You will design, prototype, and develop internal applications, services, integrations, and workflow automations for areas such as IT service management and service operations.
You will build AI-enabled workflows using suitable combinations of language models, prompts, retrieval, tools, APIs, structured data, and human approval controls.
You will integrate solutions with enterprise systems, including IT service platforms, telemetry sources, knowledge repositories, and internal APIs....
You will design, build, and maintain critical backend services, APIs, and asynchronous workflows that power merchant onboarding, seller operations, and e-commerce experiences.
You will independently own delivery from technical design to rollout, including implementation planning, testing strategy, monitoring, and rollback readiness.
You will improve the correctness, reliability, and observability of systems that manage merchant profile data, store configuration, catalog-related workflows, and business rules....
You will design and develop scalable backend services and APIs that support multiple client applications, ensuring and reliability in a distributed systems environment
You will lead the full lifecycle of features from requirements gathering through production deployment, collaborating with product, design, and business teams to translate requirements into technical solutions
You will write clean, maintainable, and well-tested code that serves as a reference for the team; establish and uphold coding best practices...
You will oversee the end-to-end recommendation pipeline — candidate generation, pre-ranking, and ranking — leading both iterative improvements and innovations.
You will design and write in the Go language to improve the availability, scalability, latency, and efficiency of the team's range of services.
You will work with product and design teams to understand requirements, provide product feedback, and own and implement features from start to finish....
You will design and write with the state of the art Go language to improve the availability, scalability, latency, and efficiency of Grab's range of services
You will have a thorough understanding of how to deploy performant cloud based backend services
You will participating in both code and design review...
Oversee the technical direction of the Partner Integration service. Turn vague business and partner problems into clear technical solutions. Write and lead RFCs and technical specs for critical systems such as partner-facing APIs, outbound order and menu webhooks, and large-scale menu and catalog sync. Make sound trade-offs between cost, quality and time-to-market.
Design public API contracts that last. Set the standards for API design, versioning, backward compatibility, authentication (OAuth2, HMAC), multi-tenant isolation and sandbox parity, so that hundreds of partner integrations keep working while the platform changes underneath them.
Oversee reliability, scalability and cost. Oversee the non-functional requirements of the team's services: delivery success rates for partner webhooks, sync correctness when partner data is untrusted, MySQL and queue performance at peak load, and cloud cost. Find systemic issues, argue for the resources to fix them, and lead the fixes through....
You will work with the product/design/business team to understand requirements, provide product feedback, own and implement the product from start to finish.
You will create and lead the technical discussions within engineering teams
You will write code that is reusable, scalable and testable. Your code is the great examples that other team members can follow...
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.
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.