This role involves designing, building, and operating secure, scalable AWS platforms. You will work hands-on with multi-disciplinary teams, support application and platform workloads, and contribute to continuous improvement of cloud platforms and delivery pipelines.
Operate and maintain critical IT infrastructure in a high-performance AI cloud data center environment. Perform hands-on hardware diagnostics, server installations, network cabling, and system repairs across GPU-powered clusters. Support 24/7 operations through shift work and on-call rotations, ensuring reliability and uptime for large-scale compute systems.
This role involves owning full-solution validation, production stability, and hands-on troubleshooting of large-scale GPU-accelerated infrastructure projects. You will work closely with customers, partners, and cross-functional teams to ensure smooth deployment, optimization, and maintenance of HPC and AI systems, leveraging Kubernetes, KubeVirt, Slurm, and other open-source tools.
This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will engage with customers, partners, and cross-functional teams to architect and guide the implementation of complex infrastructure projects, focusing on Kubernetes, HPC, and AI workloads.
This role involves analyzing cloud resource consumption, forecasting demand, and managing capacity expansion across data centers. The candidate will coordinate cross-functionally with engineering, procurement, and operations teams to ensure timely deployment of compute and storage infrastructure. It is a data-driven position focused on identifying capacity risks and translating forecasts into actionable hardware scaling plans.
This role involves serving as the primary technical contact for customers using CoreWeave's AI-optimized cloud infrastructure, with a strong focus on networking within high-performance computing and Kubernetes environments. The engineer will lead proof-of-concept deployments, optimize customer workloads, and contribute to product development by providing field insights. It combines hands-on technical delivery with strategic input into networking architecture and performance optimization for AI workloads.
This role involves designing, building, and maintaining high-performance, fault-tolerant network infrastructure at scale across hybrid and multi-cloud environments. The engineer will work on IP and optical technologies connecting data centers, lead capacity planning and reliability improvements, and contribute to automation through infrastructure-as-code and CI/CD pipelines. The position requires deep expertise in large-scale networking protocols and cloud platforms, with an emphasis on innovation, operational excellence, and 24x7 on-call support.
The Fiber Deployment Engineer is responsible for driving the delivery of data center infrastructure and fiber deployment projects across EMEA and the Nordics. This role involves extensive travel, onsite coordination with internal and external teams, technical troubleshooting, and ensuring alignment on project priorities and risks.
Lead large-scale SOC transformation and XSIAM deployment programs for enterprise customers, providing strategic advisory and technical expertise to modernize security operations. Architect detection strategies, optimize log ingestion, and drive automation using AI-powered platforms. Mentor cross-functional teams and collaborate with product teams to influence future roadmaps based on field insights.
A Solutions Consultant in Higher Education and Research at Palo Alto Networks provides technical leadership in shaping customer security transformations, translating complex cybersecurity solutions into strategic business value. The role involves deep discovery, solution design, and technical validation across the full PANW portfolio, with a focus on cloud, network, and SOC security. Collaboration with cross-functional teams ensures successful implementation and customer adoption in complex, multi-product sales environments.
This role involves designing, implementing, and operating large-scale, multi-vendor, multi-cloud network infrastructure for CrowdStrike’s global data centers and cloud environments. The engineer will use infrastructure-as-code (Terraform, Ansible) and automation (Python, Go) to deploy and manage networks at scale, with a focus on performance, resilience, and compliance. Key responsibilities include troubleshooting complex issues, supporting AI-driven workflows, and ensuring adherence to security standards like ISO 27001, GDPR, and PCI-DSS.
The Design Manager will oversee the technical design and permitting of AI-optimized data centres across Europe, working closely with internal and external teams to ensure world-class standards, timely delivery, and adaptability to evolving AI compute needs. Key responsibilities include managing the full lifecycle of data centre design, coordinating with local authorities for permits, and ensuring high-quality, code-compliant deliverables.
Leads infrastructure modernisation programmes including cloud migration, legacy system decommissioning, and platform upgrades across ICAEW's technology estate. Acts as a servant leader for technical squads, ensuring delivery within governance frameworks while aligning with long-term technology strategy and mitigating risks. Works closely with architecture, suppliers, and stakeholders to ensure successful, compliant change delivery.
This role involves leading technical discovery and solution design for AI and ML infrastructure with enterprise and research clients across Northern EMEA. The Account Solution Architect collaborates closely with sales and account management to design and validate solutions spanning GPU compute, Kubernetes orchestration, MLOps tooling, and high-performance networking. The position demands deep technical fluency across the AI stack and regular engagement in proof-of-concept deployments and architecture reviews.
This role involves designing, building, and operating scalable cloud infrastructure on AWS and GCP, focusing on Securities Financing trading and post-trade platforms. Responsibilities include infrastructure-as-code, microservices, CI/CD, and data integration, with a strong emphasis on DevOps and collaboration with business stakeholders.
The Cyber Data Engineer will join a globally distributed security analytics team, focusing on migrating the firm’s cyber data lake from Splunk to CyberELK. Key responsibilities include developing automation tools, onboarding data sources, optimizing Elasticsearch performance, and providing consultancy and troubleshooting support.
