards.
• Ensure code quality: Design and implement comprehensive unit tests to ensure reliability.
• Execute testing: Plan and execute software testing activities, supporting integration and system verification.
• Maintain documentation: Prepare and maintain high-quality software documentation, including design specifications and technical reports.
• Resolve issues: Analyze and troubleshoot complex software issues, providing technical guidance to the team.
• Optimize workflows: Maintain and optimize the Continuous Integration (CI) environment to ensure efficient builds and testing.
• Support team growth: Actively mentor junior and mid-level developers, facilitate workshops, and support team growth through knowledge sharing.

Basic Qualifications

• Technical Expertise: Advanced proficiency in at least one programming language, with a strong ability to craft efficient and scalable solutions using best practices.
• AI Tool Proficiency: Experience utilizing AI tools (e.g., Claude) to accelerate code generation, refactoring, and logic optimization. Use AI to augment coding and technical documentation, with a strong understanding that AI is strictly a supplemental tool requiring expert human oversight in a compliance framework.
• AI Advocacy: Assist the manager in mentoring the team in the responsible adoption of AI. This includes establishing "prompt engineering" standards to improve output quality and training developers to scrutinize AI suggestions for hallucinations or security flaws.
• Architecture & Design: Expertise in advanced design patterns, risk analysis, system optimization, and full-cycle development tasks.
• Problem Solving: Demonstrated ability to address complex problems, foresee issues, and devise innovative solutions that benefit the business.
• Autonomy: High level of independence in making critical architectural decisions and managing project workflows.
• Communication: Ability to clearly explain technical concepts to non-technical stakeholders and manage cross-functional collaboration seamlessly.
• Business Acumen: Deep understanding of business impact, ensuring technical decisions align with strategic objectives.
• Preference for candidates with familiarity with medical device compliance standards and quality management systems.