Presales Engineer - AI Cloud Infrastructure

Role overview The Presales Engineer - AI Cloud Infrastructure position at NexGen Cloud is based in London, UK, with a hybrid work arrangement. This role sits within the Sales department and reports to Sales Leadership for Hyperstack, the company’s AI cloud platform. What you will do This role connects prospective clients, the sales team, and internal engineering as NexGen Cloud’s technical offerings become more advanced. The focus is on supporting the commercial pipeline by guiding customers through technical decisions and shaping solutions that fit their needs. Lead technical discovery sessions to understand what customers require Design AI cloud solutions tailored to each client’s goals Facilitate in-depth technical conversations with customers and internal teams Ensure solutions are delivered with accuracy and meet client expectations About NexGen Cloud NexGen Cloud powers Hyperstack, an AI cloud platform used by clients ranging from AI researchers to large enterprises with demanding computational workloads. The company provides on-demand and private GPU infrastructure, focusing on high-performance solutions where speed and reliability matter most. The team values close collaboration and works at the forefront of AI cloud technology. Employees across NexGen Cloud use AI tools to solve technical challenges, deliver solutions quickly, and set new standards for enterprise GPU infrastructure.

About Our TeamJoin the Applications Engineering team, a dynamic group that collaborates across research, engineering, product management, and design to deliver cutting-edge AI solutions for consumers and businesses alike.As a member of our team, you will play a vital role in managing the essential infrastructure that underpins products like ChatGPT and our API. This encompasses our Kubernetes clusters, infrastructure deployment, networking architecture, cloud abstractions, and much more.We are committed to learning from our deployments and spreading the advantages of AI while ensuring its responsible and safe application. For us, safety takes precedence over unrestricted growth.Role OverviewOur cloud infrastructure team is dedicated to constructing and sustaining infrastructure abstractions that empower OpenAI to deliver products efficiently and at scale.Key Responsibilities:Design and develop robust development and production platforms that ensure reliability and security at scale.Guarantee that our infrastructure is poised to scale for future demands.Foster a diverse, equitable, and inclusive environment that encourages openness, welcome, and the challenging of conventional thinking.Participate in the overall responsibility for system reliability, including an on-call rotation for critical incidents.Ideal Candidate Profile:5+ years of experience in building core infrastructure systems.Skilled in operating orchestration systems, particularly Kubernetes, on a large scale.Experience in creating abstractions over various cloud platforms.Pride in developing and managing scalable, reliable, and secure systems.Comfortable navigating ambiguity and adapting to rapid changes.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good of humanity. We continuously push the boundaries of AI capabilities and are focused on the safe deployment of these technologies through our innovative products. Our mission is to prioritize safety and human needs while embracing diverse perspectives, ensuring that our AI tools are developed responsibly.

At Coram AI, we are revolutionizing video security in today's digital landscape. Our innovative cloud-native platform leverages cutting-edge computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid response capabilities. Experience real-time alerts, effortless clip sharing, and comprehensive visibility across multiple sites.Joining our dynamic, agile team means embracing clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a vital role in shaping how AI can foster a safer and more interconnected world.In this role, you will be part of a pioneering team responsible for managing a sophisticated infrastructure that transcends conventional cloud setups. Beyond our robust AWS and Kubernetes configurations, we also oversee a vast array of IoT devices. We are in search of a skilled engineer who will play a crucial role in developing and maintaining our edge and cloud stack that supports our IoT product offerings, focusing on both infrastructure and the bespoke software we utilize.You will tackle intriguing challenges at the confluence of user experience, machine learning, and infrastructure, while committing to excellence, continuous learning, and delivering exceptional products in a fast-paced startup environment.

Join our dynamic team at Shawbrook as a Cloud Infrastructure Engineer, where you will play a crucial role in designing, implementing, and maintaining our cloud infrastructure. Your expertise will help us leverage the latest technologies to deliver robust and scalable solutions that meet our clients' needs.

