Production Engineer (Ma) - Sydney
Qube Research & Technologies
Sydney
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven organisation applying a scientific approach to investing. By combining data, research, technology and trading expertise, we foster a collaborative culture that enables us to solve complex challenges and deliver high-quality returns for our investors.
Your future role within QRT
We are seeking a motivated and versatile Production Support Engineer to join our Sydney office. This permanent role suits candidates who thrive in fast-paced environments, enjoy supporting multiple technology domains (Trading Tools or Market Access), and are driven by operational excellence and technical innovation.
Key Responsibilities
Production Support (50%)
- Provide user and system support across multiple technology streams.
- Monitor, maintain and troubleshoot production systems, with a focus on data platforms and trading infrastructure.
- Respond to incidents and service requests, diagnosing issues affecting data flows, trading applications and related systems.
- Perform daily health checks of trading and data systems before market open.
- Manage and maintain static and dynamic databases, including resolving data integrity issues.
- Work with development and business teams to resolve pre-trade issues and implement improvements.
- Support application releases, including deployment, validation and rollback procedures.
- Maintain operational documentation and ensure adherence to internal controls and best practices.
- Participate in root cause analysis and collaborate with global teams to resolve complex incidents.
- Provide out-of-hours support when required.
Development & Automation (50%)
- Develop automation tools to improve operational workflows.
- Build scripts and applications for monitoring, alerting, data quality checks and recovery processes.
- Contribute to initiatives involving cloud platforms, CI/CD pipelines and system optimisation.
Required Skills & Experience
- 3+ years’ experience in technical support, ideally within trading or market access environments.
- Scripting experience in Python, Bash or PowerShell.
- Experience with Windows and Linux administration.
- Strong relational database knowledge (SQL Server, PostgreSQL).
- Experience supporting trading systems or financial market infrastructure.
- Strong analytical, problem-solving and communication skills with a strong sense of ownership.
Preferred Attributes
- Interest in supporting diverse technology areas and learning new domains.
- Ability to work independently and within global teams.
- Proactive approach to automation and process improvement.
- Experience with AWS or other cloud platforms.
- Exposure to crypto assets or crypto markets.
QRT is an equal opportunity employer. We value diversity and foster an open, respectful environment that supports collaboration, professional growth and a healthy work-life balance.
Similar jobs
Data Support Engineer
Data Support Engineer – SydneyQube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating acr...
Senior Platform Security Engineer
AI FactoryOS Operations AI FactoryOS is Firmus' proprietary operating system for the AI Factory. It governs GPU telemetry, cooling, power...
Principal Platform Identity Engineer
AI FactoryOS Operations AI FactoryOS is Firmus' proprietary operating system for the AI Factory. It governs GPU telemetry, cooling, power...
Senior Kubernetes Platform Engineer
AI FactoryOS Operations AI FactoryOS is Firmus' proprietary operating system for the AI Factory. It governs GPU telemetry, cooling, power...
Senior Applied Ai Engineer
We’re big believers in the power of IRL, so for most roles we ask Campers to work from their local Culture Amp office an average of 2 day...
Production Trading Services – Electronic Trading
Production Trading Services – Electronic Trading, SydneyQube Research & Technologies (QRT) is a global quantitative and systematic invest...