Trading Systems Engineer
Qube Research & Technologies
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This role on the market
301 open trading roles across 57 companies are on ApplySarthi right now, most of them in Mumbai (5), Bengaluru (2), Delhi NCR (1).
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What trading roles keep asking for: Python (37%), Java (18%), Machine learning (18%), SQL (17%), C++ (17%), System design (15%), Stakeholder management (14%), Linux (13%) — counted across their open postings here.
AWS jobs · Airflow jobs · C++ jobs · CI/CD jobs
Qube Research & Technologies has 210 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for trading roles keep coming back to Python, Java, Machine learning, SQL. Practise those questions before you sit with Qube Research & Technologies.
Questions you are likely to be asked
- Why do you want to join Qube Research & Technologies?
- What is your experience with System design? Tell me one thing you learned the hard way.
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
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Practise the Trading Systems Engineer at Qube Research & Technologies interview free →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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Listed on greenhouse · posted 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Qube Research & Technologies, not by us.