Company Description

Traveloka is a technology company based in Jakarta, Indonesia. Founded in 2012 by ex-Silicon Valley engineers and aims to revolutionize human mobility with technology. Today Traveloka is expanding its reach by operating in 8 countries and experimenting with new endeavors that will create large impact in the markets and industries we touch.

About the Team

Eats as a BU has grown significantly over the past (almost) year. We have a significant scaling of business (City Expansion & country expansion) planned over the next 2 quarters. Keeping in mind the current requirements of the business, the Eats Data team needs to scale as well.


  • Design, build, and operate: 

    • Platforms (such as Experiment platform), that serve Analytics and Data Science use cases

    • Systems (such APIs, batch job, etc) that manage ML lifecycle (i.e train, serve, monitor, evaluate)

  • Ensure to follow standards, guidelines, and well known design patterns when building a system

  • Ensure the systems are well structured, unit- and integration tested, well maintained, and capable of serving 1000+ requests per second with low latency

  • Make appropriate choices of platform components (languages, libraries, queuing systems, datastores, processing, application servers, etc).

  • Operationalize logging, metrics, and alerting

  • Lead incident responses, perform root cause analysis, and resolve issues in all tiers of the system

  • Share knowledge by pairing and collaborations


  • Strong engineering backgrounds preferably from computer science, mathematics, software engineering, or other quantitative backgrounds, with an interest in Machine Learning.

  • Proficiency in at least one programming language such as Python, Java, Javascript.

  • Proficiency with Git, CI/CD, and deployment automation

  • Good knowledge of SQL, NoSQL and databases

  • Excellent interpersonal and communication skills

  • Understand the impact of your technical decisions to the people who use your product

  • Good knowledge of data pipelines (batch and stream) is a plus

  • Knows how to navigate your way around Google Cloud Platform is a plus

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