Site Reliability Engineer

ABOUT US

Maya is the all-in-one money platform that is bringing Filipinos bolder ways to master their money. 

It is powered by a unique integrated financial services ecosystem that addresses the ever-evolving needs of today’s generation of money makers through cutting edge technology. 

We lead millions of Filipinos — consumers, businesses, communities, and government agencies alike — into a version of the current digital economy that’s more inclusive, transparent, and empowering than ever. 

We are powered by the country's only end-to-end digital payments company Maya Philippines, Inc. and Maya Bank, Inc. for digital banking services. 

Maya Bank, Inc. and Maya Philippines, Inc. are regulated by the Bangko Sentral ng Pilipinas. www.bsp.gov.ph

OUR VISION

Be the #1 financial services ecosystem in the Philippines through leading-edge technology.

Overview:

As a Site Reliability Engineer, you will be responsible for the design, development, and monitoring of platforms that will help streamline the creation and deployment of data science solutions made by the data team. This professional will help us constantly improve our engineering practice, integrate recent technologies to existing/future architecture, and develop the technical expertise of the team.

What you will do:

• Collaborate with Machine Learning Engineers to ensure AI/ML services meet high performance and maintainability standards.
• Develop and maintain microservices that provide API access to machine learning models.
• Champion the adoption and implementation of Data Science Platforms team standards for building scalable and efficient microservices.
• Design, develop, and maintain CI/CD pipelines to streamline model, API, and data pipeline development while reducing deployment turnaround time.
• Build and maintain reliable, scalable infrastructure for platform tools and microservices.
• Conduct code and architecture reviews to uphold best practices.
• Integrate company-wide monitoring services with production APIs.
• Provide L2 support for the services deployed by the Data Science team.

What we are looking for:

• With at least a bachelor's degree in any quantitative discipline (i.e. Computer Science, Computer Engineering, etc.)
• Have at least 1 year of experience in designing CI/CD pipelines
• Have at least 1 year of experience in creating microservices

OUR MANTRA

Our defiance isn’t without reason. The questions we dare to ask aren’t without cause. We challenge the way things are to transform into something better – as humans, employees, collaborators, and enablers.

To be part of Team Maya is to be Bolder for Better.