Network Operations Engineer

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.  You will join the Network Engineering function responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities.  Your Future Role within QRT  * Operate, troubleshoot, and enhance large-scale WAN environments to ensure availability and performance.  * Design, implement, and support MPLS-based solutions * Configure and maintain routing services across multiple BGP address families. * Design, implement, and troubleshoot multicast services using technologies such as MVPN.  * Analyse and validate MPLS label operations and end-to-end forwarding behaviour.  * Support TCP/IP-based services and traffic flows across a multi-site network footprint.  * Produce and maintain accurate technical documentation, including design artefacts and operational procedures.  * Collaborate with engineering and operations stakeholders to progress projects and BAU activities.  * Act as an escalation point for complex network issues requiring deep technical investigation.  Your Present Skillset  * Strong operational experience with MPLS environments. * Deep knowledge of:  * BGP (including EVPN, VPNv4, IPv4)  * MPLS forwarding and label distribution  * Multicast and MVPN  * Proficiency with at least one major routing platform (e.g., Arista, Cisco).  * Proven ability to troubleshoot complex MPLS, routing, and forwarding behaviour.  * Strong understanding of TCP/IP networking, QoS, routing protocols, and traffic engineering concepts.  * Experience working in environments with strict availability and reliability requirements.  * Useful additional experience includes:  * Network automation (e.g., Python)  * Model-driven networking  * CI/CD concepts applied to network configuration  * Telemetry and streaming-based monitoring approaches  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

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 a procurement function that supports technology infrastructure, cloud services and strategic supplier relationships across the firm. The role focuses on transforming complex operational, financial and infrastructure data into actionable insights that support procurement decisions, capacity planning, supplier management and investment strategy. You will work closely with procurement, finance, engineering and operations stakeholders to develop reporting, forecasting and analytics capabilities across a growing technology estate. Your future role within QRT * Extract, cleanse and integrate data from cloud platforms, procurement systems, infrastructure management tools and financial systems * Develop and maintain dashboards and reporting for procurement, infrastructure, finance and executive stakeholders * Analyse infrastructure utilisation, asset lifecycle trends, capacity planning metrics and technology refresh programmes * Combine cloud consumption, procurement, financial and operational datasets to provide business insights and decision support * Analyse cloud, colocation and infrastructure costs to support investment planning and optimisation initiatives * Develop forecasting models for infrastructure demand, supplier commitments and hardware procurement planning * Partner with engineering and operations teams to provide insight into server utilisation, storage growth, network capacity and operational efficiency * Evaluate opportunities to improve infrastructure performance, resiliency and cost effectiveness * Develop KPI frameworks and operational metrics for cloud services, infrastructure assets and operational processes * Build and improve automated reporting, analytics workflows and data pipelines * Present findings and recommendations to technical and non technical stakeholders, including senior leadership * Support strategic decision making through reporting on supplier commitments, infrastructure investment and capacity planning Your present skillset * Bachelor's degree in Finance, Data Analytics, Computer Science, Engineering or a related discipline * 8 or more years of experience in data analysis within procurement, infrastructure, asset management, finance or technology operations * Strong understanding of AWS reporting, cloud financial management and cloud consumption analytics * Experience analysing infrastructure assets, capacity planning, hardware lifecycle management and technology refresh programmes * Advanced Excel skills and strong SQL expertise * Experience using Python for analytics, automation and data processing * Proficiency with Tableau or similar visualisation and reporting tools * Strong analytical skills with the ability to interpret complex datasets and generate actionable insights * Excellent communication skills with experience presenting to senior stakeholders * Ability to manage multiple priorities and work independently in a fast paced environment * Familiarity with ERP platforms and procurement systems such as SAP or Coupa is beneficial * Experience with infrastructure management, asset management or data centre management platforms is advantageous * Knowledge of cloud computing, storage architectures and infrastructure best practices is beneficial * Experience building automated data pipelines, ETL processes and enterprise reporting solutions is advantageous * Understanding of FinOps principles, supplier commitment management and infrastructure investment analysis 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.

