Full-stack Solution Architect

SOLUTIONS ARCHITECT Location: UK-based — Customer-Site Travel Required ABOUT NEXGEN CLOUD NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world’s most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature. We’re a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practise what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like. THE ROLE: SOLUTIONS ARCHITECT This role exists because our pipeline of technically complex, high-value GPU cloud opportunities is growing — and winning them requires more than a great sales team. The Solutions Architect sits at the intersection of sales, infrastructure, and the customer, translating complex workload requirements into technically sound, commercially viable solutions on the Hyperstack platform. You’ll be the primary technical authority through the sales cycle: engaging directly with prospective and existing customers, producing detailed solution designs, and ensuring that what is proposed can actually be delivered to the standard committed. This is a role for someone who is equally comfortable in a customer meeting and a technical design review — someone who earns trust through depth, not slides. WHAT YOU’LL BE DOING Rather than a long checklist, here’s what success in this role looks like: * Own the technical sales cycle end-to-end — from initial customer brief through architecture design, proposal, and delivery handover — acting as the primary technical authority for GPU cloud solution design. * Engage directly with prospective and existing customers to understand workload requirements, technical constraints, and commercial objectives, producing detailed solution designs including architecture diagrams, network topology, storage configurations, and GPU resource allocation models. * Collaborate closely with Pre-Sales Engineering, Data Centre, Infrastructure, and Network Engineering teams to validate delivery feasibility before commitments are made to customers. * Build and maintain a library of reference architectures and solution templates spanning AI/ML training, inference, HPC, and rendering workloads — accelerating the sales cycle and improving proposal consistency across the team. * Develop high-quality technical proposals, RFP responses, and statements of work, supporting commercial discussions with clear scoping, realistic estimates, and honest risk assessments. * Define and maintain comprehensive Bills of Materials (BoMs) for all proposed solutions, ensuring accuracy for procurement, provisioning, and margin review. * Feed back recurring customer requirements and competitive intelligence to engineering leadership, directly influencing the Hyperstack product roadmap. ABOUT YOU We’re more interested in how you think and work than in a perfect CV. You’ll likely come from an HPC, AI infrastructure, or high-performance cloud background and bring a combination of the following: ESSENTIAL * Proven experience in HPC or AI software stack design and delivery at scale — including workload profiling, scheduler configuration (SLURM, PBS, or equivalent), MPI/NCCL tuning, and distributed training frameworks such as PyTorch, JAX, or DeepSpeed. * Deep understanding of GPU software environments: CUDA, cuDNN, NCCL, driver stacks, and the tooling required to run large-scale AI training and inference workloads reliably in production. * Hands-on experience optimising AI and HPC workloads across multi-GPU and multi-node configurations — including profiling, bottleneck identification, and performance tuning at both the application and infrastructure layer. * Strong working knowledge of containerisation and orchestration in HPC/AI contexts: Docker, Kubernetes, NVIDIA GPU Operator, and container-native workload management. * Background in an OEM, hyperscaler, neo-cloud, or enterprise/research HPC environment, with demonstrable exposure to the full design-to-deployment lifecycle for GPU-accelerated workloads. * Ability to produce clear, professional technical documentation and architecture diagrams suitable for both engineering and board-level audiences. * Confident engaging with customers, vendors, and internal engineering teams as a technical authority — able to translate complex software and performance trade-offs into clear, actionable decisions. NICE TO HAVE * Experience with large-scale cluster performance benchmarking — NCCL tests, MLPerf, or equivalent — and familiarity with what good looks like across different GPU generations and topologies. * Exposure to MLOps tooling and AI platform layers: experiment tracking (MLflow, W&B), model serving frameworks (Triton, vLLM), and pipeline orchestration (Kubeflow, Airflow). * Familiarity with InfiniBand and high-performance networking as it relates to distributed training performance — sufficient to engage credibly with network and infrastructure teams on topology and tuning decisions. * Commercial awareness: experience contributing to BoMs, technical proposals, or RFP responses in a pre-sales or customer-facing technical role.   WHAT WE OFFER * Competitive salary and annual discretionary bonus scheme. * Employee wellbeing benefits. * 25 days of holiday, plus public holidays. * Flexible working arrangements, with regular customer-site travel as part of the role. * Real ownership and autonomy — you’ll have direct influence over the technical win rate on some of our most strategically important opportunities. * The chance to work at the cutting edge of GPU cloud infrastructure, with a platform purpose-built for AI, ML and HPC workloads. * Clear career progression and growth opportunities in a fast-growing company. * A collaborative, international culture built on trust, transparency, and ownership. * The opportunity to shape how NexGen Cloud is positioned and perceived in a competitive and fast-moving market. MORE INFORMATION Head over to our NexGen Cloud careers page to view current openings and follow us on LinkedIn and X to learn more about our journey, newest releases and exciting news from the neocloud space.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Assignment Description We are looking for an experienced Full-Stack Developer What You Will Work On Design, develop, and maintain modern full-stack applications supporting partner-enabled digital services. Lead technical implementation together with Solution Architects and Project Managers. Develop scalable backend services using Node.js and TypeScript. Build responsive frontend applications using React.js and modern web technologies. Design and implement reusable components, APIs, and service enablers. Collaborate with cross-functional teams to translate business requirements into technical solutions. Support solution architecture and contribute to technical roadmaps. Design scalable, maintainable, and high-performing cloud-native applications. Build and maintain serverless solutions on AWS. Develop and manage Infrastructure as Code using AWS CDK or similar technologies. Ensure seamless integration between frontend, backend, APIs, and cloud services. Perform code reviews and promote engineering best practices across the development team. Implement automated testing, quality assurance, and performance optimization strategies. Produce technical documentation, development guidelines, and reusable engineering patterns. Share knowledge through technical discussions, mentoring, and onboarding activities. Evaluate emerging technologies and frameworks to improve development efficiency. Explore and apply AI-assisted software development practices to increase productivity and code quality. Contribute to the continuous evolution of partner platforms, APIs, and digital services. What You Bring Minimum 5 years of experience in full-stack software development. University degree in Computer Science, Software Engineering, Information Technology, or a related field. Strong expertise in TypeScript and modern full-stack application development. Hands-on experience with Node.js and React.js. Deep knowledge of AWS cloud services and serverless architectures. Experience developing cloud-native applications and distributed systems. Strong experience with Infrastructure as Code using AWS CDK or similar frameworks. Experience designing and developing RESTful APIs and backend services. Solid understanding of software architecture, scalability, maintainability, and performance optimization. Experience working in Agile software development environments. Knowledge of automated testing, code quality practices, and CI/CD pipelines. Strong analytical and problem-solving skills. Experience collaborating with architects, project managers, designers, product owners, and business analysts. Excellent communication skills and ability to explain technical concepts to both technical and non-technical stakeholders. Interest in AI-assisted development and modern software engineering practices. Experience in the automotive industry is considered an advantage. Familiarity with developer platforms, partner ecosystems, and API-driven services is beneficial. Fluent in English, both written and spoken. Valid Swedish work permit if you are not an EU citizen. Self-driven, proactive, collaborative, and comfortable taking technical ownership in complex software development projects.