AWS Data Platform Engineer

Role overview As a Senior Infrastructure Engineer (AWS) at umed, the focus is on building and maintaining the company’s cloud infrastructure. This position is fully remote and supports the London-based team. The main responsibilities involve designing, implementing, and managing scalable environments within AWS. What you will do Design and implement AWS infrastructure to meet evolving business requirements Manage and fine-tune cloud services to ensure high reliability and strong performance Collaborate with teams across umed to keep services available and responsive Incorporate security and compliance best practices into all infrastructure work Location This is a remote position, supporting the team in London, England, United Kingdom.

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.

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.

Role overview Version 1 is hiring a Senior AWS Engineer to design, build, and manage scalable cloud systems for a varied client base. This role focuses on delivering practical AWS solutions that support clients’ business goals and digital transformation. Locations Positions are available in London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, and Belfast.

We are seeking an experienced Senior AWS Engineer to join our dynamic team at Version 1. In this pivotal role, you will leverage your expertise in Amazon Web Services to design, build, and maintain innovative cloud solutions that meet the needs of our clients. You will collaborate closely with cross-functional teams to ensure seamless integration of AWS services, enhancing operational efficiency and driving scalability.As a Senior AWS Engineer, you will also mentor junior engineers, contribute to architectural decisions, and stay updated with the latest industry trends. Your contributions will directly impact the success of our projects and the satisfaction of our clients.

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

With Intelligence, now a part of S&P Global, is at the forefront of revolutionizing data offerings for participants in alternatives and private markets. As a member of a global organization boasting over 35,000 employees, we possess the unique ability to understand intricate nuances while maintaining a wide-ranging perspective. We empower our clients to assess new investment opportunities within the capital and commodities markets, navigate the energy sector's expansion, harness the acceleration of artificial intelligence, and adapt to the evolving landscape of public and private markets. Our mission is to advance essential intelligence.We are embarking on an exciting phase of growth, with significant funding aimed at transforming us into a pioneering, data-centric platform that places information, automation, and insights at its core.To meet the escalating demands of a dynamic, data-driven organization, we are expanding our data capabilities. This role is an outstanding opportunity for an enthusiastic individual ready to make a tangible impact while engaging with cutting-edge tools and contributing to our data strategy across products and teams.Your ResponsibilitiesDesign, develop, and maintain scalable data architectures and ETL pipelines.Build and manage data models and data warehouse solutions utilizing Airflow, dbt, and Redshift.Write clean, efficient Python and SQL code for data processing and transformation.Integrate data from internal and third-party APIs and services.Optimize data pipelines for performance, scalability, and reliability.Collaborate with data scientists, analysts, and engineering teams to fulfill business requirements.Implement and uphold data security and compliance standards.Utilize version control systems (e.g., Git) to manage and maintain project codebases.Contribute to the ongoing enhancement of data processes and tooling across the organization.

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 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 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.

Role Overview Legal & General is hiring a Senior Engineer with expertise in MongoDB and AWS Serverless. This position is based in London. The role focuses on building and improving solutions that support core business needs. What You Will Do Develop and maintain systems using MongoDB and AWS Serverless technologies Work closely with teams from different disciplines to improve data operations Uphold high standards for quality and performance in all deliverables

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 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.

LemFi (Series B) is on a mission to revolutionize financial services for the Global South.Relocating to a new country should not mean starting from square one. Our dedicated team of over 400 professionals across 20+ countries is crafting a financial ecosystem designed to empower immigrants to maintain connections to their home countries, establish stability, and build wealth, irrespective of their origin or current residence.What started as a platform for swift and affordable remittances is now transforming into a comprehensive solution for multi-currency accounts, seamless payments, credit options, and long-term financial prosperity.With millions of users worldwide, we facilitate over $1 billion in transactions monthly across 30+ countries, demonstrating that financial opportunities should transcend borders.Your RoleAs a Senior Platform Engineer at LemFi, you will play a crucial role in designing, building, and enhancing the cloud infrastructure that enables global money transfers at scale.Your objective is to develop a secure, scalable, and cost-efficient AWS cloud platform that empowers engineers to deploy solutions rapidly while adhering to the operational and regulatory standards expected of a leading fintech organization.Beyond mere infrastructure maintenance, you will create a self-service internal cloud platform that boosts reliability, fortifies security, and ensures our systems are resilient as we manage billions in global transactions.How You'll Make an ImpactDesign and scale robust AWS infrastructure with an emphasis on reliability, security, and cost-efficiency.Develop and uphold Infrastructure as Code (Terraform / CloudFormation) ensuring that modifications are auditable and reproducible.Enhance our observability features (monitoring, logging, alerting, tracing) and fortify SLO-driven reliability.Advance our CI/CD pipelines and contribute to the development of our Internal Developer Platform.Assist in incident response, disaster recovery, and compliance with standards such as GDPR, PCI DSS, SOC2, DORA, ISO27001.Who You AreOwnership-driven — you take initiatives from design through to production.Proactive and innovative — always looking for ways to enhance processes and systems.

