
SaaS • Hospitality
Liven is a comprehensive hospitality platform designed to streamline operations, increase profitability, and enhance guest experiences for venues. It supports over 6,000 venues across Asia Pacific, including cafes, restaurants, and grocery stores, providing solutions that cover everything from ordering and payments to kitchen management and customer loyalty. With advanced POS systems and digital tools, Liven aims to reduce operational costs while driving customer engagement. The system is user-friendly and adaptable, working seamlessly across various environments such as quick-service restaurants, fine dining, and more. Liven is known for its innovative approach in the hospitality industry, helping businesses save costs and improve operational efficiency.
51 - 200 employees
☁️ SaaS
September 28

SaaS • Hospitality
Liven is a comprehensive hospitality platform designed to streamline operations, increase profitability, and enhance guest experiences for venues. It supports over 6,000 venues across Asia Pacific, including cafes, restaurants, and grocery stores, providing solutions that cover everything from ordering and payments to kitchen management and customer loyalty. With advanced POS systems and digital tools, Liven aims to reduce operational costs while driving customer engagement. The system is user-friendly and adaptable, working seamlessly across various environments such as quick-service restaurants, fine dining, and more. Liven is known for its innovative approach in the hospitality industry, helping businesses save costs and improve operational efficiency.
51 - 200 employees
☁️ SaaS
• Architect and deliver complex systems for loyalty, discounting, and customer rewards — from backend logic and APIs to seamless integrations with web and mobile apps. • Build and evolve scalable APIs using Node.js, Nest.js, and Express.js (TypeScript), enabling dynamic and rule-based engines for core product features. • Oversee the development and performance of Flutter-based applications used by large QSR brands, ensuring stability, scalability, and user-centric design. • Design robust relational data models using PostgreSQL, with efficient caching via Redis to support real-time performance. • Build secure, performant GraphQL APIs with Apollo, enabling flexible client-side data access across platforms. • Deploy, monitor, and scale services in Google Cloud Platform (GCP), leveraging automation and modern DevOps practices. • Set the standard for clean, maintainable, and testable code; lead code reviews and refactor legacy systems where necessary. • Collaborate closely with product managers, designers, and engineers to shape technical direction, define requirements, and deliver outcomes. • Drive the adoption of AI-powered tools to accelerate development, automate issue resolution, and improve engineering efficiency. • Work primarily during Australian business hours (AEST/AEDT) with some flexibility and core collaboration hours overlapping APAC and SEA teams.
• 7–10+ years of experience as a full-stack engineer, with a strong emphasis on backend development and scalable system architecture. • Proven track record of leading complex technical projects end-to-end, from design to deployment and iteration. • Deep expertise in: Node.js, Nest.js, Express.js (TypeScript). • GraphQL and Apollo. • PostgreSQL (relational data modelling) and Redis (caching). • Google Cloud Platform (GCP) for deployment, scaling, and monitoring. • Experience with Flutter or the ability to quickly manage and adapt to Flutter-based codebases. • Domain experience in building loyalty platforms, discounting engines, or other rule-driven systems is highly desirable. • A solid understanding of performance optimization, cloud infrastructure, and system reliability at scale. • Excellent communication and stakeholder management skills, with the ability to work cross-functionally across product, design, and engineering teams. • Full-time availability during Australian business hours (AEST/AEDT) to collaborate effectively with our core team and partners. • Good to Have: Experience working with QSRs, retail systems, or other transaction-heavy domains; Familiarity with CI/CD pipelines, automated testing frameworks, and observability tools (e.g., Stackdriver, Datadog, Sentry); Exposure to AI/ML tools or automation frameworks; Experience integrating with third-party platforms such as POS systems, payment gateways, or marketing automation tools; Contributions to open-source projects; Prior experience in remote-first teams, especially across time zones.
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