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Software Engineer

at Qube

Back to all Data Engineering jobs
Qube logo
Hedge Funds

Software Engineer

at Qube

Mid LevelNo visa sponsorshipData Engineering

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join the data infrastructure team responsible for ingestion, processing and serving large-scale data systems used across the firm. You will design, review and implement services and clients, apply and evolve coding best practices, participate in design and code reviews, and work closely with stakeholders to meet technical and business needs. The role involves building high-performance server code, debugging and triaging system issues, and working with big-data technologies at scale.

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 QRT’s 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 join the data infrastructure team dedicated to the ingestion, processing and serving of large amounts of data at scale. Data is at the heart of everything QRT does, with exponentially growing needs. The candidate will push the edges of one of the most demanding data systems in the world, working on a variety of subjects such as real time pub sub, sharded databases and so on. 

Your future role within QRT:

  • Design, review and implement services and clients. 
  • Consistently apply and help evolve coding best practices: review peer code, lead or participate in design reviews, with a focus on code quality, testability, and efficiency. 
  • Work with stakeholders and customers to understand their business needs, technical needs, and react accordingly. 
  • Triage and investigate system issues and debug/track/resolve to ensure the robustness of our operations. 

Your present skillset:

  • Excellent knowledge of algorithms and data structures, as well as system design. 
  • Proficiency in at least one prominent server-side programming language (Python, Go, Rust, C++, Java, etc…). 
  • Experience writing high performance server code, multithreading, caching strategies, asynchronous IO, etc... 
  • An overall understanding of the big data landscape, knowing the design, strengths and drawbacks of tools such as Elasticsearch, Kafka, BigTable, Cassandra etc… 
  • Excellent communication and writing skills, with the ability to work effectively across teams and departments. 
     

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. 

 

Software Engineer

at Qube

Back to all Data Engineering jobs
Qube logo
Hedge Funds

Software Engineer

at Qube

Mid LevelNo visa sponsorshipData Engineering

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join the data infrastructure team responsible for ingestion, processing and serving large-scale data systems used across the firm. You will design, review and implement services and clients, apply and evolve coding best practices, participate in design and code reviews, and work closely with stakeholders to meet technical and business needs. The role involves building high-performance server code, debugging and triaging system issues, and working with big-data technologies at scale.

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 QRT’s 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 join the data infrastructure team dedicated to the ingestion, processing and serving of large amounts of data at scale. Data is at the heart of everything QRT does, with exponentially growing needs. The candidate will push the edges of one of the most demanding data systems in the world, working on a variety of subjects such as real time pub sub, sharded databases and so on. 

Your future role within QRT:

  • Design, review and implement services and clients. 
  • Consistently apply and help evolve coding best practices: review peer code, lead or participate in design reviews, with a focus on code quality, testability, and efficiency. 
  • Work with stakeholders and customers to understand their business needs, technical needs, and react accordingly. 
  • Triage and investigate system issues and debug/track/resolve to ensure the robustness of our operations. 

Your present skillset:

  • Excellent knowledge of algorithms and data structures, as well as system design. 
  • Proficiency in at least one prominent server-side programming language (Python, Go, Rust, C++, Java, etc…). 
  • Experience writing high performance server code, multithreading, caching strategies, asynchronous IO, etc... 
  • An overall understanding of the big data landscape, knowing the design, strengths and drawbacks of tools such as Elasticsearch, Kafka, BigTable, Cassandra etc… 
  • Excellent communication and writing skills, with the ability to work effectively across teams and departments. 
     

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.