Independently support business-critical applications, with responsibilities across development, production support, release activities, and continuous improvement.
Work closely with stakeholders to ensure system stability and service continuity, and mentor and guide a mid-to-senior-level developer.
Independently support business-critical applications
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The role is responsible for translating complex business requirements into technical specifications, process flows and solution designs, while contributing to architectural decisions for cloud-native applications. This includes working with microservices, APIs and event-driven architectures to ensure solutions align with established technology standards and system architecture.
The position requires hands-on development, testing and deployment of applications and integrations, with experience in Ruby on Rails and PostgreSQL or MySQL. It also involves supporting CI/CD pipelines, cloud-native deployments and Infrastructure as Code, while conducting technical investigations, debugging production issues, implementing fixes, and improving application stability and performance.
The role will participate in code reviews, quality assurance and UAT, while working closely with business and technical stakeholders to communicate solutions effectively. It also requires comprehensive technical documentation covering solution designs, configurations, processes, support procedures and APIs. Candidates should have a Bachelor’s degree in a relevant field and at least 3-5 years of IT experience, particularly in Business, Systems or Solution Analysis.
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We are seeking for Senior Engineers / Engineers, Persistency (Software – Embedded) for our client in Singapore. You will be part of a multinational team of engineers responsible for designing, developing and integrating software for UX products.
Major Responsibilities
· Involve in defining SW architecture & concepts for managing persistent memory, including the storage format, wear-levelling, data consistency, data security, rollback and robustness handling strategies.
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Design, build, test, deploy, and operate AI-enabled products and platform components across NEA.
Work on areas such as LLM integration, agentic workflows, evaluation harnesses, observability, guardrails, model access, retrieval/memory patterns, and multimodal AI use cases.
Take ambiguous operations problems and turn them into maintainable software with clear success metrics.
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Independently support business-critical applications, with responsibilities across development, production support, release activities, and continuous improvement.
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