Careers at Quberesearchandtechnologies

QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. Your future role within QRT We are seeking an experienced Senior Security Engineer to own complex security challenges across QRT’s global environment. This is a senior individual contributor role combining hands-on engineering, technical leadership, mentoring and operational responsibilities. The role is expected to involve the following activities: Own security initiatives from discovery and design through delivery and ongoing operation, coordinating dependencies across teams and regions. Set technical direction and engineering standards, balancing security, reliability, performance and operational cost. Build and improve controls across identity and privileged access, endpoints, cloud and on-premises infrastructure, data protection and security monitoring. Identify security weaknesses and attack paths, prioritise them by business impact and deliver practical remediation. Automate deployment and operations through APIs, scripting and infrastructure as code, with appropriate testing and rollback procedures. Deliver resilient, supportable services with effective monitoring, runbooks and recovery procedures. Share responsibility for maintenance, support and troubleshooting. Participate in the security on-call rota, responding outside normal working hours as required. Lead complex incident troubleshooting and follow through on corrective actions. Partner with Security, Infrastructure, IT and development teams to integrate controls and drive adoption. Evaluate technologies through testing and ensure successful operational handover. Mentor junior engineers through coaching and design reviews, acting as a senior technical escalation point. Your present skillset Substantial security engineering experience in complex enterprise environments, including ownership of major initiatives spanning multiple teams. Deep practical expertise in several relevant security domains, such as identity, privileged access, endpoint or cloud security, infrastructure hardening, secrets management, PKI, data protection or detection engineering. Strong understanding of Windows, Linux, Active Directory, modern identity platforms, networking, authentication and hybrid infrastructure. Ability to work at both architecture and implementation level, with strong automation skills and experience using version control and delivery pipelines. Experience operating reliable production services, including upgrades, configuration management, monitoring, resilience and recovery. Sound risk judgement, clear communication and the ability to influence stakeholders, resolve dependencies and deliver under ambiguous requirements. Experience mentoring engineers and providing senior technical support during incidents and in an on-call environment. Desirable to have experience or a willingness to learn in the following areas: Quantitative trading, financial services or other environments with demanding availability and performance requirements. Security services spanning multiple regions, clouds and data centres, including migration from legacy platforms. 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 offer initiatives and programmes to enable employees to achieve a healthy work-life balance.

