Back End Developer
Hacarus Inc.
- Makati, Philippines1406, 88 Corporate Center Sedeno cor. Valero Sts., Makati, Metro Manila, PhilippinesMakatiMetro ManilaPhilippinesPhilippines
- Full timeFULL_TIME
Job closed.
Job Description
As a Backend Engineer, you will develop various backend applications that interact with the machine learning system, and server-side APIs needed for the mobile application. Working in a cross-functional scrum team with the project manager, UI/UX designers, mobile application engineers, and machine learning architects. You will work on product requirements and software concepts and actively create the next generation of our backend applications.
Minimum Qualifications
- Based in the Philippines. Preferably in Metro Manila or Provinces near Metro Manila
- Over 3 years experience in backend development of web application or web API
- Good knowledge about design pattern and software architecture
- Your written and spoken English is Excellent
- Experience of Python would be a plus
- Experience of AWS would be a plus
Perks and Benefits
- Paid Holidays
- Paid Vacation Leave
- Paid Sick Leave
- Medical / Health Insurance
Required Skills
- Python
- SQL
Preferred Courses
- Information Technology
- Computer Science
- Computer Engineering
Jobs Summary
- Job Level
- Associate / Supervisor
- Job Category
- IT and Software
- Educational Requirement
- Bachelor's degree graduate
- Recruiter response to application
- Often
- Office Address
- 1406, Makati, Metro Manila, Philippines
About Hacarus Inc.
Hacarus started out in 2014 as a healthcare AI venture, with a mission to achieve health and a long life through a nutritious diet. From the beginning, we used AI technology (artificial intelligence) to optimize food and nutrition balance on an individual level.
Our main differentiation is our Sparse Modeling methodology, which works efficiently with small amounts of data. That’s why we call our approach Small Data AI.
We believe that, in the long term, increasing the availability of proprietary technologies helps to advance the human condition, reducing poverty and inequality in the world. Distributing our Sparse Modeling AI to firms creates greater efficiency and productivity in society. In practicality, this translates to being able to better diagnose diseases, learn useful medical insights, and bring cheaper products to consumers through efficient manufacturing practices.
Looking to the future, we plan to extend our technology to an even greater number of sectors and applications to aid in making human lives healthier and longer.