Trading Tech Cloud Engineer (Azure, Data Pipelines)

Gunvor Singapore Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Gunvor Singapore Pte Ltd seeks a Desk Developer to operate and optimize our cloud and data infrastructure, focusing on Azure-based workloads for trading activities.

You will build data pipelines, implement CI/CD with containerization, and collaborate with traders to back-test models and improve P&L reporting. You will document workflows and contribute to automating risk-reducing processes in a fast-paced trading environment.

Qualifications

• Minimum 3 years’ experience in data engineering, trading systems, or financial technology.
• Experience designing or implementing trading execution algorithms, preferably in crypto or other electronic markets.
• Solid understanding of order book dynamics, liquidity, and market microstructure.

Responsibilities

• Operate and optimize cloud infrastructure (primarily Microsoft Azure).
• Implement CI/CD pipelines, containerization, and automated deployment strategies.
• Build and maintain data pipelines for market, weather, and operational datasets.
• Integrate external data sources into internal trading systems and databases.
• Assist in developing, back-testing, and deploying machine learning and quantitative models.
• Provide real-time technical support to traders and originators.
• Develop tools for trade capture, position management, and P&L reporting.
• Automate workflows to reduce operational risk.
• Document systems, processes, and model assumptions
• Perform other ad-hoc duties assigned by manager

Skills

Python

C#

Java

Trading knowledge

Problem solving

Education

Bachelor’s degree in CS/Engineering/Math

Tools

Azure

Databricks

Spark

SQL

Kubernetes

Terraform

Ansible

ELK

React

.NET 8

Containerization

Job description

Gunvor Singapore Pte Ltd seeks a Desk Developer to operate and optimize our cloud and data infrastructure, focusing on Azure-based workloads for trading activities.

You will build data pipelines, implement CI/CD with containerization, and collaborate with traders to back-test models and improve P&L reporting. You will document workflows and contribute to automating risk-reducing processes in a fast-paced trading environment.