Hybrid Cloud Engineer

No prior experience needed; comprehensive training provided!Embark on a rewarding journey into the world of Cloud Computing.The demand for AWS Cloud Computing Engineers is soaring due to a significant skills gap in the industry.We collaborate with a diverse network of employers eager to hire newly trained individuals who are enthusiastic about launching a career in Cloud Computing.Our training programs equip you with the essential knowledge, skills, and certifications to thrive in this field. Upon completion, we connect you with our network of employers to fill crucial roles within this dynamic sector.Join our complimentary AWS Career Webinar by clicking 'Apply for this job', and we will provide you with the registration link. After participating in this free online event, you can decide if this career path aligns with your aspirations.

Role overview Biffa is hiring an Engineering Trainee (Engineering Mate/Improver) to join the team at the Edmonton Recycling MRF in London. This entry-level position is aimed at individuals with limited mechanical experience who want to develop their skills and work toward becoming a fully qualified Technician. Biffa will sponsor local college qualifications as part of the training and development process. Location and working hours Based at Edmonton, London Option to work Monday to Thursday or Tuesday to Friday Shifts run 6am to 6pm, four days per week What you will do Respond to operational engineering needs as directed by the Engineering Supervisor to help reduce downtime Follow safety policies and procedures to maintain a safe workplace Work on plant and machinery to identify and correct faults Assist with both preventative and breakdown maintenance on site equipment Participate in Root Cause Analysis (RCA) to identify causes of failures and help prevent recurrence Identify potential faults and suggest improvements for efficiency or reliability Maintain a tidy and organized workplace, including tools and engineering facilities Who this role suits This position is well suited for those beginning a career in mechanical engineering who want practical experience and a clear path for progression within Biffa’s operations. Compensation Competitive salary offered.

About The Dot CollectiveWe are an innovative consultancy operating across the UK and EU, dedicated to engineering excellence and empowering individuals to create significant impacts.Our projects utilize modern technology stacks and follow agile scrum methodologies.About YouAre you excited about the transformative power of data? Do you thrive on making substantial contributions in a short timeframe? If so, you might be the perfect fit for our team.

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.

Join our dynamic team at PA Consulting as a Cloud DevOps Engineer, where you'll play a pivotal role in transforming the way our clients harness cloud technologies. Your expertise will help streamline operations, enhance cloud infrastructure, and ensure seamless integration across systems.In this role, you will collaborate with cross-functional teams to design, implement, and manage cloud solutions that meet business needs, driving efficiency and innovation. You will be responsible for automation, monitoring, and optimizing cloud environments to ensure high availability and performance.

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.

Role overview DV Trading is looking for a Senior Cloud Engineer to help shape and support the cloud infrastructure behind their trading operations. This role offers flexibility in location, with options to work from Chicago, London, New York, or remotely. What you will do Design and build scalable cloud solutions that power trading systems Maintain and refine existing cloud infrastructure to ensure stability and performance Collaborate with teams across the company to deliver reliable, efficient systems Use cloud technology expertise to support and enhance trading strategies Locations Chicago London New York Remote

Role overview DV Trading is hiring a Senior Cloud Engineer to strengthen its cloud infrastructure in support of trading operations. The position is based in London and centers on both improvement and ongoing maintenance of cloud systems critical to the business. What you will do Develop and implement cloud solutions aimed at increasing reliability and scalability. Enhance the performance of trading platforms through targeted system improvements. Collaborate with teams across the company to design and refine cloud strategies. Use technical expertise to streamline processes and improve efficiency within the technology stack. Location This role is located in London.

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.

Join Wiz, a pioneering force in cloud security, as a Cloud Security Research Engineer. In this pivotal role within our Product team, you will be instrumental in fortifying our customers' cloud infrastructures against cyber threats. Your innovations will not only enhance our security offerings but also contribute significantly to customer success and the advancement of cloud security technologies.