About UsAt Perlego, we are dedicated to revolutionizing education by making it accessible to everyone. In this digital era, we believe that learning should be available to all, anytime, anywhere. Knowledge should not be confined by exorbitant costs.Over the last seven years, our mission has focused on empowering students across the UK and Europe to access high-quality books. We aim to expand our reach globally, particularly into the US market, and create a platform that transcends traditional books by aiding students in studying more efficiently and effectively.Your RoleWe are in search of a seasoned Cloud Infrastructure Engineer with extensive experience in AWS services and monitoring tools. In this critical role, you will be responsible for ensuring the availability and reliability of our services. You will play a key role in promptly addressing issues, resolving incidents autonomously, and thriving in a dynamic environment.Key Responsibilities:Cloud Infrastructure Management:Administer and support our AWS infrastructure, emphasizing scalability, security, and reliability.Manage deployments and oversee CI/CD pipelines for both containerized (Docker/ECS) and serverless (AWS Lambda) applications.Implement effective backup and recovery strategies to minimize downtime.Oversee operational and analytical data stores, including Aurora MySQL, DynamoDB, and Databricks.Monitoring & Incident Management:Utilize tools such as Prometheus, Grafana, and AWS CloudWatch to monitor platform activity.Swiftly respond to alerts and incidents, independently resolving issues to maintain service uptime.Conduct post-incident reviews and enhance system resiliency through automation and monitoring improvements.Analyze network activity using AWS Security Hub and Cloudflare.Collaboration & Communication:Work collaboratively with cross-functional teams to implement platform enhancements.Demonstrate the ability to make swift decisions independently, especially when managing service incidents outside regular business hours.Support platform security and adhere to best practices for cloud security and compliance.Continuous Improvement:Automate repetitive processes to minimize human error and enhance efficiency.Continuously refine monitoring systems to ensure robust early detection and resolution capabilities.Identify and address potential performance bottlenecks.

Role overview NexGen Cloud seeks a Business Development Manager to focus on AI cloud and infrastructure solutions. This hybrid role is based in London, UK, with in-office work required from Tuesday through Thursday each week. What you will do Identify and secure new customers in the AI cloud and infrastructure market Develop and manage a sales pipeline, targeting the growing demand for GPU cloud services Pursue high-potential accounts, working alongside an experienced team and leveraging advanced technology Requirements Demonstrated success in business development or sales, preferably in cloud, infrastructure, or AI sectors Ability to work independently and take initiative to achieve goals Interest in contributing to a rapidly growing market and seeing direct results from your efforts Adaptability in environments where priorities may shift quickly Location and schedule This position is based in London, UK. The hybrid schedule requires in-office presence on Tuesday, Wednesday, and Thursday.

Join the innovative team at Perplexity AI as an AI Infrastructure Engineer. We harness cutting-edge technologies, including Kubernetes, Slurm, Python, C++, and PyTorch, primarily within the AWS ecosystem. In this role, you will collaborate intimately with our Inference and Research teams to design, deploy, and enhance our extensive AI training and inference clusters.

Join Anduril Industries, a pioneering defense technology company dedicated to revolutionizing military capabilities through advanced technology. As a Senior Cloud Engineer, you will be an integral part of our Multinational Digital Infrastructure team, responsible for designing, deploying, and maintaining robust cloud environments that support sovereign and multinational military systems. Your work will directly contribute to enhancing Anduril’s global Maritime and AUKUS missions, ensuring our infrastructure is secure, scalable, and capable of meeting evolving mission requirements.

