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Graduate Full Stack Developer (Backend)
Graduate backend developer building subscriptions, payments, and analytics in Postgres and serverless functions, occasionally contributing to Flutter apps for a pre-launch startup in Sydney.
Full Stack Developer
Build and deploy cloud-native apps using .NET, ReactJS, and Terraform on AWS/Azure, while owning CI/CD pipelines and DevOps practices for scalable enterprise solutions.
DevOps engineer
Build and maintain DigiBoox’s cloud-native stack on GCP, Kubernetes, and Terraform, integrating Java apps and fintech APIs while setting up observability with OpenTelemetry and Grafana.
Senior Java Developer (ID:3535)
Build and maintain high-performance Java web apps and REST APIs, troubleshoot issues, and mentor junior devs while supporting Angular frontends and cloud-native systems.
Senior/Staff Software Engineer - Conversational AI
Build and lead production-grade conversational AI agents using LLMs, RAG, and guardrails, while owning the full stack and cloud infrastructure in a hands-on leadership role.
Software Engineer, AI Infrastructure
Builds and scales a serverless AI infrastructure platform, designing AI agent ecosystems, secure sandbox systems, and high-availability architectures for large-scale model inference and training.
Software Engineer, AI Infrastructure Singapore Regular
Build and scale ByteDance’s serverless AI infrastructure, designing secure sandboxes for large-model workloads and optimizing cold-start performance for AI agents and FaaS platforms.
AWS Data Engineer — PySpark, ETL & Cloud Automation
Designs and builds scalable AWS data pipelines and ETL workflows using PySpark, AWS Glue, and serverless components to power analytics and BI.
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Amazon Web Services (AWS) Senior Delivery Consultant - Data Engineering, AWS Professional Services
Design and implement scalable AWS data engineering solutions for enterprise customers, advising on analytics and ML workflows while leading cloud migrations and best practices.
Data Engineer: PySpark on AWS, CI/CD & Terraform
Build and maintain scalable data pipelines using PySpark on AWS, including ETL/ELT workflows with Glue and Step Functions, serverless automation with Lambda, and IaC with Terraform.
Software Engineer, AI Infrastructure
Builds and scales a serverless AI infrastructure platform, designing secure sandboxes for large-model inference and optimizing cold-start performance for AI agents.
AWS Data Engineer: PySpark, Lambda & Glue Pipelines
Designs and builds scalable AWS data pipelines using PySpark, AWS Glue, and serverless services to process and deliver data efficiently.
AWS Data Engineer
· Strong hands-on experience with PySpark and Python for data engineering. · Experience developing ETL pipelines using AWS Glue . · Proficiency with AWS Step Functions for workflow orchestration. · Experience building…
Data Engineer - KT
Design and build scalable cloud data pipelines and lakehouse architectures using Python, Spark, Kafka, and Airflow to power AI/ML workloads for a global fashion brand.
Backend / Cloud Engineer (Web3 Greenfield Project)
Build and operate a serverless, stablecoin-powered B2B fintech backend in Node.js/TypeScript on AWS, owning APIs, async jobs, and cloud infrastructure from design to deployment.
Senior Data Engineer – Singapore
Design and implement scalable cloud data architectures, lead Data Lakehouse development, and build ETL/ELT pipelines using Python, SQL, and Spark for a government-linked AI platform.
AWS Data Engineer: PySpark, Glue & Lambda Pipelines
Design and maintain scalable AWS data pipelines using PySpark, Glue, and Lambda to process large datasets and deliver analytics solutions.
Senior Data Engineer
Design and build scalable cloud data pipelines and lakehouse architectures using Python, Spark, Kafka, and AWS services to power AI/ML platforms.
Senior Software Engineer, Backend
Build and maintain scalable backend systems for a global financial markets infrastructure provider using Java, Spring Boot, and AWS.
Senior Data Engineer
Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing authority, using Python, Spark, Kafka, and AWS services.