Digital Solutions Engineer - Platform Services (Cloud Backend)

Location: Singapore-Yishun

Company

hirify.global develops digital platforms that support intelligent operations, enterprise systems, manufacturing, supply chain, and AI-enabled solutions across its global operations.

What you will do

• Design, develop, and maintain scalable backend services, reusable APIs, microservices, and shared platform capabilities.
• Build integration services connecting ERP, MES, PLM, quality systems, AI platforms, enterprise applications, and cloud services.
• Implement API-first, event-driven, and asynchronous communication patterns for reliable information exchange.
• Develop cloud-native applications with containerized deployments, automated testing, and CI/CD pipelines.
• Implement authentication, authorization, API security, monitoring, logging, observability, fault tolerance, and high availability.
• Collaborate with application, data, AI, Smart Factory, and business teams through architecture reviews, code reviews, and Agile delivery.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
• Experience developing backend applications, APIs, or enterprise software platforms.
• Proficiency in one or more modern programming languages such as C#, Python, or Java.
• Understanding of API development, system integration, relational databases, cloud computing, and distributed application architecture.
• Strong analytical, problem-solving, communication, collaboration, ownership, and continuous-improvement skills.
• Technology environment includes .NET, Python, Node, REST, GraphQL, gRPC, OAuth 2.0, OpenID Connect, Azure, AWS, Docker, Kubernetes, Kafka, SQL Server, PostgreSQL, MongoDB, and Redis.

Nice to have

• Experience with cloud-native development on Azure or AWS, microservices, event-driven architecture, Docker, Kubernetes, enterprise integration patterns, CI/CD, DevOps, IAM, or manufacturing software platforms.
• Experience with GraphQL, gRPC, Node, RabbitMQ, Redis, Prometheus, or related technologies.

Culture & Benefits

• Full-time daytime schedule with no stated end date.
• Occasional travel may be required.
• Work with multidisciplinary engineering teams across software engineering, enterprise data, AI, industrial automation, cloud, and Smart Factory domains.
• Role scope and technical ownership are aligned with the candidate’s experience and demonstrated capabilities.