About ClickHouseFeatured on the prestigious 2025 Forbes Cloud 100 list, ClickHouse stands as a pioneering and rapidly expanding private cloud enterprise. With an impressive client base exceeding 3,000 and an annual recurring revenue (ARR) that has surged over 250% year-on-year, ClickHouse is at the forefront of real-time analytics, data warehousing, observability, and AI workloads.Our remarkable growth trajectory was recently underscored by a substantial $400 million Series D funding round. In the last quarter alone, notable clients like Capital One, Lovable, Decagon, Polymarket, and Airwallex have either adopted or enhanced their use of our platform. They join a diverse roster of innovators in AI and global brands such as Meta, Cursor, Sony, and Tesla.Join us on our mission to revolutionize data utilization for businesses. Be a part of our exciting journey!About the TeamThe Cloud Infrastructure Engineering team is dedicated to constructing and maintaining the essential components of ClickHouse Cloud's data plane. This encompasses computing, networking, security, and a multi-cloud, multi-region architecture designed to deliver a reliable and scalable managed ClickHouse experience for our customers. We are in search of highly skilled and experienced cloud infrastructure software engineers to join our team, responsible for the design, deployment, and maintenance of our infrastructure.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have collaborated with over 350 global clients to enhance their operations through human-centric AI. Discover our significant impact here.We prioritize genuine innovation over fleeting trends, developing and implementing responsible AI solutions that truly make a difference. Our extensive technical, product, and delivery expertise supports clients across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation grow rapidly, we constantly seek individuals who share our passion for intellectual exploration and aim to leave a positive impact through technology.Join us in harnessing AI's potential to create transformative solutions that shape the future.About Our TeamThe process of delivering medicine to patients is intricate, costly, and fraught with challenges. Faculty's Life Sciences team is dedicated to developing AI solutions that enhance the research and commercialization of groundbreaking therapies.We collaborate with leading pharmaceutical companies, academic research institutions, and MedTech startups to create and implement solutions that tackle pressing healthcare challenges and promote equitable health access.Role OverviewWe are seeking a Cloud Engineer to establish the foundational cloud infrastructure for applied artificial intelligence for our clients. In this role, you will design, build, and deploy secure, scalable cloud environments that support advanced data processing and machine learning workflows. Collaborating with a diverse team, you will tackle complex problems and empower our data scientists and ML engineers to efficiently implement their projects, influencing the future of AI applications.

Role overview Elliptic is hiring an AI Infrastructure Engineer in London, United Kingdom. This role focuses on building and supporting the technical foundation behind Elliptic's AI-driven financial technology products. What you will do Design and implement infrastructure for AI systems Maintain and improve the platforms that power Elliptic’s AI products Work with teams across the company to develop scalable, reliable solutions Monitor and optimize system performance to support product innovation

Ebury empowers ambitious businesses to unlock global growth, and we extend the same philosophy to our team members. We promote innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued, supported, and empowered to thrive.If you are a collaborative individual eager to transform how businesses operate on a global scale, we invite you to connect with us. Discover how Ebury can fast-track your career and help you shape the future.Senior Security Engineer - Cloud InfrastructureHybrid (4 days in office) in LondonEbury is making significant investments in its cloud infrastructure security to ensure the integrity and safety of our global financial services. As a Senior Security Engineer specializing in Cloud Infrastructure, you will be responsible for enhancing and managing the security posture of our cloud environments across AWS and GCP, focusing on network security, perimeter defense, and attack surface management.This hands-on position requires extensive expertise in cloud-native security controls, network architecture, and proactive defensive security operations. You will design, implement, and maintain security infrastructure that identifies and mitigates threats before they affect our operations. Collaborating closely with platform, infrastructure, and security operations teams, you will embed security best practices into our cloud foundations.Key ResponsibilitiesManage cloud security posture and attack surface: Ensure comprehensive visibility and control across AWS and GCP environments. Implement cloud-native security monitoring, detection, and alerting mechanisms to proactively identify and mitigate threats, establishing and enforcing security baselines through policy-as-code.Design and oversee web application firewall infrastructure: Maintain WAF configurations across AWS and GCP, creating and fine-tuning detection rules in line with application threat models and emerging attack patterns. Develop operational processes for rule management and incident response integration, collaborating with application teams to implement protections without disrupting availability.Architect network segmentation and isolation: Design and implement strategies ensuring proper separation between development, staging, and production environments. Define consistent patterns across multi-cloud infrastructure, apply zero-trust principles to workload communication, and document reference architectures for engineering teams.

