Top AWS Jobs in London

The Software Engineer will design, develop, and maintain platform features for Edenred PayTech, collaborating with teams to ensure software meets quality standards and project specifications.

Develop and maintain treasury systems, optimize trade processing, collaborate with software engineers and finance teams, and improve service performance.

Customer-facing technical leader owning long-term technical success and value realization for strategic enterprise accounts. Architect and lead implementations, migrations, and scalable cloud-native deployments; build joint success plans; monitor adoption and health; partner with Sales, Product, and Engineering; and provide technical guidance, reference architectures, and feedback to drive predictable expansion and customer outcomes. Travel to customer sites as needed.

As a Senior Architect, you will work with clients to deliver innovative software solutions, coach team members, and design complex integrations.

The Software Engineer will develop AI-based capabilities, maintain software stacks, mentor others, and tackle engineering challenges across various technical fields.

The Solution Architect will design and assure architecture artifacts, collaborate with engineering teams, and support senior leaders in planning and implementation using agile methodologies.

The Senior Software Engineer leads technical projects, mentors junior engineers, and designs high-quality software solutions in a SaaS environment.

The role involves developing, fine-tuning, and optimizing large language models, building ML infrastructure, and implementing CI/CD practices for AI/ML systems.

The Senior Network Architect is responsible for designing and implementing solutions for global networks, focusing on SD-WAN and automation. They work with internal teams and vendors to deliver scalable solutions and provide high-level technical support.

As a Senior kdb+ Engineer, you'll design and implement kdb+ architectures, mentor developers, and lead projects for financial institutions, ensuring high-performance solutions.

As a Senior kdb+ Engineer, you will deliver high-performance solutions for financial institutions, lead technical projects, design robust architectures, mentor developers, and drive innovation in kdb+ and time-series data handling.

Collaborate with users to define application requirements, develop and test code, support project delivery, analyze time-series data, and mentor juniors.

The Senior Back-End Software Engineer will implement features, improve logic, write integrations with APIs, and contribute to design discussions within a startup environment.

Design and implement AWS deployment strategies, drive CI/CD practices, maintain cloud application monitoring, enhance scalability, and support operational troubleshooting.

Lead the design and implementation of distributed systems, focusing on scalability, security, and mentorship within product-focused engineering teams.

The DevOps Engineer will focus on designing and improving CI/CD platforms, lead technical solutions, mentor engineers, and work in agile teams.

Develop and document secure web applications and microservices within an Agile AWS development team. Responsibilities include low-level design, security requirement assessment, code reviews, API integration, authentication and authorization using Keycloak and JOSE standards, database integration, accessible front-end development, governance documentation, and providing technical input to stakeholders.

Support and optimize AWS cloud infrastructure, including networking, security, automation, monitoring, and on-premises connectivity. Design and manage VPCs, subnets, load balancers, NACLs, NAT, Direct Connect, Transit Gateways, IDS/IPS, and security groups. Automate infrastructure with Chef and use Git, Jenkins, and Nexus for development workflows. Maintain Red Hat Enterprise Linux environments, promote cloud networking best practices, support AWS migrations, and help teams adopt agile ways of working.

Advise customers on identity governance, authentication, authorization, and access control. Architect secure IAM solutions across AWS, GCP, and Azure; lead technical workshops, demos, and evaluations; design integrations using APIs, SDKs, Go, and Terraform; troubleshoot workflows; and communicate identity security concepts to technical and business stakeholders.

Develop, deploy, and maintain scalable AI/ML pipelines and production models, including LLMs and generative AI. Optimize model performance, latency, and cost across AWS, GCP, and Azure. Apply MLOps practices such as CI/CD, versioning, monitoring, logging, and maintenance. Collaborate with data scientists, software engineers, solution architects, and cross-functional teams to integrate AI capabilities into products and workflows.

Designs, builds, and operates highly available multi-cloud infrastructure across AWS, Azure, Kubernetes, and on-premises environments. Owns networking, infrastructure-as-code, CI/CD, observability, disaster recovery, and SRE practices for a globally distributed trading platform. Develops AI-assisted operational workflows for incident response, automation, and toil reduction. Mentors senior engineers, serves as a cross-team design authority, and contributes to the platform roadmap in a regulated, availability-critical environment.

Own a platform domain end to end, defining architecture, roadmap, reliability, security, and cost standards. Build scalable multi-tenant Kubernetes infrastructure, enable self-service deployments, advance agent-native engineering practices, and develop tooling for safe agent execution. Partner with engineering teams to translate infrastructure needs into reusable capabilities, mentor engineers, lead design decisions, and manage on-call and post-incident processes.

Own early-stage business development by executing high-volume multichannel outreach, generating and qualifying meetings, nurturing leads, and supporting pipeline growth. Lead initial prospect and partner conversations, deliver software demonstrations, generate demand through AWS and Google Cloud marketplaces, and support events, content campaigns, and other growth initiatives. The role requires energy-sector knowledge, cloud ecosystem awareness, strong communication skills, and independent commercial execution.

As a Machine Learning Engineer, you will develop software solutions using machine learning, collaborate with clients, and deliver impactful projects working within cross-functional teams.

Design, build and deploy production-grade ML systems for retail and consumer clients. Lead technical scoping, architecture and best practices, collaborate with data scientists and engineers, operationalise models, and advise customers to deliver scalable, secure ML solutions that drive business outcomes.