Cloud Operations Engineer Trainee

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 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.

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.

Are you passionate about cloud technology and seeking to leverage your skills in a dynamic environment? As a Hybrid Cloud Engineer at Syscogb, you'll play a crucial role in designing, implementing, and maintaining hybrid cloud solutions that enable our clients to achieve operational excellence. Collaborate with cross-functional teams to integrate new cloud technologies and optimize existing infrastructures.

Join our team as a Senior Data Engineer specializing in AWS!Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentAbout the RoleWe are seeking a talented Senior Data Engineer with expertise in AWS to be a key player in our dynamic team of engineering professionals. You will spearhead the design, construction, and deployment of innovative cloud-based data pipelines that drive transformative outcomes for Tier 1 financial services clients. Your contributions will significantly enhance data ingestion, transformation, and delivery at scale across the financial services landscape.Your ResponsibilitiesDesign and implement end-to-end data pipelines using AWS-native tools and cutting-edge data architectures.Collaborate closely with clients to gather requirements, craft tailored solutions, and deploy production-ready systems.Utilize AWS Well-Architected Principles to ensure your solutions are scalable, secure, and resilient.Lead the development of robust, thoroughly tested, and fault-tolerant data engineering solutions.Mentor junior engineers, fostering a culture of knowledge sharing and continuous learning within the team.What We Seek

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

Join our dynamic team at UBDS Group as an AWS Data Platform Engineer, where you’ll leverage your expertise to design, implement, and enhance AWS cloud infrastructure and CI/CD pipelines. This pivotal role emphasizes AWS-native data services, infrastructure automation, and orchestration to facilitate large-scale data operations.Key Responsibilities: Provision, manage, and optimize AWS data services: S3, Redshift, OpenSearch, Athena, Lambda, Glue, and Batch. Implement Infrastructure as Code (IaC) using Terraform. Manage orchestration workflows through Apache Airflow. Support and maintain CI/CD pipelines and version control with GitLab. Monitor core services including security file scanning for S3, data infrastructure access, and usage patterns. Oversee infrastructure supporting Data Engineering workflows, focusing on disaster recovery and performance enhancements. Collaborate with Data Engineering, SRE, and Security teams to ensure secure and efficient data operations. Diagnose and resolve incidents related to AWS data infrastructure. Participate in documentation and process improvements. Manage access and Role-Based Access Control (RBAC). Requirements: Demonstrated hands-on experience with AWS native data services such as S3, Redshift, OpenSearch, Athena, Lambda, Glue, Batch, Step Function, SQS, CloudWatch, CloudTrail, and EMR. Proficient in using Terraform for Infrastructure as Code. Experience with Airflow for DAG orchestration and monitoring. Familiarity with YAML for CI/CD pipelines (e.g., GitLab CI/CD, GitHub Actions). Proficient in Python, SQL, and Bash for automation, querying, and troubleshooting. Strong understanding of AWS Security best practices, IAM policies, and RBAC. Knowledge of AWS Networking and VPC. Experience with containerization technologies such as Docker. Experience with Disaster Recovery, backups, and snapshots. Desirable Skills: Familiarity with AWS Neptune and EKS. Experience with Jira Service Desk. Experience in supporting Data Engineers. Consulting experience is a plus. Ability to produce README and Confluence documentation. Soft Skills: Exceptional problem-solving and troubleshooting abilities. Able to thrive in an Agile environment. Skilled in stakeholder management. Excellent communication and collaboration skills. Benefits:At UBDS Group, we pride ourselves on being a forward-thinking organization that nurtures talent and encourages growth. Join us to be part of innovative projects that shape the future of data.

About The Dot CollectiveAt The Dot Collective, we are a forward-thinking consultancy operating across the UK and EU, dedicated to engineering excellence and empowering individuals to create significant impact.Our team utilizes the latest technology stacks and embraces agile scrum methodologies for all our projects.About YouAre you driven by a passion for data and its transformative potential? Do you thrive on making a substantial difference in a short time frame? If so, we may be the perfect fit for you.

CoreWeave is The Essential Cloud for AI™. Designed for visionaries by visionaries, CoreWeave offers an innovative platform of technology, tools, and expert teams, empowering creators to develop and scale AI solutions with assurance. Our infrastructure is trusted by top AI labs, startups, and multinational enterprises, merging outstanding performance with profound technical knowledge to facilitate advancements and convert computational power into actionable capability. Established in 2017, CoreWeave became publicly traded (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. We proudly hold the title of a Living Wage accredited Employer. Your Responsibilities:The Data Science team is dedicated to building a state-of-the-art reliability platform. This system encompasses various elements of data processing and analysis, including data intake, deriving significant metrics, detecting anomalies, forecasting potential challenges, identifying sluggish processes in distributed environments, and employing automated analysis to ascertain root causes. We work collaboratively with internal teams such as Fleet, Infrastructure, and AI Platform to bolster system stability, optimize resource utilization, minimize resolution times, and sustain service availability and financial performance.Role Overview:As a Senior Data & MLOps Engineer, you will architect and scale the infrastructure that underpins the GPU Intelligence Platform. Your role will entail developing pipelines for data handling, feature engineering, model training, and delivering insights and predictions regarding system health and optimization. You will lead the transition of the system from initial prototypes to a production-ready environment operational across the fleet, with a focus on scalability while differentiating between real-time services and periodic processing, as well as managing resources dynamically based on system load and data frequency. You will design and deploy scalable distributed services utilizing orchestration technologies.Key Responsibilities:Create and implement scalable data ingestion pipelines.Develop feature processing and baseline computation systems.Productionize models for predictive analysis and anomaly detection.Establish and manage low-latency services and robust offline workflows.Architect horizontally scalable services with a distinct separation between components, leveraging orchestration for distribution.

Join Wise as a Senior Cloud Economics Engineer I, where you will play a pivotal role in optimizing cloud costs and enhancing the economic value of our cloud resources. You will leverage your analytical skills to track and manage cloud expenditures, while collaborating cross-functionally to drive efficiency and savings.

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.

Join Us in Shaping the Future of Blockchain IntelligenceAt Elliptic, we are pioneering the intelligence framework for the future of finance. Our dedicated teams are committed to transforming intricate blockchain and off-chain data into actionable insights, equipping financial institutions, regulators, and businesses with the confidence to innovate. Our mission is to make digital-asset intelligence seamlessly accessible, as we design and scale the data streams and services that drive Elliptic’s analytics and decision-making products.As a Data Engineer, you will architect and optimize systems that process vast blockchain and off-chain datasets, facilitating organizations across the globe in making informed, data-driven decisions.Your role will involve engaging with platform-focused teams or those directly handling product data, as you tackle challenges related to batch and streaming processing while developing high-quality, scalable solutions in a rapidly changing ecosystem.

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.

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.