Join CUBE, a pioneering global RegTech firm that is revolutionizing regulatory intelligence for the financial services sector. Our innovative SaaS solutions, enhanced by artificial intelligence, streamline the complexities of compliance for our clients.Why Choose CUBE? As a leader in Regulatory Technology, CUBE is a trusted partner to top financial institutions worldwide. In 2024, we celebrated over 50% growth through both organic developments and strategic acquisitions. Our dynamic team thrives on innovation, constantly enhancing our products, services, and operational excellence. We nurture a culture of ambition, empowering individuals to take charge of their careers and accelerate their growth from the outset. CUBE comprises over 700 skilled professionals across 19 countries in EMEA, the Americas, and APAC, united in our mission to transform regulatory compliance through diversity, collaboration, and purpose. As one of the first to leverage AI in regulatory intelligence, we continue to set the standard with our advanced technology solutions. You will collaborate with some of the brightest minds in AI research and engineering to develop impactful solutions that are reshaping regulatory compliance.Role Overview:As the Head of Infrastructure and Cloud Operations, you will lead and integrate CUBE's global infrastructure and operational teams. This position oversees the entire infrastructure lifecycle, from traditional on-premise systems to cloud-native platforms, alongside Tier 2 Production Support. You will ensure that infrastructure delivery remains scalable, reliable, and secure across our teams located in Manila, Australia, and the UK.

Join us at Solve Intelligence, where we are pioneering AI-driven infrastructure for the global Intellectual Property sector. We are seeking a talented Infrastructure Engineer to develop the secure and scalable systems that drive our innovative solutions. Your Role: As an Infrastructure Engineer, you will collaborate with a highly skilled engineering team in London. Your focus will go beyond server management; you will architect multi-region, high-performance systems capable of processing complex AI tasks.Key Responsibilities:Cloud Architecture: Design, implement, and optimize our AWS infrastructure using Terraform for maximum reliability, cost-effectiveness, and scalability.Global Deployment: Create infrastructure patterns to support multi-region deployments and isolated environments tailored for enterprise clients.Developer Efficiency: Build and maintain CI/CD pipelines (using GitHub Actions and Docker) that enable our team to deliver features swiftly and securely.Monitoring & Reliability: Implement observability practices using OpenTelemetry and Datadog to proactively identify and resolve issues before they affect users.AI Performance Optimization: Fine-tune autoscaling and network routing to efficiently handle resource-heavy LLM workloads with minimal latency. About Solve Intelligence: We are a rapidly growing startup reinventing the IP industry.Growth: Achieving 20-30% month-over-month revenue increases; currently serving over 200 global IP teams, including DLA Piper and various tech companies.Impact: Our users experience efficiency improvements of 50-90% through our AI solutions.Funding: Recently highlighted in Sifted, following our $40M Series B funding round, bringing our total investment to $55M from prestigious investors like Y Combinator, 20VC, and others. Your Team: Work alongside a founding group of AI PhDs and top-tier systems engineers.

Join MUBI as a Senior Infrastructure EngineerMUBI is a renowned global streaming service, production company, and film distributor committed to celebrating exceptional cinema. Our mission is to create, curate, acquire, and promote visionary films that reach audiences worldwide. With passionate teams collaborating across cities like London, New York, Istanbul, Paris, Berlin, and Mexico, we strive to make great cinema accessible to everyone.We invite you to be part of our vibrant global team and contribute to our mission.Role OverviewThis is not your conventional DevOps or ML infrastructure role. As a Senior Infrastructure Engineer, you will build and deliver innovative software solutions, including internal tools, services, and automated processes that address real infrastructure challenges. Your work will encompass automated incident response, intelligent observability, and support ticket management. You will apply agentic patterns to navigate the complexities of operational environments instead of training models or managing GPUs.We are seeking a senior candidate who excels in system architecture, mentors fellow engineers, and leads by example. Your background should include hands-on experience in developing infrastructure applications and tools, demonstrating a willingness to explore new systems, take ownership of challenges, and drive solutions to fruition.Our infrastructure team adheres to SRE principles, focusing on building reliable, automated systems and minimizing operational toil. You will be responsible for developing and maintaining the platforms that empower our engineering teams to deploy, scale, and monitor their services. Your responsibilities will span from managing bare-metal CDN servers to Kubernetes clusters and AI-enhanced workflows.Join us in a small team with high autonomy and direct impact, working in a hybrid model (2-3 days a week in London), with remote work options available for exceptional candidates outside the city.

