Engineering Lead, Fraud Systems

Singapore, Singapore Full-time

 GO-JEK is the largest consumer technology company in Indonesia, the world's 4th largest market by population. With over 25 million downloads, the GO-JEK app has become the leading transport, payments, courier, and hyperlocal shopping app in the country.

As the Engineering Lead of Fraud Systems, you will be the owner of software engineering, software architecture, security practices, DevOps, and infrastructure best practices, processes, abstractions, metrics, and engineering principles at GO-JEK.

You will also need to keep up to date with trends in engineering, including containers and orchestration, microservices, devops, CI, other programming paradigms, etc. and shape company technology strategy.

What you will do:

  • Manage a large team of engineers and ensure company goals are being met
  • Manage and participate in system architecture, verification, troubleshooting, release planning, scaling, and other aspects of the product/software life cycle
  • Implement agile development, TDD, and other engineering best practices
  • Confers with executive team to determine direction and how best to meet organizational goals
  • Provide guidance and create detailed SOPs, metrics, standards to ensure results
  • Mentor and pair program with engineers on a weekly basis
  • Owns the long term vision of Fraud products and services in line with company OKRs
  • Work closely with Data Science, Data Engineer, Platform, and other cross functional teams
  • Provides technical leadership within team and across GO-JEK org

What we are looking for:

Minimum qualifications

  • BS or MS in Computer Science/Engineering or a related field
  • At least¬†8 years hands-on coding experience
  • At least 5 years of management experience of a team larger than 5
  • Experienced with building and managing large scale systems with horizontal scalability
  • Experienced with design and operation of Databases, SQL and/or NoSQL
  • Experienced with DevOps practices
  • Strong analytical and systems thinking skills to handle both the big picture and important technical details.
  • Strong and nuanced oral, written, communication skills
  • This position requires 30% or more travel. Travel will be domestic and international

Preferred qualifications:

  • Experience with AI, machine learning, deep learning
  • Experience with fraud, risk, or security domains

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