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 hiring a Senior Low-Latency Software Engineer to join a newly formed team building a high-performance trading platform from scratch. This platform sits at the heart of QRT’s execution capabilities and is designed for ultra-low-latency, high-frequency trading. You will work on systems where performance is critical, contributing directly to how strategies are executed in live markets. Your future role within QRT: Design, build, and optimize greenfield, high-performance distributed trading systems in C++, with a strong focus on latency, scalability, and reliability. Partner closely with quant researchers and trading teams to translate strategies into production systems and contribute to the overall architecture. 5+ years of experience in low-latency / high-performance C++ development. Strong expertise in modern C++ (C++17/20/23) and systems programming. Experience with multithreading, concurrency, and real-time systems. Solid understanding of Linux systems and low-level performance optimization. Your present skillset: 5+ years' experience developing high-performance applications in modern C++ Strong understanding of algorithms, data structures, and multithreaded programming Solid understanding of low-latency systems and performance optimisation techniques Experience in electronic trading systems (market data, execution, or connectivity). Understanding of market microstructure. Knowledge of networking (TCP/UDP) and system-level performance tuning. Exposure to hardware acceleration (e.g. FPGA). Interest in quantitative finance, electronic trading, or market making Strong problem-solving skills and the ability to work collaboratively with researchers, traders, and engineers 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.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes worldwide. We are a technology- and data-driven group that applies a scientific approach to investing. Our collaborative culture brings together research, engineering, and financial markets expertise to solve complex challenges and build high-quality, scalable technology. We are looking for a C++ Developer to join our ETF technology team. You will design and build core platforms, services, and infrastructure supporting QRT's capabilities in the ETF space. This is an opportunity to develop robust, high-performance systems and end-to-end workflows while collaborating with engineers, researchers, and business stakeholders. Your Future Role within QRT · Design and develop high-performance C++ applications and services supporting ETF-related platforms and infrastructure. · Build reusable platform components for data processing, messaging, connectivity, workflow orchestration, and system integration. · Develop reliable services for handling real-time and reference data from multiple internal and external sources. · Design automated, event-driven solutions for complex, multi-stage business workflows. · Create well-controlled systems with appropriate validation, auditability, monitoring, and operational tooling. · Improve the performance, resilience, scalability, and observability of production systems. · Integrate new components with QRT's broader technology and data ecosystem. · Collaborate with engineers, researchers, and business stakeholders to translate requirements into well-architected and maintainable solutions. · Contribute to technical design, testing standards, code quality, and long-term platform strategy. Your Present Skillset · 7+ years of professional experience developing performance-sensitive applications in modern C++. · Strong knowledge of software engineering fundamentals, including algorithms, data structures, object-oriented design, and software architecture. · Experience with multithreaded, concurrent, and event-driven programming. · Strong experience developing and operating software on Linux. · Experience building reliable production systems that process real-time or high-volume data. · Experience designing APIs, messaging-based services, or integrations with external systems and data providers. · Understanding of distributed systems, failure handling, testing, monitoring, and production support. · Practical knowledge of the ETF ecosystem, including products, data, market structure, participants, conventions, and operational lifecycles. · Strong problem-solving and communication skills, with the ability to work effectively across technical and business teams. Nice to Have · Experience building technology within the ETF, asset management, investment banking, or broader financial markets space. · Familiarity with ETF reference data, pricing data, lifecycle events, and related operational processes. · Experience with market data feeds, financial messaging standards, connectivity protocols, or middleware technologies. · Experience designing and operating resilient distributed systems in production. · Familiarity with Python or another language used for tooling, integration, or data analysis. · Experience with cloud infrastructure, containerisation, CI/CD, and modern observability tools. 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.

EMEA 2027 – Graduate or Internship, Infrastructure Engineer Location: London, Paris Programme duration: 3–6-month internship, 12-month industrial placement or graduate position Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics, and risk infrastructure. We invest heavily in engineering, automation, and scalable systems because better technology allows us to test ideas faster, operate more reliably, and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects, and learn from engineers, researchers, and traders working on live problems. The environment is technical and collaborative, with plenty of scope to ask questions, explore different approaches, and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT As part of QRT’s Infrastructure group, you’ll help build and operate the systems behind our research, trading and business activities. The work spans hardware, operating systems, compute, storage, networking and platform engineering, with a common focus on performance, reliability and automation. Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas: Infrastructure The Infrastructure team looks after the on-premise hardware and operating systems behind our production trading environment. The work goes well beyond keeping systems running: engineers measure and optimise hardware performance, investigate Linux internals and tune systems where small changes can make a meaningful difference. You’ll develop a detailed understanding of how hardware and software interact and how to make production systems faster, more stable and more predictable. Research Infrastructure Research Infrastructure builds and operates the high-performance compute, networking and storage systems behind QRT’s research. These systems support large-scale data processing, advanced analytics and machine learning and AI workloads using technologies such as PyTorch. The team works closely with researchers to understand what their workloads need and design infrastructure that can meet those demands efficiently. The aim is simple: give researchers reliable, scalable compute so they can spend more time on research and less time thinking about the infrastructure underneath it. HPC Storage The HPC Storage team builds and operates the high-performance storage infrastructure behind large-scale research and computing workloads across QRT. The problems involve moving and serving large volumes of data reliably, securely and quickly enough to support demanding simulations and analyses. You’ll work with enterprise-scale storage technologies and collaborate with engineers, researchers and technology vendors. It’s an opportunity to understand storage at scale, from the underlying architecture and performance characteristics to the way researchers and compute systems interact with it. Network Operations Network Operations is responsible for the availability, reliability and security of QRT’s global network, connecting the systems behind our research and trading activities. The team investigates incidents, develops observability tooling and builds automation to make operating the network more reliable and efficient. Alongside day-to-day operations, the team works on the infrastructure needed for high-performance compute and low-latency trading. This means understanding how networks behave in practice, finding the source of difficult problems and looking for ways to make systems simpler to operate and easier to observe. DevOps (London & Paris) Platform Engineering builds and automates the infrastructure, tools and workflows behind QRT’s research and trading platforms. Working across cloud and on-premise environments, the team brings together DevOps, cloud, networking, security, infrastructure and software engineering. You’ll work on the systems that allow researchers and developers to build, deploy and operate technology efficiently at scale. That could mean improving deployment workflows, automating infrastructure or finding better ways to make complex systems reliable and repeatable. SRE (London & Paris) Site Reliability Engineering sits at the intersection of software engineering, quantitative research and trading. Working closely with researchers and traders, the team builds reliable, high-performance systems and develops tooling and automation for deployment, monitoring, operations and incident response. The work combines software engineering with an interest in how systems behave in production. You’ll investigate technical problems, improve observability and help design systems that remain resilient as they scale, while developing an understanding of the quantitative workflows they support. Your current skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Information Technology, Networks or a related subject, on track for a 2:1 or above. Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Depending on the team, relevant knowledge and experience may include: Programming or scripting in languages such as Python or Bash. Tools such as Git, SQL and GCC. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of storage concepts such as RAID, erasure coding, file systems and networking protocols. Knowledge of networking concepts including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Hands-on experimentation with Linux, such as building Linux systems on laptops or Raspberry Pis or working with custom Android installations, particularly for on-premise Infrastructure roles. Mindset – Curious about how systems work and comfortable getting into the detail when something doesn’t behave as expected. You approach problems methodically, ask questions and look for practical ways to improve performance or reliability. Approach – Self-motivated, collaborative and comfortable taking ownership of a technical problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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.

