Senior Full Stack Software Engineer

Company Description

John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.
John Snow Labs is the developer of Spark NLP - the world’s most widely used NLP library in the enterprise - and is the world’s leading provider of state-of-the-art clinical NLP software, powering some of the world’s largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 20% hold a Ph.D. or M.D. and 53% hold at least a Master’s degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.

Job Description

We are seeking a talented and experienced Senior Full Stack Software Engineer to join our innovative team in a remote capacity from Nepal. As a key member of our development team, you will be responsible for designing, developing, and maintaining cutting-edge web services and applications.

• Architect and implement scalable, efficient, and maintainable full-stack solutions
• Collaborate with cross-functional teams to define, design, and ship new features
• Write clean, high-quality code for both front-end and back-end components
• Optimize application performance and ensure high availability
• Participate in code reviews and contribute to improving our development practices
• Mentor junior developers and provide technical leadership
• Stay up-to-date with emerging trends and technologies in full-stack development
• Troubleshoot, debug, and upgrade existing systems
• Implement security and data protection measures
• Contribute to the continuous improvement of our development processes and tools

Qualifications

• Bachelor's degree in Computer Science or related field
• 5+ years of experience in full stack development
• Strong proficiency in Python 3, JavaScript or TypeScript
• Extensive experience with full-stack and client-side web development
• Expertise in backend frameworks and distributed task queues
• Proficiency in Docker, Kubernetes, and CI/CD pipelines
• Strong knowledge of Git workflows, code reviews, and issue tracking systems
• Experience with RESTful API design and implementation
• Familiarity with both SQL and NoSQL database systems
• Solid understanding of web security principles and best practices
• Experience working in Linux environments
• Proven track record of delivering production-grade software projects
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Passion for creating exceptional user experiences

Preferred Qualifications:

• Experience with cloud platforms (e.g., AWS, Azure, or GCP)
• Familiarity with Spark and Jupyter notebooks
• Knowledge of frontend technologies including HTML, CSS, and modern build tools
• Active GitHub account with public contributions
• Experience mentoring junior developers

Additional Information

What John Snow Labs offers:

The Opportunity: We offer long-term freelance contracts for professionals eager to tackle cutting-edge problems, learn and build your career as part of a world-class team. This role requires a minimum commitment of 30 hours per week and is open to individual applicants only (no agencies or teams, please). 100% remote position.

What We Offer:
- Career Growth: This is a career-defining opportunity that promises to expand your skill set and experience with various tools and techniques.
- Collaborative Environment: Work within a team of clinical and data science experts to make a significant impact.
- State of the Art Technology: Contribute to advancing the state of the art of Healthcare AI, including contributions to open-source projects and peer-reviewed papers.
- Learning and Culture: Opportunities for professional development through knowledge exchange within a global AI community.