Full Stack Software Engineer
Job details
Stealth AI Healthcare is a cutting-edge technology company focused on revolutionizing healthcare solutions through advanced AI and machine learning. Our mission is to enhance patient care and improve outcomes with innovative tools that empower healthcare professionals and institutions. We are seeking a talented Full Stack Software Engineer to join our team and help bring our visionary solutions to life. Role and Responsibilities As a Full Stack Software Engineer, you will be responsible for managing the entire software development process, including development, deployment, and quality assurance. Your key responsibilities include:
- Design and Develop: Create scalable and responsive web applications, working across the full technology stack to deliver robust front-end interfaces and back-end services.
- Integrate Machine Learning Models: Collaborate with data scientists to integrate and deploy machine learning models using cloud platforms, ensuring efficient data processing and model performance.
- Enhance User Experience: Work closely with designers to develop intuitive and user-friendly interfaces that facilitate seamless interaction for end-users.
- Deploy and Maintain: Lead the deployment of our solutions across client systems, ensuring seamless integration and compliance with industry standards.
- Ensure Quality: Implement automated testing frameworks, conduct manual testing, and develop test plans to ensure software functionality and quality.
- Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- Experience:
- 5+ years of experience in full-stack development.
- Proven experience in deploying machine learning models.
- Familiarity with healthcare applications and standards is a plus.
- Technical Skills:
- Proficiency in front-end frameworks: React.
- Strong back-end development skills in Node.js, Python, or Java.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
- Knowledge of ML deployment frameworks like TensorFlow Serving or TorchServe.
- Experience with CI/CD pipelines and version control systems (Git).
- Familiarity with QA methodologies and testing tools (e.g., Selenium, JUnit, TestNG).
- Soft Skills:
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
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