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. You will work at the intersection of financial markets, data science and engineering, supporting the discovery, evaluation and integration of financial datasets used across quantitative research and trading. The role combines technical expertise with an understanding of Macro markets, working closely with Quantitative Researchers, Portfolio Managers and Traders to translate business requirements into practical data solutions. You will engage directly with external data providers, assess existing data assets and identify opportunities to expand the firm's data capabilities. Your future role within QRT Collaborate with Quantitative Researchers, Portfolio Managers and Traders to understand their data requirements and identify suitable datasets for research and trading strategies Evaluate existing data assets and external vendor offerings, assessing coverage, quality, consistency and suitability for specific financial applications Manage the discovery, evaluation and onboarding of new datasets, with a focus on Macro markets, including Rates, bonds, swaps, derivatives and alternative data Engage directly with external data providers to understand their offerings, assess APIs and investigate data availability, structure and delivery mechanisms Develop Python tools and data pipelines to extract, clean, normalise and analyse financial datasets from multiple sources Investigate discrepancies across data providers, including differences in instrument identifiers, pricing conventions, timestamps and reference data Maintain and improve the quality and consistency of existing datasets, proactively resolving issues and identifying opportunities to enhance data coverage Collaborate with engineering teams to automate data ingestion, validation and integration processes, ensuring reliable delivery into research and trading environments Your present skillset Minimum 2 years of relevant professional experience in Data Science, Data Analysis, Data Engineering or a similar role within financial markets Practical understanding of financial markets and instruments, with exposure to Macro, Fixed Income, Rates, Credit or related asset classes Strong Python programming skills, including experience with data analysis libraries such as Pandas and NumPy Good SQL skills and experience working with structured financial datasets Experience sourcing, analysing and processing financial data, with an understanding of data quality, validation and consistency across multiple sources Ability to understand financial concepts and communicate effectively with Quantitative Researchers, Portfolio Managers, Traders and external data vendors Strong analytical and problem solving skills, with the ability to investigate unfamiliar datasets and identify appropriate solutions independently Familiarity with external data providers, financial data platforms and API integration Ability to manage competing priorities, take ownership of data initiatives and collaborate effectively across technical and business functions Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering or Finance; a postgraduate qualification is beneficial Experience developing data pipelines, automating data workflows or supporting production data infrastructure is beneficial Knowledge of financial data concepts such as yield curves, instrument reference data, market data and pricing conventions is advantageous 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.