Join Us at Smarkets!Leading the Future of BettingAt Smarkets, we operate one of the most advanced prediction markets in the world, with over £29 billion in transaction volume since our inception in 2010. Our platform attracts over 200,000 traders from around the globe, transforming the betting landscape across sports and political events by offering the most competitive prices and fair odds.Our technology stack is tailored for scalability, reliability, and performance, utilizing Linux, Kafka, Postgres, and Kubernetes, powered by Python 3, C++17, and React. We build infrastructure that businesses rely on while ensuring trading remains accessible to everyone. We've demonstrated resilience through every market phase, competition, and industry upheaval.The key to our success lies in our people. We foster a high-performance environment where top talent flourishes, merging extensive business acumen with a commercial approach to propel strategic growth.If you are ready to contribute to the evolution of prediction markets with innovative technology and a client-centric mindset, Smarkets is the perfect place for you.We are currently seeking a Senior Cloud Infrastructure Engineer to enhance our infrastructure and equip our developers with efficient, self-service tools and operational excellence.Your RoleAs a member of the Cloud Infrastructure Team, you will engage with real-time distributed systems that fuel our trading engine. Your primary responsibility will be to design and maintain scalable, secure, and high-performance cloud-based systems while developing platforms that enable our developers to operate quickly, deploy reliably, and scale seamlessly.This role is not just about creating cloud infrastructure; it's about fostering a highly autonomous environment where ownership is encouraged, experimentation is welcomed, and innovation is integral to our operations. You will define the foundation of our cloud-native architecture, harmonizing visionary infrastructure design with the practical demands of a rapidly growing, large-scale environment.This position is where infrastructure intersects with engineering productivity: part DevOps, part Platform Engineering, and 100% essential to our mission.Your ResponsibilitiesDesign and Own Infrastructure: Architect and maintain robust, cost-effective, and secure infrastructure on AWS using Terraform, Kubernetes, and cloud-native best practices.Champion Platform Engineering: Develop and enhance the internal developer platform (IDP) that empowers engineers to self-serve infrastructure, CI/CD, observability, and security tooling.

Intercom builds AI-powered customer service tools for businesses around the world. Our flagship AI agent, Fin, helps companies deliver 24/7 support and handle complex questions that sometimes require a human touch. Integrated with our Helpdesk, Fin forms part of the Intercom Customer Service Suite, which supports nearly 30,000 businesses globally. Founded in 2011, Intercom continues to set new standards for customer service by moving quickly, pushing boundaries, and delivering real value to clients. Role Overview The AI Infrastructure team at Intercom is looking for Senior AI Infrastructure Engineers in London. This group develops and maintains the systems that train and serve the next generation of Intercom’s AI models. The team’s work ranges from optimizing GPU architecture to building user-facing agents that handle millions of support requests each month. Engineers here design the training pipelines and manage inference for custom models like Fin Apex, which leads the industry in customer service performance. The team operates at the core of Intercom’s AI efforts. What You Will Do Design and scale training pipelines for large transformer and LLM models, including data ingestion, preprocessing, distributed training, and evaluation. Develop and improve inference services to deliver low-latency, reliable user experiences, covering autoscaling, routing, and fallback strategies. Optimize GPU-level performance by tuning kernels, improving utilization, and identifying bottlenecks in training and inference systems. Work closely with ML scientists to deploy advanced training and inference techniques. What We’re Looking For Hands-on experience with model training or model inference at scale, or low-level GPU programming (such as CUDA or Triton). Experience in more than one of these areas is especially valued.

