Tech jobs
Job listings
Data Engineer
Build and maintain cloud data pipelines in Python to ingest and store telemetry from autonomous marine vehicles, enabling analytics and Grafana dashboards for operations and engineering teams.
Data Engineer
Build and maintain scalable data pipelines for Helfie.ai’s AI-powered preventative healthcare platform, transforming raw health data into real-time insights and analytics.
SOFTWARE DEVELOPER SPECIALIST - JAVA
Develops, maintains, and scales RESTful APIs and back-end services using Java, Spring Boot, and Micronaut for a digital banking platform, collaborating with front-end teams and ensuring code quality.
Senior DevOps Engineer
Own and scale Newton Research’s multi-cloud Kubernetes platform, deploying AI-powered media workflows across AWS, Azure, and GCP with GitOps, Terraform, and observability tooling.
Senior Data Engineer
Build and maintain robust ETL pipelines and cloud data infrastructure to ensure high-quality, reliable data flows for analytics and decision-making using AWS, Python, and modern data stack tools.
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.
Java Developer | Randstad
Build and maintain Java applications using Spring Boot and microservices, then grow into a DevOps role with CI/CD and cloud platforms.
Senior Java Developer - NL
Senior Java developer building back-end and full-stack solutions with Java 17–21+, Spring Boot, and cloud-native tools for finance, government, retail, and healthcare clients.
6196 / Programista Backend Java / Senior / 2 / id: 4569; id: 4570
Senior backend Java developer building and maintaining microservices for a leading Polish bank using Spring Boot, Kafka, Docker, and Kubernetes.
Data Scientist (AI/ML) | Contract | Financial Services
Design and deploy AI/ML models (Generative AI, NLP, recommendations) for financial services, building scalable pipelines and driving end-to-end solutions from modeling to production.
Senior Machine Learning Engineer
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
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.
Software Engineer (AI Assistant Product)
Build and maintain a production AI-powered internal chat assistant using full-stack web tech (React, Spring Boot/Java) to boost staff productivity across a Singapore government agency.
Senior Data Engineer
Working Hours: Monday – Friday (10am – 7pm) Location: Tanjong Pagar Salary: Up to $9,000 + AWS + VB As a Senior Data Engineer, you will design, build, and optimize high-performance data pipelines and platforms powering…
Quantexa Data Engineer #sn
Build and optimize big-data pipelines using Spark, Scala, Elasticsearch, and OpenShift to support analytics and compliance in a finance context.
Software Engineer 2 - Backend - Behavioral Security Products
Build and scale backend services in Go for a cybersecurity platform that detects and mitigates email and collaboration threats for large enterprises.
Software Engineer (BackEnd) - A26202
Backend engineer building scalable, secure APIs and cloud-native services for Singapore government agencies using Node.js/NestJS, Java/C#, and cloud platforms.
Senior Software Engineer, Backend - Onboarding
Build and scale backend microservices in Java/Kotlin for Airwallex’s global payments platform, focusing on onboarding, KYC, and secure financial integrations.
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.
Senior Data Engineer (AI)
Design and maintain scalable data pipelines and lakehouse architectures to power AI models and analytics dashboards, using AWS, Databricks, and Snowflake.