Who are we?At Ki Insurance, we are at the forefront of innovation in the insurance industry. We're not just insuring everyday things; we're insuring space shuttles, global tours, wind farms, and even the legs of footballers!Our mission is clear: to digitally disrupt and revolutionize a market that has been around for 335 years. In collaboration with Google and UCL, we've developed a platform that leverages algorithms, machine learning, and large language models, allowing insurance brokers to receive quotes in seconds instead of days.Ki proudly stands as the largest global algorithmic insurance carrier and has rapidly become the fastest-growing syndicate in the Lloyd's of London market, achieving an impressive $100 million in profit within just three years.Our teams come from diverse backgrounds and collaborate in an agile, cross-functional manner to create the best customer experience possible. With ambitious goals ahead, we’re looking for brilliant minds to challenge the status quo and help us reach new heights.Where do you fit in?As a Senior Cloud Security Engineer, you will closely collaborate with engineering teams across Cloud Services, Infrastructure, and Product teams to integrate risk-aware technical security controls into our services, products, and development workflows.Your responsibilities will include designing, implementing, and managing robust security measures across our cloud platforms. You will work in tandem with cross-functional teams to devise security strategies, automate security processes, and proactively detect and address potential threats. This position will also involve developing cloud-native security tools, automating our processes, and leveraging infrastructure as code.Moreover, this role will utilize AI to responsibly build automation and agentic AI workflows, enhancing productivity while ensuring data protection and appropriate security controls are upheld.What will you be doing? Cloud Security Architecture & Design:Design and implement security architectures for cloud systems, including GCP, Azure, AWS, or hybrid environments.Develop secure cloud architectures for AI/LLM workloads and AI-enabled services, focusing on isolation patterns, secure networking, and hardened runtime configurations.Ensure security configurations and infrastructure are reproducible through infrastructure-as-code (IaC), specification-driven development (SDD), and automated deployment pipelines.Automate cloud security processes utilizing agentic AI tools.Implement robust security measures across our cloud platforms.Provide insights and suggestions for improvements on Ki's current architecture.Security Governance & Policy:Establish and enforce security policies, standards, and guidelines for cloud services.Ensure compliance with regulatory requirements such as ISO 27001, SOC 2, SOX ITGC, NIST, GDPR, and others.Conduct security assessments and audits to identify vulnerabilities and remediate them accordingly.

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:We are looking for a talented Data Engineer to contribute significantly to a vital client initiative. This role will involve the design, construction, and optimization of data pipelines within a cloud-centric data and analytics ecosystem. The ideal candidate will possess a solid foundation in data engineering principles, a commitment to delivering reliable solutions, and the capability to work collaboratively with both technical and business teams.Key Responsibilities:Data Engineering & Pipeline DevelopmentDesign, build, and sustain scalable data pipelines for both batch and streaming workloads.Develop robust ingestion, transformation, and curation processes using contemporary data engineering tools and methodologies.Create and maintain data models, curated datasets, and integration layers to facilitate analytics and reporting.Enhance data processing for optimum performance, reliability, and cost-effectiveness.Data Quality, Governance & SecurityEstablish data quality checks, validation processes, and automated monitoring.Ensure comprehensive and accurate data lineage, metadata management, and documentation.Implement necessary security measures, including role-based access controls, data masking, and protection of sensitive information.Cloud & Platform EngineeringUtilize cloud-native services for storage, compute, and workflow orchestration.Oversee pipeline and platform performance, identifying and resolving any issues or bottlenecks.Assist in configuring environments, standardizing processes, and implementing best practices.DevOps, Automation & ObservabilityLeverage CI/CD practices to deploy code, configurations, and data assets across different environments.Maintain version control, engage in code reviews, and adhere to release processes.Construct monitoring, alerting, and logging systems to support high-quality operations and quick issue resolution.Collaboration & DeliveryWork closely with technical and business stakeholders to ensure alignment and successful project delivery.

Join SWGroup as a Cloud Engineer and be part of an innovative team dedicated to enhancing cloud infrastructure and services. You will play a pivotal role in designing, implementing, and managing scalable cloud solutions that drive efficiency and performance. This is an exciting opportunity to work with cutting-edge technologies in a collaborative environment.

Join Cloudscaler as an AWS Cloud Engineer!Location: London, UKAt Cloudscaler, located in the heart of London, we proudly serve clients across the UK. This role requires some travel to customer sites, varying by client, with potential onsite commitments of up to 3 days each week. Notably, one of our clients mandates an onsite presence in Bath once every two weeks.Salary: £45,000 - £70,000Security Clearance Requirements:Due to our collaborations with government entities, SC clearance is essential for our client-facing teams. While active SC clearance isn't required at the outset, candidates must be eligible to obtain it. Future roles may necessitate DV clearance, so a willingness to pursue this is a plus.Note: We can only accept applications from individuals based in the UK.About UsAt Cloudscaler, we specialize in AWS landing zones, cloud risk mitigation, and cloud operating models. As thought leaders, we partner with both public and private sector enterprises to help them fully leverage cloud technology.Why Join Us?We prioritize our people and believe that high-performance teams are forged through openness, collaboration, and trust. We offer ample opportunities for connection, idea sharing, and collaboration, both inside and outside of work. Our inclusive culture is bolstered by regular team socials, quarterly company days, and monthly town halls.Acknowledging that each team member brings unique skills and experiences, our tailored learning and development programs support individual growth, helping you navigate our transparent career pathways to meet your professional goals.What We’re Looking ForWe seek AWS Cloud Engineers with experience in AWS Landing Zones, who have hands-on experience in building, testing, packaging, deploying, and operating AWS platforms. An understanding of managing multi-tenant platforms and applying SRE principles is advantageous.

