IT - Senior Quality Assurance Engineer (Funding & Exchange)

Qube Research & Technologies

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. The Security Assurance team is responsible for identifying, assessing, and validating security risks across QRT’s technology environment. The team works closely with Security Engineers, Software Engineers, Infrastructure Engineers, Cloud Engineers, and Technology stakeholders to evaluate the effectiveness of security controls and strengthen the firm's overall security posture through adversarial testing and assurance activities. Your Future Role within QRT You will: * Conduct internal penetration testing across a wide range of systems, including trading infrastructure, cloud platforms, APIs, and business applications in both Windows and Linux environments. * Perform red team-style assessments and adversarial simulations to identify weaknesses in detection, response, and resilience capabilities. * Design and execute security assurance strategies to validate the effectiveness of security controls across applications, infrastructure, and cloud environments. * Coordinate external penetration testing engagements with third-party security vendors, including scoping, execution oversight, validation of findings, and remediation tracking across cloud, infrastructure, and application environments. * Identify, exploit, and clearly document vulnerabilities, providing actionable remediation guidance tailored to engineering teams. * Collaborate with product security and development teams to ensure vulnerabilities are properly remediated. * Support threat modelling exercises by providing an attacker’s perspective on system design and architecture. * Develop and maintain tooling, scripts, and frameworks to automate testing and improve coverage of security assessments. * Contribute to continuous security testing within CI/CD pipelines, including validation of SAST/DAST findings and runtime security controls. * Conduct security reviews of internal and third-party systems, validating real-world exploitability of identified risks. * Provide mentorship and training to engineers on common attack vectors, exploitation techniques, and secure design principles. * Stay current with emerging threats, vulnerabilities, and offensive security techniques relevant to financial systems and low-latency environments. Your present skillset: * 5+ years of experience in penetration testing, red teaming, or security assurance roles, with hands-on experience testing complex, large-scale systems. * Strong practical knowledge of offensive security techniques, including web application, API, network, and cloud exploitation. * Solid understanding of system internals, networking, and common vulnerability classes, including OWASP Top 10, logic flaws, authentication and authorisation issues, and race conditions. * Familiarity with both Windows and Linux environments from an attacker’s perspective. * Experience using standard penetration testing tools such as Burp Suite, Metasploit, Nmap, BloodHound, and similar offensive security tooling. * Ability to assess the real-world impact of vulnerabilities and prioritise risks in a high-stakes environment. * Ability to clearly document findings, explain exploitability, and provide practical remediation guidance to engineering and infrastructure teams. * Strong communication skills, with the ability to clearly articulate technical risks and remediation strategies to engineering stakeholders. * Ability to operate independently, manage multiple assessments, and provide senior-level technical judgement during security assurance activities. * Preferred: * Experience testing applications and services developed in languages such as Python, C++, Rust, Go, and Kotlin/Java. * Experience with cloud security testing across AWS or Azure, including IAM, network configuration, storage, managed services, and common cloud misconfigurations. * Experience developing custom penetration testing tools, automation, scripts, exploits, or fuzzers. * Experience integrating security testing into CI/CD pipelines or supporting continuous assurance practices. * Understanding of detection and response mechanisms, with the ability to evaluate or bypass them during controlled testing. * Experience conducting red team exercises, adversary simulations, or purple team engagements. * Experience with containerised environments, Kubernetes, infrastructure-as-code, or hybrid cloud infrastructure. * Knowledge of low-latency systems, financial trading environments, or high-performance distributed systems. * Relevant certifications such as OSCP, OSEP, OSCE, CRTO, CCT APP, CCT INF, or equivalent practical experience. QRT is an equal opportunity employer. We value diversity as essential to our success and are committed to creating an environment where employees can work openly, respectfully, and collaboratively. In addition to supporting professional achievement, QRT offers initiatives and programmes designed to help employees maintain a healthy work-life balance.

Graphcore

ABOUT THE JOB Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why. You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs. This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure. THE TEAM AND CULTURE The ML QA team is where Graphcore’s ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets. Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion. You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar. WHAT WE’RE LOOKING FOR · Strong experience in Machine Learning or ML-adjacent software engineering roles. · A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs. · Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools. · Strong Python skills for automation, experimentation, benchmarking and reporting. · Experience designing, running and analysing ML benchmarks or model experiments. · Confident debugging skills in Linux, with curiosity about model behaviour and system performance. BENEFITS · Unlimited annual leave · Up to 5% matched pension · Phantom equity – share in Graphcore’s success · True flexibility in how and where you work · Office spaces designed for collaboration · Free food and an on-site barista · Health cash plan · Income protection · Life assurance · Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. JOIN THE TEAM AT GRAPHCORE Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to validate the systems behind next generation AI compute, we’d love to hear from you. Apply now to help build what comes next.

Graphcore

ABOUT THE JOB Help prove the ML software stack that future AI systems will depend on. Graphcore is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute. THE TEAM AND CULTURE The ML QA team sits where Graphcore’s software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking. Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns. Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly. WHAT WE’RE LOOKING FOR · Strong software design skills, with experience building maintainable systems across large codebases. · Production Python experience, including testable, reliable code used by other engineers. · Experience with CI/CD, automated testing and Linux based development workflows. · Familiarity with C or C++, with confidence reading and debugging low level code. · Understanding of ML frameworks, workloads or model execution beyond simple API usage. · Ability to mentor engineers, improve practices and take ownership of complex technical problems. BENEFITS · Unlimited annual leave · Up to 5% matched pension · Phantom equity – share in Graphcore’s success · True flexibility in how and where you work · Office spaces designed for collaboration · Free food and an on-site barista · Health cash plan · Income protection · Life assurance · Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. JOIN THE TEAM AT GRAPHCORE Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to shape how complex ML software is tested, trusted and improved, we’d love to hear from you. Apply now to be part of the journey.