Lead Software Engineer, Customer Data Platform

Job Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Get to Know the Team

1. Clickstream Intelligence Platform (Scribe) is Grab's in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform supports observability, real-time personalization, and business analytics by processing tens of billions of events per hour at petabyte scale.
2. Customer Data Platform (CDP) enables Grab Teams to onboard and register Grab's customer data and make it available for Online Serving, ML Models, Segmentation, and Real Time targeting to power personalization use cases across the company. Our platform is used across many mission-critical Grab services such as app personalization, experimentation, ads serving, and marketing.

Get to Know the Role

We are looking for a Senior Software Engineer for either the Scribe or CDP team that that has multiple different technical stacks:

• Programming Languages: Python, Go, Scala
• Data Streaming & Processing: Kafka, Apache Flink, Apache Spark
• Data Infrastructure & Tooling: Event gateways, Schema validation tools, Instrumentation testing frameworks

You will report to Engineering Manager in Singapore and work onsite at Grab Vietnam office (CMC CREATIVE SPACE, D.7, HCMC).

The Critical Tasks You Will Perform

• Design and improve clickstream data pipelines-from event ingestion to insight delivery-and contribute to services/tools for understanding user behavior.
• Build scalable platform capabilities for user data onboarding, online serving, and real-time data pipelines/architecture.

What Essential Skills You Will Need

• Software Engineering, Computer Science, or related undergraduate degree.
• Minimum of 5+ years of experience in Software Engineering.
• Proficient in at least one of the following programming languages: Python, Go, or Scala
• Experience with data processing technologies such as Apache Flink (for real time processing) and Apache Spark (for batch processing)
• Experience developing large-scale backend or data systems and has good understanding of technical trade offs and evaluations needed to enable high load, low latency systems, while maintaining system reliability and cost efficiency.
• Proactive and product-ownership mindset, capable of delivering 0-to-1 products to facilitate rapid experimentation
• Good English communications with prior work experience in regional & global environment

Desirable Experience

• Experience building software using AI / ML
• Experience with AWS, Terraform, and Kubernetes
• Proficiency in CI/CD tools (Jenkins, GitLab, etc.)
• Experience building customer data platforms, clickstream platforms, or marketing / ads systems

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balance personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.