Our client is a large, established Singapore-headquartered group with a strong consumer and enterprise footprint. They are investing heavily in building a next-generation, large-scale connected platform that powers thousands of real-time, device-integrated transactions daily.
They are looking for a hands-on Backend Technical Lead to own the backend vision and engineering excellence for this fast-scaling platform. This is a high-impact, player-coach role at the intersection of software, IoT, and real-time systems.
The Role
You will be the technical anchor for the backend - driving architecture, end-to-end delivery, and operational maturity of a mission-critical, cloud-native platform. You will partner closely with Product, Engineering, and Infrastructure teams to build resilient, high-performance systems at scale.
What You Will Own & Drive
- Define and evolve backend architecture, system design, and technical roadmap for a distributed, high-traffic platform
- Own end-to-end delivery of backend services - from design to deployment to production ownership
- Build for high availability, performance, and security
- Champion engineering best practices through design reviews, code quality, and pragmatic build-vs-scale decisions
- Architect and scale event-driven and asynchronous workflows for real-time operations
- Drive database performance, indexing strategy, and cost optimization
- Lead production troubleshooting, incident management and root cause analysis
- Partner with DevOps to strengthen CI/CD, observability, monitoring and reliability
- Mentor engineers and lead technical initiatives across teams
What You Will Bring
- Strong hands-on experience in Golang building production-grade systems; Java exposure is a plus
- Deep understanding of concurrency, performance profiling and optimization
- Proven experience designing scalable REST APIs and complex system-to-system integrations
- Strong SQL expertise with PostgreSQL or similar RDBMS
- Experience with event streaming systems like Kafka and real-time protocols like WebSockets / MQTT
- Experience debugging and operating production systems at scale
- Hands-on with cloud-native stacks - AWS or Azure, Docker, Kubernetes
- Solid grasp of distributed systems, scalability patterns and failure handling
- Prior experience mentoring engineers or leading technical initiatives
- Familiarity with Infrastructure-as-Code (Terraform or similar) and observability tools (Datadog, Sentry etc.)
- Experience in high-throughput, real-time, or transaction-heavy platforms
Good to Have
- Exposure to IoT, connected devices, or mobility platforms
- Familiarity with industry-standard device communication protocols
- Experience with payment / billing workflows or distributed device-integrated systems
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