Sr. Software Engineer
Key Responsibilities
- Lead the architecture, development, and deployment of full-stack web and mobile applications, ensuring high performance and responsiveness.
- Collaborate closely with senior management and stakeholders to define and implement cutting-edge features that align with business goals.
- Utilize Figma to create visually appealing and user-centric interfaces, while maintaining a keen eye for detail and design consistency.
- Oversee and manage cloud infrastructure on Azure, optimizing for performance, security, and scalability, while minimizing costs.
- Implement and advocate for DevOps best practices, including continuous integration, delivery, and deployment, to streamline the development lifecycle.
- Apply your expertise in medical image processing to solve complex challenges, contributing to the development of innovative healthcare solutions.
- Leverage machine learning and data processing techniques to extract actionable insights, enhancing the functionality and intelligence of our applications.
- Mentor and lead junior engineers, fostering a collaborative and innovative environment that encourages continuous learning and growth.
- Stay updated with the latest industry trends and technologies and proactively integrate them into the development process to keep our products at the forefront of innovation.
Skills Knowledge and Expertise
- Bachelor's degree in Computer Science, Engineering, or a related field; a Master's degree is a plus.
- 5+ years of hands-on experience in software development, with a strong focus on full-stack web and mobile application development.
- Deep expertise in React Native and Node.js, with a portfolio of successfully launched applications.
- Proficiency in design tools, particularly Figma, with the ability to translate design concepts into fully functional user interfaces.
- Extensive experience with cloud infrastructure, particularly Azure, including managing resources, monitoring, and cost optimization.
- Strong knowledge of DevOps practices, including CI/CD pipelines, automated testing, and containerization.
- Experience in medical image processing, with a strong understanding of the challenges and opportunities in this domain.
- Proficient in machine learning techniques and data processing workflows with LLM, and the ability to implement these in real-world applications.
- Excellent problem-solving skills, with the ability to think critically and provide innovative solutions to complex challenges.
- Exceptional communication and leadership skills, with the ability to lead projects and teams to successful outcomes.
- A passion for continuous learning, staying abreast of the latest technologies, and applying them to your work.
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