Set the technical direction for the Scribe backend platform, own its architecture, cost and reliability, and mentor a team of senior engineers and interns.
Locations (2)
Singapore, Singapore
Ho Chi Minh City, Ho Chi Minh City (HCMC), Vietnam
Responsibilities
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.
Drive the infrastructure and operational tooling that support GrabDefence, partnering with the central SRE team to manage AWS resources, support infrastructure migrations, and automate operations using AI-enabled tools.
Locations (2)
HCMC, Vietnam
Singapore, Singapore
Responsibilities
Design and manage AWS infrastructure (networking, storage, compute, databases) for reliable and scalable services
Partner with central SRE team to deliver infrastructure capabilities and align operational practices
Plan and execute infrastructure maintenance and migrations with rollback plans
Implement infrastructure policies and access controls (IAM, least-privilege)
Build and improve infrastructure management and orchestration tools
Requirements
Nice to have: Self-service infrastructure platforms
Nice to have: AI-agent workflows
Nice to have: CI/CD tools (Jenkins, GitLab)
Senior Software Engineer (Python, C++ in Robotics, AI)
As a Software Engineer, you will develop software for the Company's Controller and Camera products, offering advanced functionalities in device control, robotics, computer vision, and AI for industrial automation.
Design, develop and maintain software in Python and C++ for low-code robotics programming, AI training / inference, computer vision, device control and other related technologies.
Collaborate with product and other development teams to meet customer expectations.
Assist test engineers in integration and stress testing.
Work closely with external and internal users to troubleshoot and address issues in production.
Requirements
BSc degree or higher in Computer Science, Computer Engineering, Software Engineering or related fields.
Designing, building, and maintaining scalable data transformation, ingestion, and storage pipelines to support AI and machine learning applications.
Collaborating with data scientists and AI engineers to deploy machine learning and AI models into production environments.
Automating AI infrastructure to streamline development workflows for data scientists and AI engineers.
Assisting in building AI models from the ground up, transforming machine learning models into APIs, and integrating them with other systems for real-world applications.
Conducting statistical analysis to interpret model results and inform business decisions.
Requirements
Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field
The AI Engineer is responsible for researching, developing, and deploying artificial intelligence solutions that serve both internal operations and client needs, focusing on automation systems, AI Agents, and supporting the Data team in building intelligent analytics tools.
Responsibilities
Design and develop AI Agents for internal enterprise use and client-facing applications (RAG, chatbots, automation agents)
Build automated data pipelines: collection, cleansing, enrichment, and distribution powered by AI
Develop intelligent alerting systems with built-in root cause analysis and recommended actions
Collaborate with the Salesforce CRM team on system integrations between CRM and other platforms
Collaborate with the Data team to add AI layers on top of existing dashboards and analytics tools
Maintain and strengthen cloud ecosystem supporting Clearer, Boost Commerce, REVIEWS.io, and Influence, ensuring high reliability for global merchants while empowering engineering teams to deploy faster and safer.
Responsibilities
Implement and manage Infrastructure-as-Code using Amazon CDK and Terraform
Assist in automating cloud infrastructure provisioning and configuration management
Improve monitoring, logging, and alerting for system reliability
Support deployments and optimize container orchestration in Kubernetes (EKS) & ECS
Participate in root cause analysis and resolution of system issues
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent
Nice to have: Shopify experience
Nice to have: AI assistants (Claude, GitHub Copilot)
Senior Data Engineer responsible for building and maintaining data pipelines, lakehouse, and AI-facing data tools within Backbase’s Data Enablement team.
Responsibilities
Develop and maintain pipelines extracting data from many sources
Process data ranging from observability metrics to bank accounts and transactions
Transform raw data into business-ready analytical models on a Data Lakehouse
Guard data consistency, quality and end-to-end governance across the full lifecycle
Ingest and maintain a large versioned documentation corpus
Requirements
Bachelor's or Master's degree in Computer Science, Data Science or a related field
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