Tech jobs
Job listings
Data Engineer
Build and maintain scalable data pipelines and cloud-based data platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Senior Full-Stack Engineer - Automation & Integrations
Build and maintain a full-stack automation platform for email and LinkedIn workflows using PHP, React, PostgreSQL, and AWS, while owning infrastructure and integrations.
Senior Data Engineer (SQL, AWS) - SPVL
Design and optimize high-performance data pipelines and platforms using SQL, Python, AWS, and Spark to power analytics, dashboards, and AI models.
Data Architect (AI)
Design and optimize a high-performance data platform to power analytics, dashboards, and AI models, leveraging AWS tools like Redshift, Glue, and SageMaker.
M15 - Data Engineer (AWS Data Platform)
Build and maintain AWS-based data pipelines and warehouses using Glue, Redshift, and S3, with CI/CD and IaC for scalable ETL/ELT workflows.
Senior AI and Software Engineer
Architect and build an AI-driven logistics engine for a last-mile delivery network, designing distributed systems, ML pipelines, and real-time routing logic in Python on AWS.
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…
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.
Data Engineer (CSC)
Design and maintain enterprise data architecture, build scalable pipelines, and lead governance for a Singapore government agency using AWS and data modeling tools.
Data Engineer, Data and AI Office (DAO) - 2 Two-Year Contract
Builds and maintains data pipelines and infrastructure for a Singapore government learning institution, integrating APIs and optimizing cloud-based storage for analytics and reporting.
Principal Data Engineer
Principal Data Engineer designs and builds cloud-native data pipelines and curated datasets on AWS and Snowflake to enable trusted, self-service analytics across business domains.
Application Engineer (Financial Services/ Backend support)
Provide application support and backend development for enterprise insurance systems using Java, Python, and AWS, ensuring system reliability and security.
Senior Backend Software Engineer
Build and optimize scalable backend services and cloud-native solutions using Java Spring Boot and AWS for government digital services and enterprise applications.
Data Engineer (ACRA)
Design and build Singapore’s government-wide data infrastructure, including Databricks-based Lakehouse pipelines and governance tooling, to securely share and derive value from public-sector data.
Data Engineer
Build and optimize AWS-based data pipelines and Redshift warehouses for a government project, using Python, SQL, and DevOps practices to ensure secure, scalable data infrastructure.
Senior Software Engineer, Backend
Build and deploy backend services for AI-powered digital surgery applications using Python and AWS, integrating ML models across cloud and on-prem environments.
Software Engineer (Back-End) - A26261
Build and maintain secure backend services for a cloud-based digital platform using Node.js, TypeScript, and PostgreSQL, with AWS deployment and CI/CD pipelines.
Data Engineer (AWS, PySpark)
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Senior Backend Software Engineer - Nas.com
Build and scale the backend for a fast-growing creator platform using Node.js/Python, MongoDB, Redis, and AWS, ensuring reliability and performance in a global, async environment.
Remote Backend Engineer – Global Distributed Systems
Builds and maintains scalable backend services for a global e-commerce platform, working with distributed systems like retail transactions and order management using AWS, MongoDB, Kafka, and Elasticsearch.