Lead Software Engineer, Scribe

PLT engineering GmbH; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

Grab's Clickstream Intelligence Platform (Scribe) backend team is seeking a Technical Lead with breadth across the following stacks: React.js, Golang, Kafka, Flink, Spark, Trino, StarRocks, Hive, Iceberg/Delta Lake on AWS, and Python for applied AI. You will set the technical direction for the platform, own its architecture, cost and reliability, and mentor a team of senior engineers and interns.

You will report to the Engineering Manager in Singapore and work onsite at Grab's Singapore office

Qualifications

• Experience owning backend architecture and roadmaps.
• Leadership of senior engineers and interns in a multi-stack environment.
• Strong collaboration across teams (Mobile Platform, Product Analytics, Data Warehouse).

Responsibilities

• Own the architecture and roadmap of Scribe's backend: ingestion gateway, event-lifecycle services, streaming and data-lake pipelines, and APIs behind the Scribe Portal and MCP.
• Lead Project MEGA to completion with typed specs, validation, and migration of legacy events across teams.
• Design and deliver the governed clickstream data layer and event vocabulary for funnel analytics.
• Run the platform cost programme with deprecation, retention, right-sizing and chargebacks.
• Write RFCs, drive cross-team decisions, and represent Scribe in architecture reviews.
• Own on-call processes, incident response, post-mortems, and SLA monitoring.
• Grow the next generation of technical leads.

Skills

React.js

Golang

Kafka

Apache Flink

Apache Spark

Trino

StarRocks

Hive

Iceberg/Delta Lake

Python

Tools

AWS

Job description

Get to Know the Team

Clickstream Intelligence Platform (Scribe) is Grab's in-house app instrumentation and insights platform. It captures and processes user clickstream activity across all Grab apps at petabyte scale, and powers observability, experimentation, real-time personalisation and business analytics. Through Project MEGA, Scribe has moved from a passive event transport layer to a platform that enforces typed, validated event schemas at the point of instrumentation, and is now building a governed clickstream data layer, self-serve funnel analytics and agent-assisted instrumentation tooling on top of it. The team is based in Singapore and Ho Chi Minh City and works closely with Mobile Platform, Product Analytics, Data Warehouse and Developer AI teams.

Get to Know the Role

We are looking for a Technical Lead for the Scribe backend team with breadth across the following technical stacks:

• Web Portal: React.js and Golang backend.
• Ingestion and Streaming: high-throughput Go gateway services, Kafka, Apache Flink.
• Data Processing / Storage: Apache Spark, Trino, StarRocks, Hive, Iceberg / Delta Lake on AWS.
• Applied AI: LLM agents for code migration and spec generation, MCP servers, Python backend.

You will set the technical direction for the platform, own its architecture, cost and reliability, and mentor a team of senior engineers and interns. You will report to the Engineering Manager in Singapore and work onsite at Grab's Singapore office (One-North).

The Critical Tasks You Will Perform

• Own the architecture and roadmap of Scribe's backend: ingestion gateway, event-lifecycle services (specs, ownership, versioning, deprecation), streaming and data-lake pipelines, and the APIs behind the Scribe Portal and Scribe MCP.
• Lead Project MEGA to completion as business-as-usual: typed specs, producer-side validation, CI guardrails, and agent-driven migration of legacy events across Grab's Tech Families.
• Design and deliver the governed clickstream data layer and event vocabulary that power funnel analytics and user-understanding use cases.
• Run the platform cost programme: event lineage, automated deprecation, retention policy, gateway right-sizing and legacy stream retirement, with clear chargeback to producing teams.
• Write RFCs, drive cross-team technical decisions to closure, and represent Scribe in architecture and operational-excellence reviews.
• Own operational excellence for a critical platform: on-call process, incident response, post-mortems, fire drills, SLA and data-loss monitoring.
• Lead an engineering team with diverse technical stacks and grow the next technical leads.