Platform Engineer (Cloud)

BlueCrest Capital Management

Department overview: This role sits at the intersection of our Front Office AI Technology team and Technology Infrastructure. This role straddles both teams, operating as the delivery and implementation function for our central AI capacity within the broader Infrastructure department. The position is responsible for deploying and operationalising the Front Office AI Technology team’s requirements by working hands‑on with Technology Infrastructure to design, build, automate, and run AI‑ready cloud platforms in production. The Front Office AI Technology team is focused on enabling the development of AI capabilities within the investment environment. The team partners closely with Front Office stakeholders to identify, design, and develop AI-enabled solutions that enhance decision‑making, efficiency, and insight, while operating within the firm’s risk, control, and regulatory constraints. Our Technology Infrastructure team operates globally and is responsible for every aspect of the firm's hybrid platform. This ranges from our EUC/Office environments to Trading and Core service Co-Location Data Centres, and extends to Public Cloud, delivering top-tier technology services to a dynamic and demanding Trading organisation. In addition to meeting the round-the-clock operational demands of the platforms, we continuously evolve and transform our platforms to maintain a competitive edge that our business requires. We innovate to provide valuable solutions and leverage our skilled Technology teams to deliver against rapidly changing business requirements. Role overview: The AI and Public Cloud Engineer is a highly technical, hands‑on platform engineering role responsible for designing, building, automating and operating secure cloud and AI platform foundations across a hybrid environment. The role exists to accelerate public cloud-based AI maturity and support existing on-premise platforms, while enabling enterprise and Front Office AI use cases through robust, well‑governed infrastructure. Working across Microsoft Azure, on-premise platforms and later with AWS and GCP Gemini / VertexAI enablement, the role delivers secure by design platforms covering identity, networking, security, governance, automation, and cost control. The position focuses on the operational reality of AI services with supporting, integrating, and governing AI platforms and AI SaaS providers within a low risk tolerance, regulated environment. This role offers a compelling opportunity to operate at the intersection of AI innovation and institutional‑grade infrastructure, enabling next‑generation AI capabilities within the investment environment of a leading hedge fund. Experience required: Public Cloud Platform Engineering (Azure/AWS/GCP) * Deep hands-on experience engineering and operating Azure and/or AWS landing zones, including identity, networking, security baselines, governance and hybrid connectivity. * Working knowledge of GCP infrastructure sufficient to deploy, integrate, and operate Vertex AI / Gemini alongside existing cloud platforms. AI Platform Operations & Integration * Proven experience building, running, and supporting AI services across public cloud (Azure, AWS, GCP, etc.) and enterprise SaaS AI platforms (OpenAI Enterprise, Anthropic, etc.). * Strong understanding of AI operational patterns including API-based model access, availability, monitoring, and governance rather than model development or data science. On-Premise Platform Engineering, Operations & Integration * Proven experience building, running, and supporting on-premise platforms and foundational services, such as advanced virtualisation with VMWare, Hyper-V and/or Kubernetes * Enterprise and data platform integration experience between on-premise and public cloud, in aspects of security, high availability, networking, load balancing to deliver hybrid applications and infrastructure Cloud Networking & Hybrid Connectivity * Hands-on experience designing and operating hybrid cloud connectivity (ExpressRoute / Direct Connect), including resilient routing, segmentation and private access patterns. * Strong practical knowledge of cloud network security, private endpoints, DNS integration, egress control and zero-trust networking principles. Identity, Access Management & Security * Deep experience implementing cloud IAM (Azure Entra ID, AWS IAM), RBAC, privileged access, MFA and workload identity patterns. * Practical application of security-by-design principles across cloud and AI platforms, including least privilege, auditability and controlled access to sensitive data. Infrastructure as Code & Automation * High proficiency in Infrastructure as Code (Terraform, Bicep, CloudFormation/CDK) to deliver repeatable, governed cloud or on-premise platforms. * Strong scripting or development capability (Python, Bash, PowerShell) to automate platform operations, integrations, and CI/CD workflows. Governance, Compliance & Cost Management * Experience implementing governance frameworks including policy enforcement, tagging standards, compliance automation and environment guardrails. * Practical experience managing cost controls and consumption optimisation, particularly for AI and data-intensive workloads. * Hands-on experience applying data classification, DLP, and AI usage controls to protect sensitive data across cloud and SaaS AI services. * Working knowledge of enterprise AI security and governance standards aligned to regulated or low risk tolerance environments. Platform Support & Operational Excellence * Demonstrated experience supporting production cloud and on-premise platforms, including incident response, resilience testing and operational improvement. * Ability to balance critical BAU support with ongoing platform engineering and transformation work in time‑sensitive environments. About you: The ideal candidate is a highly technical, hands-on platform engineer with demonstrable broad-range skills and deep experience in public cloud infrastructure and AI service delivery. You have a proven track record in problem-solving, balancing critical operational support with advanced engineering initiatives in fast-paced, demanding environments. You are passionate about emerging cloud and AI technologies, eager to build innovative solutions that enhance technology performance while naturally understanding the need for rapid delivery balanced against business risk and operational constraints. You appreciate the importance of security, governance, and cost discipline in enterprise cloud deployments, especially when enabling AI capabilities that require strong data protection and regulatory alignment. You have excellent communication and organizational skills, working effectively both independently and as part of cross-functional teams across Technology Infrastructure, Cybersecurity, Application Development, and Front Office stakeholders. Your commitment to continuous improvement is evident in both learning from others and sharing knowledge to enhance team capability and platform maturity   BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: The managed cloud offering from Neo4j is called Aura (DBaaS) and we are now looking to expand our Aura team with more skilled Engineers. As of today, Aura is running hundreds of managed Kubernetes clusters in production across multiple CSPs and brings the power of the Neo4j Graph Intelligence Platform.  Now, we are looking for experienced Software Engineers with Kubernetes experience to join our Networking team to develop the system further to handle future load and functionality. THE ROLE: * Collaborate with your team to design, develop, and maintain the cloud networking foundation that powers our cutting-edge solutions. * Partner closely with teams across Neo4j’s cloud organization, Aura, to shape and deliver an ambitious roadmap for cloud networking as we scale globally. * Tackle complex and exciting engineering challenges in a rapidly growing area of focus, where your work will directly influence the performance, reliability, and scalability of our platform. REQUIRED AREAS OF EXPERIENCE: * Advanced knowledge of Google Cloud, AWS and/or Azure * Agile software development within a team environment * Good working knowledge of Go * Experience building and operating software on Kubernetes * Cloud Networking and Kubernetes Networking fundamentals * Working in a 24/7/365 SaaS environment * Solid understanding of DNS, TLS, mTLS, SNI and L4/L7 Proxies (Envoy) * Build and deployment pipelines employing continuous delivery NICE TO HAVE AREAS OF EXPERIENCE: * Multi Tenancy Environments * GCP Private Service Connect * AWS/Azure PrivateLink * Writing Kubernetes Operators * Kubernetes internal networks (Cilium, eBPF, Traefik, Calico, Linkerd, Istio, Consul) * Kubernetes network security * Architecting for high availability #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

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