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About Custera Pte. Ltd.
Custera Pte. Ltd. is an engineering solutions company specialising in the maintenance, renewal, and monitoring of critical infrastructure assets. We combine advanced engineering expertise with intelligent monitoring systems to extend asset life, enhance reliability, and ensure operational safety.
Our work spans across sectors such as civil infrastructure, delivering sustainable solutions that integrate design innovation, digital technologies, and on-ground execution excellence.
At Custera, we believe in engineering with foresight- applying data-driven insights and multidisciplinary collaboration to manage infrastructure smarter, safer, and more efficiently.
Why Join Custera
Role Summary:
We are seeking a proactive, capable Engineer to join the technology/engineering team under the CTO. The successful candidate will assist in the design, development, deployment and maintenance of technical solutions, participate in architecture and implementation, and collaborate across disciplines to deliver high-quality outcomes.
Key Responsibilities
Qualifications & Skills
Job ID: 132820859
Skills:
Ruby On Rails, Javascript, Data Modelling, Python, source control practices, Relational Databases, non-relational databases, query optimisation, Microsoft technology stacks, dependency management tools
Skills:
.NET Development, Sharepoint Online, Power Bi, Power Automate, Microsoft Sql Server, Sharepoint Administration, Azure Active Directory, ASP.NET, Rest Apis, SharePoint Subscription Editions, Microsoft Entra ID, Power Apps, Microsoft 365 ecosystem, Microsoft Power Platform, SharePoint migration projects
Skills:
Java, Tcp, CSS, Kafka, Nodejs, Shell Scripting, Json, Ldap, Dns, Https, Git, REST, Javascript, Html5, Elasticsearch, Python, Ip, Java Spring Boot, SQL databases
Skills:
Java, Golang, Apis, Php, Python, AI-native products, LLMs, software architecture principles, modern AI tools, distributed systems design patterns, RAG agents, domain-driven design
Skills:
Apis, Machine Learning, Numpy, XGBoost, Pandas, AI/ML Model Deployment, LightGBM, LangChain, Feature Engineering, Ai, Scikit-learn, Llm
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