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Job Description
- Handle demand analysis, system design, and module-level design of back-end business functions, ensuring scalable and modular architectures.
- Design, develop, and maintain efficient, high-performance back-end services and APIs, emphasizing clean, maintainable code and following best practices.
- Drive continuous optimization of a cloud-native back-end technology stack, leveraging modern frameworks and tools to ensure scalability, reliability, and fault tolerance.
- Collaborate closely with the product, front-end, and DevOps teams to deliver seamless end-to-end features and functionality.
- Diagnose, troubleshoot, and resolve critical issues and performance bottlenecks at scale, ensuring minimal downtime and optimal system throughput.
- Investigate and implement performance tuning strategies for databases, distributed caches, and messaging systems.
- Apply secure system design principles and experience with complex transaction flows to build robust, high-integrity backend services.
- Explore and integrate AI Agent technologies into the back-end to enhance automation, decision-making, and intelligent workflow management.
- Stay up to date with advancements in AI technologies, scalable system architectures, and emerging tools, applying them to enhance product performance and system capabilities.
Job Requirements
- Bachelor's degree or above from a public university, or more than 5 years of back-end development experience from a recognized overseas institution (with academic degree certification by the Ministry of Education's Overseas Study Service Center).
- Experience with modern architectural patterns and frameworks, particularly ABP and Orleans, to build distributed, scalable, and fault-tolerant systems.
- Keen interest in AI technologies, intelligent systems, and familiarity with relevant machine learning frameworks or automation tools.
- Understanding or experience with AI Agent frameworks and machine learning concepts, with a focus on integrating AI-driven functionalities into backend services.
- Excellent communication and comprehension skills, comfortable collaborating with interdisciplinary teams in a fast-paced, results-oriented environment.
Preferred Qualifications
- Proven track record of contributing to high-performance, production-grade distributed systems and AI-integrated backend solutions.
Key Skills
Ranked by relevance
ai
machine learning
devops
cloud
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- Posted
- Sep 15, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Singapore
- Company
- Trulyyy
Industries
Technology
Information
Media
Categories
Engineering
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3 roles aligned with this opportunity
View Job Details
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Power ML Engineer
2026-05-26
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Engineering
View Job Details
Related
Forward Deployed Engineer, GenAI, Google Cloud
2026-05-20
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View Job Details
Related
DevOps Engineer
2026-05-27
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