1 day ago
Singapore, SingaporeMid Level / Senior
Responsibilities
- Lead the design and development of application modules and core system components.
- Implement modular, reusable microservices-based architectures.
- Develop and maintain APIs, services, and integration components.
- Support product modelling, catalogue design, CPQ pricing and configuration rules, and order decomposition and fulfilment orchestration.
- Apply coding standards, design patterns, structured code organisation, version control, and collaborative development workflows.
- Produce technical documentation including design notes and API specifications.
- Work with relational databases, Linux environments, event-driven integrations, and enterprise BSS platforms.
Requirements
- Degree in Computer Science or a related field.
- 2–6 years of experience in enterprise system development, preferably in BSS/OSS.
- Proficiency in at least one of Java, Go, Python, or TypeScript.
- Experience with relational databases such as Oracle, MySQL, or PostgreSQL and basic SQL optimisation.
- Familiarity with Linux environments and basic system operations.
- Proficiency with Git and collaborative development workflows.
- Backend specialization requires Spring Boot/Spring Cloud, microservices, messaging, and caching experience.
- Frontend specialization requires React, Vue, or Angular experience with responsive design and performance optimisation.
- Experience with zSmart BSS, zSmart CPQ, or similar platforms is preferred.
- Knowledge of AI-enabled pricing or recommendation systems, TM Forum standards, cloud, or Kubernetes is preferred.
Benefits
- Contract role with opportunities to accelerate professional growth at Singtel.
Tech Stack
Categories
About Singtel
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.