Full-Stack Engineer | Industrial AI | Edge Systems

stable environment, high-impact technical ownership.

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)