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. You will work at the intersection of financial markets, data science and engineering, supporting the discovery, evaluation and integration of financial datasets used across quantitative research and trading. The role combines technical expertise with an understanding of Macro markets, working closely with Quantitative Researchers, Portfolio Managers and Traders to translate business requirements into practical data solutions. You will engage directly with external data providers, assess existing data assets and identify opportunities to expand the firm's data capabilities. Your future role within QRT Collaborate with Quantitative Researchers, Portfolio Managers and Traders to understand their data requirements and identify suitable datasets for research and trading strategies Evaluate existing data assets and external vendor offerings, assessing coverage, quality, consistency and suitability for specific financial applications Manage the discovery, evaluation and onboarding of new datasets, with a focus on Macro markets, including Rates, bonds, swaps, derivatives and alternative data Engage directly with external data providers to understand their offerings, assess APIs and investigate data availability, structure and delivery mechanisms Develop Python tools and data pipelines to extract, clean, normalise and analyse financial datasets from multiple sources Investigate discrepancies across data providers, including differences in instrument identifiers, pricing conventions, timestamps and reference data Maintain and improve the quality and consistency of existing datasets, proactively resolving issues and identifying opportunities to enhance data coverage Collaborate with engineering teams to automate data ingestion, validation and integration processes, ensuring reliable delivery into research and trading environments Your present skillset Minimum 2 years of relevant professional experience in Data Science, Data Analysis, Data Engineering or a similar role within financial markets Practical understanding of financial markets and instruments, with exposure to Macro, Fixed Income, Rates, Credit or related asset classes Strong Python programming skills, including experience with data analysis libraries such as Pandas and NumPy Good SQL skills and experience working with structured financial datasets Experience sourcing, analysing and processing financial data, with an understanding of data quality, validation and consistency across multiple sources Ability to understand financial concepts and communicate effectively with Quantitative Researchers, Portfolio Managers, Traders and external data vendors Strong analytical and problem solving skills, with the ability to investigate unfamiliar datasets and identify appropriate solutions independently Familiarity with external data providers, financial data platforms and API integration Ability to manage competing priorities, take ownership of data initiatives and collaborate effectively across technical and business functions Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering or Finance; a postgraduate qualification is beneficial Experience developing data pipelines, automating data workflows or supporting production data infrastructure is beneficial Knowledge of financial data concepts such as yield curves, instrument reference data, market data and pricing conventions is advantageous 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.

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. As a Senior Software Engineer on our Market Access team, you will design and develop high-performance systems that drive our trading capabilities. Your future role within QRT Build high-performance, low-latency C++ applications for trading. Work with traders, FPGA engineers, DevOps, and other teams to create seamless solutions. Write clean, maintainable code and participate in code reviews, debugging, and optimization. Lead discussions on system design, ensuring alignment with business and technology goals. Partner with system administrators and network engineers to optimize deployments. Mentor team members in best practices and contribute to the continuous improvement of our software development processes. Your Present Skillset Experience in C++ development (C++11/14/17/20), and multi threaded, high-performance applications on Linux. Demonstrated experience in system-level architecture design for trading or other performance-critical environments. Strong understanding of low-latency techniques, system profiling, and tuning Previous experience as a people manager or technical lead, demonstrate examples of leading engineers on different projects Familiarity with advanced debugging tools and performance analysis techniques. Understanding of financial products and trading systems is preferred. 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.

