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Lead Backend Engineer (High-Scale IoT Platform)

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Onsite

Lead Backend Engineer (High-Scale IoT Platform)

Newbridge

Lead Backend Engineer (High-Scale IoT Platform)

Skills

SQL QueriesDockerGolangJavaPostgreSQLKafkaDatadogAWSKubernetesTerraformAzure

13 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

7 October 2026

What they need


Our client is a leading technology company building a next-generation platform that powers real-time, device-integrated systems at scale. They are looking for a Lead Backend Engineer to own their backend architecture and drive the platform's next phase of growth.

This is a high-impact leadership role for someone passionate about system architecture, performance, and reliability in a high-traffic, IoT-driven environment.

What You'll Do

  • Lead backend architecture and system & solution design
  • Own end-to-end delivery of backend services
  • Ensure high availability, scalability, performance and security
  • Drive engineering best practices, code quality, and design reviews
  • Improve database performance, indexing strategies, query efficiency, and overall cost optimization
  • Lead production incident investigations and root cause analysis
  • Design and implement event-driven and asynchronous systems
  • Work closely with DevOps on deployment, monitoring, and reliability
  • Balance speed of delivery with long-term scalability and maintainability
  • Mentor engineers and drive technical initiatives across teams

What You'll Need

  • Strong experience in Golang and building production systems; Beginner to Intermediate knowledge in Java is a plus
  • Deep understanding of concurrency, memory profiling, and performance optimization
  • Experience designing RESTful APIs and system-to-system integrations
  • Strong SQL knowledge and experience with PostgreSQL or similar RDBMS
  • Experience with event streaming systems (e.g., Kafka) and real-time communication protocol (e.g., WebSockets)
  • Hands-on experience debugging production issues
  • Familiarity with cloud-native deployments (Azure or AWS)
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Strong grasp of system design, scalability, and failure handling
  • Experience working on high-traffic or real-time systems
  • Prior experience mentoring engineers or leading technical initiatives

Good to Have

  • Exposure to Infrastructure-as-Code (Terraform or similar)
  • Experience with observability tools (Datadog, Sentry or similar)
  • Prior experience in large-scale IoT, connected devices, or smart infrastructure platforms
  • Familiarity with device communication protocols and platform integrations
  • Experience working with distributed or device-integrated systems
  • Exposure to payment systems, billing workflows, or transaction-heavy platforms

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