About Heidi HealthHeidi Health is pioneering an AI Care Partner designed to assist clinicians throughout the entire care process, from documentation to service delivery.Our mission is to enhance healthcare capacity while ensuring that care remains fundamentally human. In just 18 months, Heidi has reclaimed over 18 million hours for clinicians and enabled more than 73 million patient interactions. Currently, our technology supports over two million patient visits each week across 116 countries in more than 110 languages.Founded by a team of clinicians, we unite professionals from various fields including engineering, design, science, and the arts, all driven by a common goal: to reinforce the vital human connection at the core of healthcare.With nearly $100 million in funding, we are expanding our reach across the USA, UK, Canada, and Europe, collaborating with leading health organizations such as the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health.We are agile where it counts and grounded in proven methodologies, shaping the future of healthcare. Are you ready to join us?Your RoleAs a Senior Solutions Engineer, you will act as the technical authority throughout the sales cycle, assisting prospects in grasping the potential of Heidi’s solutions, assessing integration feasibility, and ensuring a seamless transition to implementation.You will collaborate closely with Account Executives, Product, and Engineering teams to address complex enterprise requirements, including EMR integrations, SSO, custom data workflows, telephony systems (e.g., Twilio, WebRTC, SIP), and security architecture. Your technical expertise, customer-focused approach, and strong sense of ownership will be crucial to the success of every deal.Key Responsibilities:Technical Discovery & Qualification: Lead comprehensive technical discussions with enterprise and mid-market clients to identify integration, security, and compliance requirements.Solution Design: Partner with Product and Engineering teams to craft customized solutions that align with client needs and Heidi’s platform roadmap.Product Demos & Technical Presentations: Provide engaging demonstrations and architecture overviews to technical stakeholders, ensuring clarity and confidence in our solutions.

Join Aircall, a leading unicorn in the realm of AI-driven customer communications. Serving over 22,000 businesses globally, we are revolutionizing how customer interactions occur by integrating voice, SMS, WhatsApp, and AI into a unified workspace.Our approach is simple yet profound: we empower teams to work smarter. With innovations like our AI Voice Agent automating routine calls, AI Assist making post-call tasks efficient, and AI Assist Pro offering real-time support, we are driving higher revenues and enabling faster resolutions, allowing teams to scale confidently.Based in Paris, our European headquarters, we also have a strong presence in North America with our Seattle office, alongside teams located in Madrid, Berlin, San Francisco, New York City, Sydney, and Mexico City. Our product is beloved by customers and our business is rapidly expanding, supported by top-tier investors and propelled by swift AI advancements.At Aircall, you will be part of a dynamic, ambitious, and product-focused organization. We prioritize rapid decision-making, tangible results, and real growth, fostering a culture where every team member can make a significant impact.Our Work Culture: We are deeply customer-focused, data-oriented, and committed to achieving meaningful results. Emphasis is placed on ownership, continuous learning, and thoughtful execution. If you thrive in a collaborative and fast-paced environment where trust and impact are paramount, you will find your place with us.As an Infrastructure Engineer, your primary responsibility will be the management and operation of our AWS Cloud Infrastructure. Collaboration with peers and business teams is essential, and having hands-on experience with AWS is a prerequisite.

Intercom builds AI-powered customer service products for businesses worldwide. Nearly 30,000 companies use Intercom’s solutions to deliver support and improve customer engagement. The company’s AI agent, Fin, provides around-the-clock customer service and integrates with Intercom’s Helpdesk as part of the broader Customer Service Suite. For complex or sensitive queries, the suite enables seamless handoff to human agents. Role overview The AI Models Infrastructure Team sits within Intercom’s AI Group and develops the core systems for training and deploying proprietary AI models. As Engineering Manager for this team, lead a group of engineers focused on building and maintaining the technical foundation that powers Intercom’s AI capabilities. What you will do Guide and support a team of engineers working on AI infrastructure projects Oversee the design, development, and operation of systems for training and deploying AI models Stay current with advances in AI and infrastructure, applying new knowledge to team projects Foster technical growth and collaboration in a fast-evolving field What you bring Previous experience in AI or machine learning engineering Background in building and operating technical infrastructure Strong interest in deepening technical expertise Experience leading or mentoring engineers Location This position is based in London, England. Learn more About Intercom’s engineering culture: intercom.engineering About Fin: fin.ai