Cloud DevOps Engineer
Qube Research & Technologies - Hong Kong, Singapore
Posted Mar 6, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
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Market context
- Median wage (BLS OEWS)
- $116,543 national median
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Cloud DevOps Engineer Hong Kong, Singapore Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Team & Role Overview We are seeking a highly skilled and experienced technologist to work in our Cloud Service & Tools team. This team is responsible for deploying, maintaining and supporting companywide tools available in a distributed cloud and on-premises environment. As part of the Service & Tools team, you'll be working on tools like Gitlab, Kubernetes, as well as in house systems, and more generally on AWS administration. Your present skillset - Kubernetes and container knowledge (EKS, Podman, Docker) - Developing and troubleshooting CI/CD (Gitlab CI is a plus) - Infrastructure as code, automated configuration languages and tools such as Terraform and Ansible - Experience of developing, monitoring and supporting distributed systems in production (tools like Cloudwatch, Coralogix or Open Telemetry are a plus) - Understanding of Linux OS, particularly RHEL/Rocky 9 - Good understanding of core AWS services - VPC security and networking - EC2 configuration and scaling - Storage services S3, EFS, EBS and FSx - IAM - Knowledge of administration for the following tools is a plus
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