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Senior data engineer at Xiaomi in Singapore who leads the design and evolution of the overseas data warehouse and data platform across mobile, IoT, and app data. Builds batch and real-time pipelines with Spark/Flink, defines DW architecture and governance, applies ML/NLP to large-scale data, and mentors junior engineers.
Fullstack developer in Singapore building and scaling high-throughput platforms for critical digital transactions and data flows. Owns end-to-end system design, testing, observability, and infrastructure-as-code, with a core stack of TypeScript, Node.js, React, Golang, SQL, cloud platforms, and Terraform.
Founding DevOps Expert in a new digital infrastructure team serving the private banking sector, reporting to the Head of Digital Infrastructure. Day to day: designing and running Docker/Kubernetes/OpenShift infrastructure, building industrialized CI/CD pipelines (Jenkins, GitLab CI), automating deployments, and driving DevOps adoption and container security.
hey rocket (recruiting for a client) seeks a Full Stack Engineer with 5–8 years' experience in Changi, Singapore to build secure, scalable applications on AWS. Day to day: coding in Python/TypeScript/React, building GitLab CI/CD pipelines, provisioning infra with Terraform, and implementing security, monitoring, and government-compliance standards.
Contract full-stack engineer role in Singapore building secure, cloud-native applications for government digital services. Frontend work in React/TypeScript, backend in Node.js, Golang or Python (Django/FastAPI), deployed on AWS with Docker, CI/CD, plus data processing and AI-enabled features.
Zenika Singapore hires full stack consultants deployed to client projects to build and operate web applications end-to-end using the MERN stack, Python, REST APIs, microservices, and Docker/Kubernetes, including AI/data-driven features. Requires 3+ years of full stack experience and comfort embedding with diverse client teams in a hybrid work setup.
Builds full-stack web applications, APIs, and GenAI features (RAG, chatbots, AI agents) for enterprise solutions, using React/Angular/Vue.js frontends with Node.js, Python, or Golang backends, deployed via Docker, Kubernetes, and cloud platforms, while leveraging AI coding assistants like Copilot and Claude Code.
DevOps/DevSecOps engineer (5+ years) in Singapore supporting platform operations, maintenance, and development. Core stack includes CI/CD (GitHub Actions, GitLab), JFrog/Nexus artifact management, supply-chain security tooling, Terraform, and AWS/Azure cloud.
Senior Data Engineer at Mirae Asset Securities (Singapore) designing and operating the data backbone for the group's global investment and trading platform — building Snowflake and Airflow pipelines to ingest, validate, and serve global market data from vendors like Bloomberg, flowing into real investment decisions.
Software Engineer in Singapore building backend services and digital-channel web applications with Java/Python, Spring Boot/PySpark, Spring Cloud, Kafka, Docker and Kubernetes, plus Angular/TypeScript micro-frontend UIs; also works with CI/CD, observability, secure coding and code reviews.
Full stack engineer in Singapore building a Gross-to-Net (GTN) calculation platform: a high-performance React/AG Grid spreadsheet-like UI, Python/Node.js REST backend with waterfall calculations and L0–L3 approval workflows, plus Cloud SQL/BigQuery and Azure AD SSO integration. Requires 6–8 years of full stack experience.
Backend-focused full-stack engineer on an enterprise team designing and enhancing internal business-critical systems. Day to day: building Java/Kotlin backend services with MS SQL Server or PostgreSQL, plus some React/TypeScript frontend work, code reviews, and independent troubleshooting.
Senior data engineer building and operating scalable batch and streaming data pipelines plus RAG/knowledge-base data solutions (embeddings, vectorisation) for a Singapore enterprise's AI transformation, using Python, SQL, Apache Spark, and cloud data platforms like Databricks, Kafka, and Delta Lake.
Senior Data Engineer building scalable data pipelines and ETL workflows on Databricks (AWS) using PySpark and Python, including refactoring Informatica workflows, optimizing pipelines, and delivering quality data for analytics and data science teams.
Software engineer at Avensys Services in Singapore designing, developing, and delivering working software applications for clients, with emphasis on quality practices like code review, unit testing, and test automation. Flexible stack across Java, NodeJS, Ruby on Rails, .NET, and React, working in agile XP-style teams.
Senior Data Engineer in Singapore (8-12 yrs experience) building large-scale Data Lake/Lakehouse platforms and data products using Spark/PySpark, Databricks/Snowflake, cloud platforms (AWS/Azure/GCP), streaming (Kafka/Flink), table formats (Iceberg/Hudi/Delta), and Kubernetes-based CI/CD tooling, with some NLP/ML and full-stack Python work.
Software Engineer in Thales's Singapore Embedded Product Development team designs, validates, and deploys embedded software (security mechanisms, next-gen IoT connectivity protocols) for mobile and IoT devices in mobile payment, digital identity, and IoT applications. Core stack: Embedded C, VB.NET, Java, microcontrollers, and low-level protocols.
A Singapore-based software engineer role focused on designing, developing, testing, and maintaining scalable Java applications, including RESTful APIs and microservices. Work involves unit testing/TDD, Git-based version control, and active participation in Agile ceremonies.
Senior Data Engineer in Singapore (on-site) building enterprise Lakehouse, data product, and data marketplace platforms. Day to day: designing batch, streaming, CDC, and GenAI/RAG-ready pipelines using Databricks, Spark/PySpark, Python, SQL, open table formats (Iceberg/Hudi/Delta), and CI/CD tooling on cloud platforms like Azure, AWS, or GCP.
Software engineer role centered on application support of Java/J2EE systems at an IT consulting firm in Singapore: troubleshooting with Unix/Linux commands, SQL queries, batch jobs, JBoss, MariaDB and shell scripts, plus MQ/job-scheduling setups, while meeting support SLAs for clients that include banking and financial services.
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