Full-Stack Engineer | Industrial AI | Edge Systems

Randstad
SG
On-site

Job Description

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)

skills

no additional skills required

qualifications

no additional qualifications required

education

Bachelor Degree

Skills & Requirements

Technical Skills

PythonNode.jsGoTensorflowPytorchDockerKubernetesRestful apisSqlNosqlRisk managementDigital systemsEdge computingMachine-to-machine communicationNetworking protocols

Level

mid

Posted

4/5/2026

Apply Now

You will be redirected to Randstad's application portal.