Trading Tech Cloud Engineer (Azure, Data Pipelines)

Gunvor Singapore Pte Ltd

Singapore

On-site

SGD 90,000 - 130,000

Full time

10 days ago
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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.

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