
Qube Research & Technologies · Sydney
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a ...
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.
Your future role within QRT
This person will be a key member of the global DB team to help support, administrate, and secure databases for QRT. Exposure to
many aspects of DB projects, including but not limited to Administration, Always-on/High Availability, Capacity-Planning, Data
Warehouse, DB design, etc.
Requirements
essential.
NoSQL
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.
Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas (https://cloud.mongodb.com), Cloud Manager and Compass. MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are specialists in the entire MongoDB ecosystem - database server, drivers, our management suite, and services such as Cloud Manager (the online product we developed for customers for automation, backup, monitoring, and analysis of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. The position will be based in our Sydney or Melbourne offices. The standard work week post ramping will be Sunday to Thursday, every week. WHY MONGODB IS A FANTASTIC PLACE TO WORK AND BUILD YOUR CAREER * Be a part of the company that’s reinventing the database, passionate about innovation and speed * Enjoy a fun, inspiring culture that is engineering focused * Work with exceptionally talented people around the globe * Learn, contribute, and make an impact on the product and community COOL THINGS YOU’LL DO MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. MongoDB Technical Services puts a strong focus on engineers enabling their peers to be successful by sharing newly gained technical knowledge with the team, either via informal one-to-one conversations, or training and workshop sessions. By documenting solutions in our knowledge platform, TSEs will increase the efficiency of our customers, other team members and departments throughout MongoDB. WHAT YOU NEED You should have 4+ years of proven experience, we consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted. THE IDEAL CANDIDATE SHOULD HAVE A MIX OF EXPERIENCE IN MOST OF THE FOLLOWING AREAS: * Strong diagnostics and troubleshooting experience, with the ability to analyse issues holistically, from the application tier, to database to storage * Broad awareness of customer workloads and use cases, including performance, availability, and scalability * Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting * Ability to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, JavaScript, Node.js, Go, etc * Good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.) * Storage engineering experience, including NAS, RAID, SAN, SSD, multi-pathing, and caching * Experience supporting complex mission-critical product applications and database systems (RDBMS or non-relational) You should possess a genuine desire to help people, the ability to think on your feet and remain calm under pressure while solving problems in real-time. There’s a lot to learn, so the desire and ability to rapidly learn a wide variety of new technical skills is paramount. We work in a collaborative team environment, so a willingness and ability to get help from team members when required, and good judgment to know when to seek help, is essential. We also aim to have diverse technical backgrounds and therefore different subject matter expertise is welcome. You do not need to have prior experience with MongoDB. We can teach you that! BONUS POINTS * Fluency in conveying technical discussion in Mandarin * Experience with authentication systems such as LDAP, Kerberos, AD * Experience using or managing MongoDB * Experience using distributed version control systems, and in particular git * Experience using any cloud services stack such as AWS, Azure or GCP * Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators SUCCESS MEASURES * In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training * In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam * In 12 months, you will be a part of a technical experts group within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 1273397152
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven organisation applying a scientific approach to investing. By combining data, research, technology and trading expertise, we foster a collaborative culture that enables us to solve complex challenges and deliver high-quality returns for our investors. Your future role within QRT We are seeking a motivated and versatile Production Support Engineer to join our Sydney office. This permanent role suits candidates who thrive in fast-paced environments, enjoy supporting multiple technology domains (Trading Tools or Market Access), and are driven by operational excellence and technical innovation. Key Responsibilities Production Support (50%) * Provide user and system support across multiple technology streams. * Monitor, maintain and troubleshoot production systems, with a focus on data platforms and trading infrastructure. * Respond to incidents and service requests, diagnosing issues affecting data flows, trading applications and related systems. * Perform daily health checks of trading and data systems before market open. * Manage and maintain static and dynamic databases, including resolving data integrity issues. * Work with development and business teams to resolve pre-trade issues and implement improvements. * Support application releases, including deployment, validation and rollback procedures. * Maintain operational documentation and ensure adherence to internal controls and best practices. * Participate in root cause analysis and collaborate with global teams to resolve complex incidents. * Provide out-of-hours support when required. Development & Automation (50%) * Develop automation tools to improve operational workflows. * Build scripts and applications for monitoring, alerting, data quality checks and recovery processes. * Contribute to initiatives involving cloud platforms, CI/CD pipelines and system optimisation. Required Skills & Experience * 3+ years’ experience in technical support, ideally within trading or market access environments. * Scripting experience in Python, Bash or PowerShell. * Experience with Windows and Linux administration. * Strong relational database knowledge (SQL Server, PostgreSQL). * Experience supporting trading systems or financial market infrastructure. * Strong analytical, problem-solving and communication skills with a strong sense of ownership. Preferred Attributes * Interest in supporting diverse technology areas and learning new domains. * Ability to work independently and within global teams. * Proactive approach to automation and process improvement. * Experience with AWS or other cloud platforms. * Exposure to crypto assets or crypto markets. QRT is an equal opportunity employer. We value diversity and foster an open, respectful environment that supports collaboration, professional growth and a healthy work-life balance.
Software Engineer – Core - Data & Lifecycle Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes worldwide. We are a technology and data-driven organisation applying a scientific approach to investing. By combining data, research, technology, and trading expertise, we tackle complex problems in a highly collaborative environment. Our culture of innovation underpins our ambition to deliver high-quality returns for our investors. Your role at QRT We are looking for a Software Engineer to join our Core Data & Lifecycle Engineering team in Sydney. This team builds and owns critical systems that sit at the heart of QRT’s trading operations—powering trade and position lifecycle management, reference data, and reporting workflows across all asset classes. These systems are highly visible and directly influence trading decisions, risk management, and operational efficiency. 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