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Open nowPosted 2 hours agoWe saw it 42 min after it went up

Trading Systems Engineer

Qube Research & Technologies206 open roles

Pay
$180,000 – $300,000 a year
Where
New York
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Your applicationOpen nowTrading Systems EngineerQube Research & Technologies · New York

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Qube Research & Technologies's own form.

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Qube Research & Technologies postings stay open a median of 28 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 2 hours ago

Qube Research & Technologies median: 28 days open

The posting

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.

We are looking for an experienced Trading Systems Software Engineer to help build the applications, platforms and engineering capabilities that support QRT’s global trading environment.

This is a broad software engineering role spanning application development, distributed systems, cloud technology, deployment automation and production engineering. You will design and build software used by traders, quantitative researchers, operations teams and other engineers across the firm.

Your Future Role within QRT

  • Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform.
  • Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams.
  • Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows.
  • Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure.
  • Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate.
  • Develop automated workflows for data processing, operational tasks and engineering processes using technologies such as Apache Airflow.
  • Partner with traders, quantitative researchers and operations teams to understand their needs and solve practical business problems.
  • Design software for latency-sensitive environments, balancing performance with reliability, scalability and operational simplicity.
  • Build observable and resilient systems with appropriate monitoring, alerting, recovery and failure-handling capabilities.
  • Work alongside infrastructure, cloud and DevOps engineers to deploy and support software across global production environments.
  • Contribute to technical design and architectural decisions, evaluating new technologies where they can deliver meaningful value.
  • Take ownership of software throughout its lifecycle, from initial design and implementation through to production support and continuous improvement.

Your present skillset

  • At least five years of experience developing and supporting production-grade software.
  • Strong programming and software engineering skills in one or more languages such as Python, Java, Go, Node.js or C++.
  • Experience designing maintainable, testable and scalable applications and services.
  • A strong understanding of software design principles, data structures, algorithms and engineering fundamentals.
  • Experience building RESTful APIs, distributed systems or event-driven architectures.
  • Exposure to containerisation, orchestration and delivery technologies such as Docker, Kubernetes and CI/CD pipelines.
  • Experience with public cloud technologies, preferably AWS.
  • An understanding of messaging technologies such as Kafka or RabbitMQ.
  • Experience considering reliability, observability, performance and failure recovery when designing production systems.
  • Strong analytical and problem-solving skills, with the ability to make sound engineering decisions and explain the associated trade-offs.
  • The ability to work effectively with both technical and non-technical stakeholders.

Base salary range for this position is $180,000 to $300,000 per year.

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

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