Home
Jobs
GIOS Technology Limited
Cloud Engineer – Fraud Detection (AWS, Data bricks)

Cloud Engineer – Fraud Detection (AWS, Data bricks)

Hybrid

Northampton, United kingdom

£ 50 /hour

Freelance

30-01-2026

Share this job:

Score my CV

Skills

Communication Java GitHub GitLab CI/CD Jenkins Databases node.js AWS Junit Gitlab CI Kafka Microservices GitHub Actions Data Bricks

Job Specifications

I am hiring for Cloud Engineer – Fraud Detection (AWS, Data bricks)

Location: Northampton - Hybrid / 2-3 days Per week in Office

Hands-on experience with AWS, particularly cloud-native databases, relational data stores, and caching technologies.
Experience working with Kafka for real-time data streaming and event-driven architectures.
Proficiency in Node.js development on AWS.
Solid backend development experience using Java.
Hands-on experience building and operating microservices-based distributed systems, including service orchestration and inter-service communication.
Strong focus on performance, scalability, and code quality, with an emphasis on clean, maintainable, and testable code.
CI/CD experience using tools such as Jenkins, GitHub Actions, GitLab CI, or similar.
Good understanding of secure development practices, data protection principles, and experience working in regulated environments.
Strong testing discipline, including unit, integration, and automated testing using frameworks such as JUnit, Jest, PyTest, etc.

Key Skills: Fraud Detection / AWS / Java / Node.js / Microservices / Automated testing / Data bricks

About the Company

Welcome to GIOS: Your Partner in Innovation. At GIOS Technology, we are committed to driving innovation and delivering exceptional solutions to clients worldwide. With a global presence spanning multiple countries, we cater to both private and public sector clients, providing comprehensive support and executing projects that meet their diverse needs. Our strength is built on Collaboration, by harnessing our internal expertise and partnering with leading technology vendors such as Elastic, Qlik, AWS, Google, Microsoft, Orac... Know more