Senior Software Engineer
Senior Fullstack Engineer designs and develops high-performance web applications and RESTful APIs for a healthcare AI platform, integrating ML/NLP models. Requires 3-6 years experience with modern front-end/back-end technologies and cloud platforms.
What You’ll Do
- Design and develop responsive, high-performance web applications that serve as the backbone of our healthcare AI platform.
- Collaborate with product managers, UX/UI designers and Engineering platform leaders to translate requirements into technical designs and user-friendly interfaces.
- Build and optimize RESTful APIs to enable seamless integrations with various healthcare systems and third-party services.
- Uphold best practices for code quality, testing, and continuous integration/continuous deployment (CI/CD) to ensure high reliability and maintainability of our software.
- Troubleshoot and resolve technical issues across your domain, from front-end functionality to back-end infrastructure.
- Work closely with our data science team to deploy machine learning (ML) and natural language processing (NLP) algorithms into production environments.
- Engage in agile development processes, participating in sprint planning, daily stand-ups, and retrospectives to continuously improve team workflows.
You’re a Great Fit if
- 3-6 years of relevant work experience in fullstack web development, with a focus on modern technologies and frameworks.
- Excellent problem-solving, coding, and debugging skills with a proven ability to deliver with quality.
- Proficient understanding of modern web application development, including proficiency in front-end frameworks (e.g., React, Angular, Vue) and back-end technologies (e.g., Node.js, Python, Ruby).
- Strong ability to break down complex projects into manageable milestones and deliver working software with minimal day to day oversight.
- Experience writing maintainable, well-tested, and reliable code, with adherence to software development best practices.
- Strong written and verbal communication skills with the ability to articulate technical limitations and risks clearly.
- A collaborative mindset, willing to work closely with diverse teams and stakeholders.
- Experience with cloud platforms (e.g., GCP, AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
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