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Production Support Engineer - AI & LLM

at Qube

Back to all Python jobs
Qube logo
Industry not specified

Production Support Engineer - AI & LLM

at Qube

Mid LevelNo visa sponsorshipPython

Posted 3 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Production Support Engineer - AI & LLM** Sustains trading system stability & performance at Qube Research & Technologies (QRT), a global quantitative investment manager. Key duties: user support, issue diagnosis, ensuring reliable trading workflows across multiple markets. Interacts with diverse stakeholders, managing trading infrastructure and supporting systems. Requires 3+ years' experience in system support, proficiency in Linux, Python, SQL, familiarity with trading systems, and excellent communication skills.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a group driven by technology and data, 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.

You will work within a production support function responsible for maintaining the stability and performance of trading systems and supporting infrastructure. The role focuses on providing direct support to users, investigating system issues, and ensuring the reliability of trading workflows across multiple markets. You will interact with internal and external stakeholders to manage both trading infrastructure and supporting systems on a daily basis.

Your future role within QRT

  • Provide user support for investigation and resolution of issues impacting front office trading flows and LLM based systems
  • Monitor and maintain trading infrastructure to ensure system availability and stability
  • Support trading platforms across Windows and Linux environments
  • Ensure all trading components are operational before the start of each trading day
  • Coordinate with engineering and business teams to resolve incidents and minimise disruption
  • Support release management processes to maintain a stable production environment
  • Maintain and support databases and associated processes
  • Develop tools to improve monitoring and operational visibility
  • Contribute to the design and implementation of monitoring, dashboards and alerting solutions
  • Participate in on call support including evening and weekend coverage when required

Your present skillset

  • Experience supporting trading systems including manual trading applications, algorithmic trading platforms, connectivity systems and risk systems
  • Understanding of monitoring metrics and ability to analyse system data
  • Familiarity with large language model (LLM) concepts and hosting environments
  • Strong experience with Windows and Linux system administration
  • Proficiency in scripting using Bash, PowerShell, Command Prompt or Python
  • Solid experience with relational databases such as SQL Server or PostgreSQL
  • Strong problem solving ability and ownership of issue resolution
  • Experience working in production support roles within fast paced environments
  • Ability to communicate effectively with technical teams and business users
  • Experience managing expectations of traders or senior stakeholders is beneficial
  • Knowledge of financial markets including Equities, Futures, Commodities or Foreign Exchange is beneficial
  • Familiarity with market data systems, execution systems or algorithmic trading is beneficial

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work life balance.

Production Support Engineer - AI & LLM

at Qube

Back to all Python jobs
Qube logo
Industry not specified

Production Support Engineer - AI & LLM

at Qube

Mid LevelNo visa sponsorshipPython

Posted 3 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Production Support Engineer - AI & LLM** Sustains trading system stability & performance at Qube Research & Technologies (QRT), a global quantitative investment manager. Key duties: user support, issue diagnosis, ensuring reliable trading workflows across multiple markets. Interacts with diverse stakeholders, managing trading infrastructure and supporting systems. Requires 3+ years' experience in system support, proficiency in Linux, Python, SQL, familiarity with trading systems, and excellent communication skills.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a group driven by technology and data, 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.

You will work within a production support function responsible for maintaining the stability and performance of trading systems and supporting infrastructure. The role focuses on providing direct support to users, investigating system issues, and ensuring the reliability of trading workflows across multiple markets. You will interact with internal and external stakeholders to manage both trading infrastructure and supporting systems on a daily basis.

Your future role within QRT

  • Provide user support for investigation and resolution of issues impacting front office trading flows and LLM based systems
  • Monitor and maintain trading infrastructure to ensure system availability and stability
  • Support trading platforms across Windows and Linux environments
  • Ensure all trading components are operational before the start of each trading day
  • Coordinate with engineering and business teams to resolve incidents and minimise disruption
  • Support release management processes to maintain a stable production environment
  • Maintain and support databases and associated processes
  • Develop tools to improve monitoring and operational visibility
  • Contribute to the design and implementation of monitoring, dashboards and alerting solutions
  • Participate in on call support including evening and weekend coverage when required

Your present skillset

  • Experience supporting trading systems including manual trading applications, algorithmic trading platforms, connectivity systems and risk systems
  • Understanding of monitoring metrics and ability to analyse system data
  • Familiarity with large language model (LLM) concepts and hosting environments
  • Strong experience with Windows and Linux system administration
  • Proficiency in scripting using Bash, PowerShell, Command Prompt or Python
  • Solid experience with relational databases such as SQL Server or PostgreSQL
  • Strong problem solving ability and ownership of issue resolution
  • Experience working in production support roles within fast paced environments
  • Ability to communicate effectively with technical teams and business users
  • Experience managing expectations of traders or senior stakeholders is beneficial
  • Knowledge of financial markets including Equities, Futures, Commodities or Foreign Exchange is beneficial
  • Familiarity with market data systems, execution systems or algorithmic trading is beneficial

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work life balance.

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