Principal Full Stack Software Engineer

We are seeking a principal full-stack software engineer with an interest in health technology. The applicant will architect and lead software application development projects.

Responsibilities

1. Lead the end-to-end implementation of projects, right from the translation of user/engineer requirements into functional requirements, to a final deliverable.

2. Work closely with inter-disciplinary engineering teams, as well as external contractors to develop, and deliver desktop, and mobile applications.

3. Work with engineering and software teams to develop UI mockups and prototypes for web and mobile applications.

4. Partake in the design and development of APIs for firmware to cloud interfaces and create scalable database and Lambda architectures.

5. Setup, development, and management of cloud services for acquiring, processing, analyzing, saving, retrieving, and reporting data.

6. Local or cloud-based analysis of data to extract useful metrics and reports for better data visualization and decision making.

7. Recruit, and train junior engineers into the team

Basic Qualifications

1. Master’s degree or PhD in Computer Science, Engineering, Mathematics or related field, or equivalent experience

2. 5+ years of hands-on experience with Python backend development and UI/UX development using PyQt, Tkinter, REACT, or Node.js

3. 5+ years of Python based data analytics using packages such as Pandas, Seaborn

4. 3+ years of experience in the setup, build, and management of cloud services.

5. 3+ years of experience in Python programming with various database (RDBMS, NoSQL)

6. Ability to work independently, as a part of team, and train new members of the team

Preferred Qualifications

1. 10+ years architect or technical program manager level experience in developing interactive consumer applications and/or leading software development project teams with 5-10 software engineers

2. In-depth understanding of SDLC, agile software development, and project management with the ability to come up with high-level software architectures

3. 5+ years of experience in cloud-computing platforms such as AWS Lambda, EC2, Dynamo DB, and S3.

4. 3+ experience in projects involving supervised and unsupervised ML-based data analysis of large scale-multi dimensional databases, and cross-functional teams.