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. You will work on internal applications and infrastructure that deliver data from core services and APIs to a multitude of users across Trading, Risk, Compliance, Regulatory Reporting, Operations and Support. The role focuses primarily on C# development, building scalable systems that provide accurate and timely data for trading and operational workflows, alongside contributing to user interfaces developed using React and TypeScript. Your future role within QRT Design, develop and maintain C# applications and infrastructure supporting real time data delivery across the business Build scalable services and data flows for trade entry, positions, order monitoring, execution, risk and PnL workflows Optimise application architecture, memory management and resource utilisation to improve scalability and reliability Investigate and resolve production issues involving data quality, latency, throughput and system performance Take ownership of technical decisions and continuously improve existing systems in response to evolving business needs Develop and enhance user interfaces using React and TypeScript in collaboration with other engineers Collaborate with Trading, Risk and operational stakeholders to understand requirements and deliver practical technical solutions Your Present Skillset Minimum three years of professional software engineering experience, with strong C# and .NET development skills Experience designing, developing and supporting real time applications and data intensive production systems Strong understanding of software engineering fundamentals, including data structures, memory allocation, garbage collection and concurrency Experience investigating performance bottlenecks and implementing improvements to application reliability and efficiency Ability to work autonomously, make informed architectural decisions and take ownership of complex technical problems Experience with React, TypeScript, JavaScript, WPF, WinForms or similar user interface technologies is beneficial Strong communication and collaboration skills, with the ability to work effectively with technical and business stakeholders Familiarity with AWS, C++, real time messaging technologies, WebSockets or SignalR is advantageous Exposure to financial markets, trading systems or risk management applications is beneficial 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.

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 the Data Engineering team, which builds software that enables Quantitative Researchers to access and use data across cloud and on-premises computing environments. The team works with other engineering groups to support data-intensive research workloads. Your Future Role within QRT You will: Design, build and operate distributed software that manages data across research environments. Enable reliable and efficient data access for large-scale compute workloads. Address challenges involving data movement, locality, performance and scale. Develop services and tooling used by Quantitative Researchers and engineering teams. Improve the security, observability and resilience of data systems. Work with researchers and engineers to understand requirements and deliver practical solutions. Own systems from design and implementation through production operation. Your Present Skillset At least five years of experience building and operating production software systems. Strong software engineering skills in Go, Python, C++, Rust, Java or a similar language. Experience designing distributed systems at scale, with an understanding of performance, concurrency, fault tolerance and reliability. Experience building services or platforms used by other engineers. Knowledge of large-scale storage, data movement, or data-intensive computing workloads. Understanding of how storage and networking affect distributed system performance. Experience working across cloud and on-premises environments. 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.

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 As the Lead Windows Platform Server Engineer for APAC, you will be the senior technical lead for QRT’s Windows Server and Microsoft infrastructure across the region. This is a hands-on engineering role with responsibility for designing, building and supporting the infrastructure underpinning our research, trading and data-processing platforms. You will also lead the day-to-day technical activities of the Hong Kong team and act as the primary escalation point during APAC hours. You will take ownership of regional incidents and complex technical issues, coordinating teams and driving problems through to resolution. Responsibilities Manage the Windows Infrastructure team in Hong Kong and act as the senior infrastructure escalation point for APAC reporting into the Windows Infrastructure Global Lead. Design, build and support Windows Server 2022/2025 environments. Support Active Directory, Group Policy, DNS and Entra ID integration. Support VMware ESXi, storage, backups, monitoring, Citrix DaaS, Azure, Microsoft 365 and Intune. Automate platform management using PowerShell, Ansible and Terraform. Work with SAN/NAS storage, Veeam, Splunk and other enterprise infrastructure platforms. Work with global teams while representing APAC infrastructure requirements. Understanding of general Windows Desktop builds and troubleshooting Lead critical incidents and coordinate technical resources through to resolution. Build effective relationships with regional business leaders, technology teams and global engineering colleagues. Ensure effective handovers and communication between APAC, UK and US teams. Maintain technical documentation, operational procedures and architecture standards. Your present skillset Extensive enterprise Windows Server and infrastructure engineering experience. Strong Active Directory, Group Policy and DNS expertise. Advanced PowerShell and infrastructure-automation skills. Strong VMware ESXi, networking and storage knowledge. Experience with Azure, Entra ID, Microsoft 365, Intune and Citrix DaaS. Proven experience formally managing engineers, including objectives, appraisals, development and performance management. Strong incident leadership, decision-making and troubleshooting skills. Confidence communicating with senior stakeholders during incidents and periods of change. Excellent written and verbal communication skills. Ability to explain technical issues, risks and decisions clearly to technical and non-technical audiences. Ability to give clear direction, constructive feedback and difficult messages when required. 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.