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Full-Stack Software Engineer
₱100,000 - 110,000 per month
Open to Work From Home
With Business Certificates
Established in 2007
Total vacancies for this job title: 1
Posted On: July 25, 2022
Job ID: 409151
FULL-STACK SOFTWARE ENGINEER
Employment Status: Full-Time (40 hours/week)
Schedule: 8:00PM - 5:00 AM Philippine time (8:00 AM - 5:00 PM EST-New York)
About the End client:
The client has an incubator and a company builder focused on crafting beautiful technology products. They have built a next-gen Software for financial institutions and have raised an investment round to propel it to the next level.
Who are we looking for?
Software developers that share their obsession with building great technology products. They value grit, tenacity, and the ability to find a way around big problems more than specific domain expertise or years of experience.
Willing to experiment 100 times and fail (fast) 95 times rather than do one thing for a very long time.
Willing to work in an unpredictable and fast-paced environment
Wants freedom in the workplace; this is not the typical “I tell you exactly what you need to do” job.
Confident sharing progress to experienced forums (mainly Advisory Council and external shareholders)
Love finding solutions to problems and knows his way around technology (or is willing to learn) – if the idea of building a web application, integrating analytics, and talking to users to find product-market fits scares or bores you, then this is not the job for you.
We need somebody that has developed public SaaS applications
Skills and Requirements:
Code software primarily in Node.JS (latest version)
Query and manage both traditional databases (e.g., MySQL) and No-SQL data stores (e.g., MongoDB)
Develop software in any other technology platform, as required
Building test automation
Web frontend programming in HTML5 and CSS
Web development using AngularJS
Continuous Integration using Bitbucket
Provision Dev, Staging, and Production environments in AWS and other platforms
Work in teams with a product, design, data science, risk, and operations
Design and build great products