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.

Join the innovative engineering team at Chainalysis, where our mission is to tackle the most complex technical challenges and develop products that foster trust in cryptocurrencies. As a global organization with teams across the UK, Denmark, Canada, and the USA, we thrive on the dynamic nature of our industry and the collaborative spirit of our exceptionally talented teammates. Our goal is to create a flexible platform that adapts to rapid changes in the market.We are seeking passionate Software Engineers to become integral members of our Data Cloud team. This team plays a vital role in driving innovation and unlocking new business opportunities by enabling everyone at Chainalysis to efficiently discover, access, analyze, and utilize data. You will be instrumental in designing and optimizing our data platform and processing systems. If you are enthusiastic about infrastructure automation, cloud services, and building scalable platforms for next-gen real-time streaming data applications, we invite you to join our talented and expanding team!Key Responsibilities:Design, develop, and refine high-performance, scalable data platforms, focusing on streaming data processing, handling large data volumes, and optimizing cloud infrastructure.Implement and uphold infrastructure automation and self-service capabilities using Terraform, ensuring reliable and repeatable environments for both development and production, alongside robust CI/CD pipelines.Facilitate seamless integrations between Data Cloud and various relational and NoSQL OLTP databases.Create and develop frameworks and abstractions that speed up data pipeline development while embedding data engineering best practices.Establish and maintain observability, security, and data governance solutions to guarantee the quality and reliability of data pipelines.Qualifications:A minimum of 3 years of experience as a Data Platform Engineer, Software Engineer, or Infrastructure Engineer, including hands-on expertise in constructing and maintaining cloud-based data platforms.Significant experience with AWS services, a solid understanding of cloud architecture, and proficiency in Terraform for cloud infrastructure management.Experience in building streaming data pipelines utilizing technologies such as Apache Flink, Apache Kafka, Spark Structured Streaming, or similar.Understanding of modern data lake architecture and data engineering best practices.

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.

Join Our Team as an Azure Cloud EngineerAppvia is seeking a talented Azure Cloud Engineer to join our expanding Azure practice in London. This position requires eligibility for UK Security Clearance.Location: London, UK (Hybrid - approximately 1-2 days per week in the office)Contract: Permanent, Full-timeSalary Package: £50,000 – £60,000 + 10% bonus + 10% shares + comprehensive benefitsAbout AppviaAt Appvia, we specialize in cloud platform engineering and AI enablement, empowering organizations to design, build, and operate modern cloud platforms at scale. Our collaborations with public and private sector entities focus on modernizing infrastructure, enhancing developer productivity, and instilling robust platform engineering practices. Our expertise spans across AWS, Azure, Data & AI, and software delivery, assisting clients in adopting cloud-native methodologies that facilitate reliable and scalable digital services.Your RoleAs a mid-level Azure Cloud Engineer, you will bridge traditional cloud engineering, Site Reliability Engineering (SRE), and platform engineering, ensuring the reliability, automation, and daily operation of modern Azure environments. Collaborate closely with senior platform engineers to maintain, improve, and automate cloud infrastructures, while supporting development teams working on Azure. A pivotal aspect of your role will involve utilizing Terraform and Azure Kubernetes Service (AKS) to ensure platform stability, security, and scalability, contributing to ongoing enhancements in automation and delivery.This position is designed as a growth pathway into Platform Engineering, providing opportunities to deepen your expertise in infrastructure automation, Kubernetes, and contemporary DevOps practices while learning from seasoned consultants and engineers.Interview ProcessInitial discovery conversation with Talent AcquisitionTechnical assessment interview with the Engineering teamFinal interview with Engineering LeadershipWho You AreYou are an engineer passionate about resolving infrastructure and reliability challenges while continuously enhancing automation and operational protocols. You likely possess:Experience with Microsoft Azure environmentsFamiliarity with Terraform or similar Infrastructure-as-Code toolsExperience with containerization and AKSA keen interest in DevOps, platform engineering, and cloud automationExcellent communication skills and the ability to collaborate effectively with engineering teamsYour curiosity, pragmatism, and ambition to evolve into a more senior platform engineering role will make you a valuable addition to our team.