Risk Ledger

ABOUT US Risk Ledger is developing a network of connected organisations, all working together to defend against cybersecurity attacks in the supply chain. Organisations rely on us to establish trust, through sharing their security maturity and visualising the risks posed by their supply chain ecosystem. And we’re already trusted by customers like ASOS, British Airways, BAE Systems and the NHS. We are putting together an amazing and talented team from a diverse set of backgrounds and skillsets to drive us towards our vision. Risk Ledger is built on the respect we have for one another and our users, united by our shared values and mission. Every one of us is still learning: it’s how we grow as individuals. We’re curious. We’re ambitious. And we’re humble and honest. At Risk Ledger, we aim high to find the best solutions we can and always put our users first. THE TEAM: You'll join a cross-functional department of Software Engineers, Product Managers and Designers, all collaborating with the wider business to achieve impactful product outcomes. You'll be part of a small, growing Platform team, working closely with the wider engineering function. We care deeply about building the right thing, in order to fundamentally shift mindsets in the cybersecurity industry. We ship quickly and continuously in order to learn and iterate, whilst always pushing for a high quality bar and keeping security and automation front and centre - the latter two being critical components of this role. The core of our stack is Golang, Typescript (VueJS), PostgreSQL , AWS, Google Cloud and Grafana Cloud, with modern design philosophies and a cloud-native approach. THIS ROLE: This role combines aspects of Platform Engineering, Site Reliability Engineering, Developer Experience, and DevSecOps. Working alongside the wider team, you'll build and maintain the foundational systems, tools, and practices that enable our engineering teams to deliver secure, scalable, and reliable software efficiently at pace. You'll be hands-on across the stack, contributing to the standards and consistency we hold across the engineering organisation, and you should expect to manage multiple priorities and operate at varying levels of detail. You'll join a team that treats our platform as a product, putting the developer experience at the heart of everything you do. Your mission is to build a seamless, secure and reliable path from code to production, enabling our engineering teams to ship value quickly and safely. Day-to-day, you’ll collaborate with engineers, product managers, technical leadership and the wider business on strategic initiatives that deliver real value to our customers. IN THE ROLE YOU WILL; * Build and maintain scalable, resilient cloud infrastructure. Working across our products and supporting services, you'll develop and maintain our cloud services and infrastructure in AWS (primary) and GCP. You'll build and operate environments using Terraform and patterns like container orchestration on ECS/EKS , while helping to improve observability, reliability and performance. * Accelerate product delivery through platform engineering. Contribute to the build of pipelines, tooling and internal platforms that enable fast, safe, automated that seeks to reduce friction across the delivery lifecycle. * Improve developer experience with self-service tooling and standardisation. Help build the frameworks, tools, self-service platforms and golden paths that streamline workflows, eliminate toil, and promote consistent best practices, so software engineers can focus on high-value customer delivery. * Support reliability and sacabibility through SRE principles and proactive operations. In partnership with product and engineering teams, you'll participate in incident response, help define and monitor SLI/SLO/SLAs, and work to optimise systems for availability, resilience, performance, and cost. * Embed security across the engineering lifecycle. Help integrate shift-left security practices into CI/CD pipelines and product workflows so vulnerabilities are caught early and consistently. Support the management of secrets, credentials, and identity access controls, and help enforce compliance through automated policies. * Contribute to a strong security posture. Working with our Information Security team, you'll help monitor, triage and respond to security events, and support a strong security posture through continuous vulnerability scanning, dependency management and threat modelling. * Move fast, with an eye for quality. You enjoy moving fast while maintaining a high quality bar through testing, automation, discipline, consistency and best practice, whilst treading a careful line in pragmatism and cost-benefit analysis. * Share knowledge and grow. You'll share what you know with colleagues, support more junior engineers, and actively grow your own technical and architectural skills with the team around you. * Support our AI/ML platform tooling. From time to time you'll help maintain the infrastructure and supporting tooling behind our AI and ML capabilities (e.g. Vertex AI on GCP, AWS Bedrock, and LLM observability tooling such as Langfuse). This is a supporting part of the role rather than its focus. YOU'LL HAVE; * Experience working in engineering teams building a customer-focused SaaS product, weighing delivering value to clients against technical excellence. * 4+ years of experience in Platform Engineering, SRE, or DevOps roles. * Good working knowledge of cloud platforms (AWS and/or GCP), managed services and infrastructure automation tools (Terraform or similar). * Proficiency in containerisation and orchestration (Containers, ECS, Kubernetes a plus). * Proficiency in one or more programming or scripting languages (such as Go, TypeScript/JavaScript, Python or Bash), with a background in software engineering being a major plus. * Experience building or maintaining CI/CD systems (GitHub Actions preferable, ArgoCD etc). * Experience with monitoring, alerting and logging stacks (the Grafana stack: Prometheus, Loki, Tempo; plus OpenTelemetry). * A working understanding of networking and distributed systems. * A working understanding of security and an interest in DevSecOps. * An ability to work through ambiguity, and comfort tackling problems that aren't always well defined. * A keen sense of curiosity, with a natural drive to learn and grow. * A passion to work collaboratively with others. We like to work as a team, not a collection of individuals, and we expect you to have the same mindset. YOU MIGHT HAVE; * Knowledge of policy-as-code. * Familiarity with supply chain security. * Exposure to cost optimisation and FinOps practices. * Experience with internal developer platforms or portal tooling (e.g. Backstage, Get Port). * Exposure to LLM observability or evaluation tooling (e.g. Langfuse). Salary range £90,000—£110,000 GBP