Lead Python Engineer - Compute Platform

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 Compute Operations team support the day-to-day operation of on-prem compute infrastructure, covering HPC server hardware, Linux-based platforms, and user-facing support. You will work closely with the Compute Ops Team Lead, Linux engineers, and other platform groups to maintain reliable, performant compute services across Slurm, Kubernetes, and control-plane environments.  Your Future Role within QRT You will: * Provide hands-on support for HPC server hardware, including diagnostics, issue investigation, and coordination with vendors for repairs * Monitor system health and respond to alerts using infrastructure monitoring tools * Support hardware lifecycle activities, including provisioning, maintenance, and decommissioning * Troubleshoot Linux-based systems across OS, networking, and storage layers * Triage and resolve user-facing issues across compute platforms such as Slurm and Kubernetes * Coordinate with internal teams and vendors on maintenance and incident resolution * Execute scheduled maintenance and change activities * Maintain accurate infrastructure records and documentation * Contribute to runbooks and continuous improvement of operational processes * Participate in on-call rotations and incident response Your Present Skillset * 2–5 years of experience in compute infrastructure, systems engineering, or a related role * Strong Linux systems administration experience (i.e. RHEL, Rocky Linux, or similar) * Strong understanding of server hardware (i.e. compute, storage, networking components) * Familiarity with infrastructure monitoring tools (e.g. OneView, Dell OME, or similar) * Exposure to HPC or platform environments such as Slurm or Kubernetes * Experience or familiarity with operational tooling (i.e. NetBox, DNS, HashiCorp Vault, Ansible, scripting languages or similar) * Knowledge of automation or scripting (e.g. Bash, Python, Ansible) * Strong troubleshooting and problem-solving skills * Ability to communicate effectively and work in a collaborative environment * Understanding of datacentre operations and safety practices 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.

Liberis

Some key info for you about Liberis:  🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do!   Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale.  Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.   The role: The Cloud Platform team builds and operates the shared infrastructure and developer tooling that every engineering team at Liberis depends on. We’re now running all new services in GCP and are actively migrating onto GCP from our legacy Azure platform. As we scale our use of AI, we're looking to add a Senior Cloud Platform Engineer with an emphasis on AI Enablement to help build and run the shared infrastructure our product teams depend on and to expand how we use AI across the platform.  Our services are built in .NET, Node.js, and Python, primarily on both GCP and Azure. You'll work across the platform stack, and you'll be the person nudging us to make AI a practical, everyday part of how we build and operate. You'll spot where AI can make the platform and the teams on it faster, from AI-assisted developer tooling to agents that take real work off people's plates, and you'll help turn those ideas into things people use, with the guardrails and cost controls that make them safe to run.   What you'll get to do in the role: * Build and maintain the cloud infrastructure and tooling our product teams rely on, across compute, networking, CI/CD, and deployment on Kubernetes or Cloud Run. * Champion AI agent adoption across the platform: spot where agents can take on real work, prototype it, and turn the promising work into supported, reusable capabilities teams can build on. * Build the foundations for AI agents: integrations with Claude, the tools and services agents call, and the orchestration that ties them together. * Wire observability, guardrails, and cost controls into the AI agents and tooling we run, so they stay safe and predictable in production. * Work hands-on with the AI tooling and agent frameworks we build on — Claude in particular, which we use extensively — and bring what you learn back to the wider team. * Manage infrastructure with Terraform, keeping environments consistent, auditable, and reproducible. * Contribute to our Azure-to-GCP migration thinking, especially what it means for our AI tooling and agents. * Partner with product engineers to lower the barrier to using AI, writing the docs, templates, and examples that drive adoption.   What we think you'll need: * Genuine enthusiasm for AI agents and a desire to help us adopt them well. You don't need a machine-learning or model-training background — this is about building with tools like Claude, not training or serving models — but you should be keen to learn and to lead by doing. * Strong GCP experience (Azure experience is nice to have) * Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. * Infrastructure-as-code with Terraform. * Proficient in at least one of .NET (C#), Node.js, or Python. * Observability experience with Datadog or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor). * A track record of driving adoption — building things engineers use, writing docs that get read. * Comfortable leading technical decisions, collaborating across teams, and mentoring other engineers.   Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link  Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1

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 Enterprise Infrastructure team is responsible for designing, operating, and evolving QRT’s global enterprise technology platforms. The team ensures the reliability, security, and scalability of core infrastructure services that support corporate systems, identity platforms, collaboration tools, and shared technology services across regions. Your Future Role within QRT * Define and drive the enterprise infrastructure roadmap aligned with firm-wide technology strategy * Lead the design and evolution of highly available, secure, and scalable on-prem infrastructure platforms (compute, storage, network, virtualization) * Own operational resilience, including high availability, backup, disaster recovery, and business continuity frameworks * Establish and oversee SLAs, SLOs, operational KPIs, and incident governance processes * Drive automation initiatives across provisioning, patching, compliance, and monitoring * Promote Infrastructure-as-Code and standardization across global environments * Partner with Security to enforce hardening standards, vulnerability management, and access controls * Collaborate with Application, Workplace Technology, Architecture, and Risk teams on enterprise initiatives * Lead and mentor infrastructure engineers across regions * Manage vendor relationships, lifecycle planning, and infrastructure capacity management   Your Present Skillset * 10+ years’ experience in enterprise infrastructure engineering, including leadership responsibility * Broad knowledge of Linux and/or Windows systems administration * Broad knowledge of virtualization platforms, enterprise storage, networking, and core infrastructure services * Proven experience operating global enterprise platforms (e.g., identity services, collaboration tools, file services) * Hands-on experience with automation frameworks (e.g., Terraform, Ansible) and scripting (e.g., Python, Bash, PowerShell) * Strong understanding of monitoring, logging, and observability practices * Experience operating within regulated or controlled environments * Demonstrated ability to lead distributed teams and drive infrastructure transformation initiatives * Strong ownership mindset with a structured and risk-aware approach to decision-making * Clear communicator and excellent collaborator, with the ability to engage both technical and business stakeholders * Experience leading modernization or large-scale infrastructure refresh programs is a plus 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.