About H Company H Company pursues advances in superintelligence with a focus on agentic AI. The team works to automate complex, multi-step tasks that typically require human involvement, aiming to expand what people can achieve. H Company values curiosity, responsibility, and a commitment to safety in AI. The culture emphasizes openness, ongoing learning, and collaboration, with each person’s input recognized and appreciated. Infrastructure Team Overview The Infrastructure team provides researchers and engineers with the resources they need to do their best work. This group maintains the core infrastructure behind H’s public services, building systems that are reliable, scalable, and ready for growth. Team members shape everything from foundational models to agent systems and public-facing services.

We are seeking a talented and motivated Mid-Level AWS Data Engineer to join our dynamic team at Capco in London. As a key player in our data engineering initiatives, you will work on cutting-edge projects that leverage AWS technologies to transform data into actionable insights. You will collaborate with cross-functional teams to design and implement robust data pipelines, ensuring data integrity and accessibility.

Join PhysicsX as a Senior Machine Learning Infrastructure Engineer and play a pivotal role in shaping our machine learning capabilities. In this position, you will architect, develop, and scale our infrastructure to support advanced machine learning models and applications. Collaborate with cross-functional teams to ensure seamless integration and high performance of our ML systems.

Role OverviewJoin our dynamic Infrastructure Product Group team, comprising skilled DevOps Leads, engineers, team managers, and SecOps professionals. In this pivotal role, you will support and enhance our cloud infrastructure (AWS) while spearheading automation and optimization initiatives.Your responsibilities include implementing industry best practices for cloud network management, including VPC, subnets, ELB, NACL, NATs, and EIP. Additionally, you will oversee on-premise termination points and contribute to fostering an agile culture that empowers individuals, teams, and managers to maximize their effectiveness.

Location: London, UK - Hybrid (3 days in office)About the TeamThe Foundations team is responsible for developing the essential systems and tools that empower engineers at DoorDash and Deliveroo to create, deploy, and manage software efficiently at scale. We regard our infrastructure, CI/CD processes, and developer tools as products, crafted with the same level of precision and care as our customer-facing solutions. Our goal is to enhance engineering speed, reliability, and security as we revolutionize the global dining and shopping experience.About the RoleIn this role, you will work at the dynamic intersection of software engineering and cloud infrastructure. You will produce high-quality code to automate processes and develop internal tools while designing and managing scalable systems on AWS.This hands-on position focuses on optimizing the software development lifecycle, deployment, and operational practices throughout the organization — balancing coding, infrastructure design, and operational excellence.Your ResponsibilitiesDeveloping and maintaining software (primarily in Go) to automate infrastructure, streamline developer workflows, and enhance platform featuresDesigning, deploying, and operating secure, scalable systems within AWSCreating and maintaining CI/CD pipelines utilizing GitHub Actions, CircleCI, Buildkite, and other related toolsImplementing infrastructure as code and enhancing automation across various environmentsTroubleshooting and resolving sophisticated build, deployment, and production issues across application and infrastructure layersEnhancing observability, reliability, and performance of internal platforms and production systemsCollaborating with engineering teams to establish best practices for deployment, release management, and cloud architectureParticipating in technical design discussions and driving continuous improvements in DevOps methodologiesRequirementsExtensive experience in building and operating CI/CD systems using tools like GitHub Actions, CircleCI, or BuildkiteProficiency in writing and maintaining production-quality software in Go or equivalent languagesStrong background in cloud services, particularly AWSExperience with infrastructure as code tools such as Terraform or CloudFormationDemonstrated ability to troubleshoot complex issues across applications and infrastructureExcellent communication skills and a collaborative mindset