Singtel

Lead Software Engineer (Java Microservices, BSS/CPQ)

Singtel
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16 days ago
Kuala Lumpur, MalaysiaStaff+

Responsibilities

  • Design end-to-end technical solutions across front-end and back-end systems.
  • Lead solution design across CRM, CPQ, order management, and billing integration domains.
  • Develop scalable microservices architectures and reusable system components.
  • Build and maintain APIs, services, and integration layers across distributed systems.
  • Implement product modelling, pricing configuration, and order orchestration flows.
  • Ensure solutions meet enterprise standards for performance, scalability, and security.
  • Provide technical leadership, mentorship, and guidance while remaining hands-on in development.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 6–10 years of experience in enterprise system development, preferably in BSS/OSS environments.
  • Strong proficiency in Java, Go, Python, or TypeScript.
  • Experience with microservices architecture and distributed systems.
  • Knowledge of relational databases such as Oracle, MySQL, or PostgreSQL.
  • Experience with Linux environments and version control tools such as Git.
  • Hands-on experience with zSmart BSS, zSmart CPQ, or similar platforms is highly preferred.
  • Experience with event-driven architecture such as Kafka or other messaging systems.
  • Exposure to AI-driven pricing or recommendation engines is advantageous.
  • Knowledge of TM Forum standards is advantageous.
  • Experience with cloud platforms and Kubernetes is advantageous.
  • Strong communication skills, leadership mindset, and ability to work in a fast-paced environment.
Singtel

About Singtel

5,001-10,000 employees

Singtel is a Singapore‑headquartered public telecommunications group founded in 1879 that sells mobile, broadband, and enterprise network services to consumers and businesses across Asia-Pacific. It owns Optus in Australia and operates NCS (regional IT services) and Nxera (data centers), and is expanding into AI infrastructure via its RE:AI GPU‑as‑a‑Service. Its revenue comes from connectivity subscriptions and managed services across networks, cloud, cybersecurity, and digital platforms, with equity stakes in regional operators broadening its reach.

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