Software Engineer - Data Lifecycle
Qube Research & Technologies
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This role on the market
272 open lifecycle roles across 93 companies are on ApplySarthi right now, most of them in Mumbai (21), Bengaluru (13), Hyderabad (10).
- Senior Lifecycle Marketing ManagerJobgether
- Senior CRM Manager:in (Lifecycle & Retention) I E-Commerce I Growth I Achim, hybridKleines Kraftwerk DE GmbH
- Senior Product Manager - Consumer LifecycleSumUp
- Payment Lifecycle Manager - Vice PresidentJPMorgan · mumbai
- Supply Chain Manager, New Product Introduction and Lifecycle ManagementAbbott
What lifecycle roles keep asking for: CRM (16%), AWS (14%) — counted across their open postings here.
Software Engineer jobs in the United Kingdom · Software Engineer jobs in London · Remote Software Engineer jobs · C# jobs · CI/CD jobs · Python jobs · SQL jobs
Qube Research & Technologies has 199 open roles listed here.
- Data Support Engineer
- Data Scientist - Market Data
- Energy Trading Full Stack Engineer – Spark
- Quantitative Developer - Pre/Post-Trade Analytics
- Quantitative Developer - Python
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for lifecycle roles keep coming back to CRM, AWS. 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 CI/CD? Tell me one thing you learned the hard way.
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
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Practise the Software Engineer - Data Lifecycle at Qube Research & Technologies interview free →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 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 join QRT’s Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making.
Your role at QRT
This is primarily a hands-on engineering role (≈80% development), with a smaller component (≈20% support and system ownership) focused on maintaining robustness, reliability, and data quality in production.
You’ll work closely with trading, research, risk, and operations teams, gaining strong exposure to the business while building scalable, high-performance systems.
What you’ll work on
- Designing and building scalable, high-performance systems for trade and position lifecycle management
- Developing solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes
- Building and maintaining high-quality reference data platforms used across trading and research
- Delivering real-time and end-of-day reporting pipelines for internal and external stakeholders
- Ensuring data accuracy, integrity, and consistency across systems and workflows
- Contributing to system validation, controls, and operational robustness, including alignment with brokers and fund administrators
- Collaborating closely with stakeholders to translate business needs into reliable technical solutions
- Writing well-tested, maintainable code and contributing to CI/CD and deployment pipelines
- Supporting production systems and continuously improving reliability, monitoring, and performance
What we’re looking for
- 5–10 years of software engineering experience, ideally in a high-performance or data-intensive environment
- Strong programming skills in Python (experience with C# is a plus)
- Solid understanding of software design, architecture, and scalable systems
- Experience working with SQL and relational databases
- Familiarity with testing frameworks and CI/CD practices
Domain experience (one or more is valuable, not required). We’re interested in engineers with exposure to financial markets, particularly:
- Trade and position lifecycle systems
- Equities, ETFs, futures, or options
- Corporate actions and reference data
- Market structure and exchange-specific behaviour
Deep expertise in a single asset class is not required—but an interest in learning and working in a trading environment is important.
What will set you apart
- Experience building systems in a quantitative trading or financial environment
- Strong problem-solving skills with a focus on performance, scalability, and data quality
- Ability to operate in a high-impact, fast-paced environment with evolving requirements
- Clear communication skills and a collaborative mindset
Why join QRT?
- Work on business-critical systems with direct impact on trading outcomes
- Join a core engineering team with significant ownership and autonomy
- Collaborate with traders, researchers, and engineers in a highly technical environment
- Tackle complex data and systems challenges at scale
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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Listed on greenhouse · posted 2025-07-16. ApplySarthi collects openings and links to application pages; the role is advertised by Qube Research & Technologies, not by us.