summary

singapore
S$6,000 - S$7,500 per month, Bonuses
permanent
full-time

specialism
information technology
sub specialism
software engineering & application development
reference number
91M0269720_5834445149208256578

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job details

about the company
We are representing a multinational technology group that specializes in enterprise-scale risk management and high-assurance digital systems. Operating at the intersection of complex hardware and software, this organization develops mission-critical solutions used by organizations globally to ensure operational continuity and digital resilience. ...

about the role

End-to-End System Architecture: Design and scale high-performance full-stack systems that bridge the gap between physical assets and cloud-based platforms.
Applied Intelligence: Develop and deploy functional Machine Learning models focused on predictive analytics and pattern recognition within large-scale data streams.
Technical Integration: Oversee the secure flow of data between edge devices and centralized software, ensuring system integrity across the entire stack.
Performance Engineering: Act as a technical lead in optimizing system health and troubleshooting complex deployments in high-security, high-availability environments.
Technical Stewardship: Maintain ownership of software design patterns to ensure long-term scalability and robust security for a global user base.

skills & experience required

Experience: 3–5 years of professional software engineering experience within a complex, technical product environment.
Full-Stack Proficiency: Expert knowledge of modern frontend frameworks and backend languages (e.g., Python, Node.js, or Go).
Practical AI/ML: Hands-on experience implementing ML libraries (TensorFlow, PyTorch, etc.) for real-world data analysis.
Distributed Systems/IoT: Familiarity with edge computing, machine-to-machine (M2M) communication, and standard networking protocols.
Modern DevOps: Strong command of containerization (Docker/Kubernetes) and microservices architecture.
Data Architecture: Mastery of RESTful APIs and experience managing varied database schemas (SQL and NoSQL).

To apply online please use the 'apply' function, alternatively you may contact Evangeline.(EA: 94C3609/ R24124002)

about the role

End-to-End System Architecture: Design and scale high-performance full-stack systems that bridge the gap between physical assets and cloud-based platforms.
Applied Intelligence: Develop and deploy functional Machine Learning models focused on predictive analytics and pattern recognition within large-scale data streams.
Technical Integration: Oversee the secure flow of data between edge devices and centralized software, ensuring system integrity across the entire stack.
Performance Engineering: Act as a technical lead in optimizing system health and troubleshooting complex deployments in high-security, high-availability environments.
Technical Stewardship: Maintain ownership of software design patterns to ensure long-term scalability and robust security for a global user base.

skills & experience required

Experience: 3–5 years of professional software engineering experience within a complex, technical product environment.
Full-Stack Proficiency: Expert knowledge of modern frontend frameworks and backend languages (e.g., Python, Node.js, or Go).
Practical AI/ML: Hands-on experience implementing ML libraries (TensorFlow, PyTorch, etc.) for real-world data analysis.
Distributed Systems/IoT: Familiarity with edge computing, machine-to-machine (M2M) communication, and standard networking protocols.
Modern DevOps: Strong command of containerization (Docker/Kubernetes) and microservices architecture.
Data Architecture: Mastery of RESTful APIs and experience managing varied database schemas (SQL and NoSQL).

To apply online please use the 'apply' function, alternatively you may contact Evangeline.(EA: 94C3609/ R24124002)

skills
no additional skills required
qualifications
no additional qualifications required
education
Bachelor Degree

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evangeline tan

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full-stack engineer | industrial ai | edge systems.

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evangeline tan

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