Top AWS Jobs in London

Design, build, and operate foundational, multi-cloud platform systems. Own platform strategy, make build vs. buy decisions, write design docs and code, ensure reliability at scale, document decisions and run architectural forums, and improve operational maturity for enterprise-grade SaaS platform services.

Maintain and improve AWS infrastructure supporting Charlotte Tilbury’s e-commerce platform. Build self-service infrastructure provisioning, shared Terraform modules, CI/CD tooling, and developer experience improvements. Ensure cloud systems are secure, scalable, reliable, performant, and cost-efficient. Participate in observability, SRE practices, incident response, and production support while collaborating with cross-functional engineering squads.

Design end-to-end SaaS and cloud solutions, lead customer discovery workshops, translate business needs into scalable architectures, and advise on integrations, APIs, data flows, and modernization. Create infrastructure diagrams and technical documentation, support bids and presentations, collaborate with sales, product, engineering, and delivery teams, and mentor colleagues while serving as a trusted technical advisor.

Develop and deploy AI systems using generative AI frameworks, LLMs, RAG pipelines, knowledge graphs, vector stores, and agentic architectures. Integrate models with APIs, data sources, and production systems while applying cloud-native, DevOps, prompt engineering, evaluation, observability, and LLMOps practices. Collaborate with clients and cross-functional teams in an agile consulting environment, prototype emerging technologies, and share knowledge across the AI community.

Designs, develops, tests, reviews, and maintains enterprise, cloud, hybrid, and cybersecurity training content, including Machines, Pro Labs, and Cloud Labs. Builds scalable environments using Active Directory, cloud services, networking, enterprise applications, and security controls. Researches emerging attack techniques and technologies, automates infrastructure deployment and workflows, collaborates with infrastructure and content teams, and supports documentation, validation, and quality assurance.

Own the availability, performance, reliability, automation, monitoring, and incident response of production SaaS applications across Azure multi-cloud and multi-region environments. Troubleshoot infrastructure and application issues, improve disaster recovery and failover, conduct post-incident reviews, build automation, and implement observability and performance improvements. Participate in weekend on-call rotations and communicate incident updates to customer-facing stakeholders.

Design, build and maintain backend services for real-time and analytical data processing. Own features end-to-end, optimise for low latency and high throughput, ensure observability and incident response, contribute to design reviews, and collaborate cross-functionally to maintain service health and scalability.

Lead private-cloud and on-premises deployments of an enterprise AI platform. Partner with customer IT teams on infrastructure, security, and data requirements; design compliant deployment strategies; troubleshoot technical issues; and deliver reliable rollouts. The role requires production Kubernetes and Helm expertise, cloud infrastructure knowledge, DevOps and CI/CD experience, customer-facing skills, French fluency, and travel of up to 20–40%.

Join a small founding engineering team to design, build, and maintain scalable backend services and APIs for an FCA-regulated trading platform. Take end-to-end ownership of features, contribute to system design and architecture, maintain high code quality and testing standards, monitor and improve reliability, and participate in on-call production support. Work across the stack to ship secure, performant software and help shape the engineering culture as the company scales.

The GenAI Engineer will design and develop AI agents, enhance existing ML systems, manage cloud infrastructure, collaborate on features, and present to stakeholders.

Design, build and deploy end-to-end ML pipelines for UK property transaction data. Own model lifecycle (evaluation, deployment, monitoring, retraining), establish MLOps standards, collaborate with product and engineering, ensure data quality for features, and drive ML-driven product opportunities.

Design, build, and optimise cloud-based data pipelines, ETL/ELT processes and enterprise data platforms for an insurance client. Integrate multiple source systems, ensure data quality and performance, support data modelling and transformation, and collaborate with stakeholders using Agile practices.

Lead technical pre-sales for enterprise accounts: run discovery, demos, PoCs, onboarding, and documentation; coordinate with product/engineering; generate leads and evangelize Kong API and connectivity solutions.

Build and execute hyperscaler marketplace and cloud-native consultancy partner motions: design partner programs, activate co-sell, drive partner-sourced ARR, work live deals, and feed ecosystem intelligence into product and GTM.

The Software Engineer Consultant will design and deliver secure software for UK Defence, collaborating with stakeholders and applying secure development practices.

Lead design and evolution of core analytical data models, define analytics engineering standards, build and optimize ETL/ELT pipelines, own the BI/semantic layer (Looker/LookML), drive data quality and governance, partner with cross-functional teams, and mentor analytics engineering across the company to enable reliable, scalable decision-making and experimentation.

Serve as Workato's regional technical authority and Field CTO, advising C-level executives on enterprise integration, AI orchestration, and agentic automation. Build executive relationships, influence product and deal outcomes, create thought leadership, accelerate strategic deals, and enable GTM teams. Shape MCP/AI strategies, design governance and scalable architectures, and translate emerging AI capabilities into enterprise use cases.

As a Principal Applied Data Scientist, lead the development of scalable AI solutions, focusing on NLP and LLMs, while collaborating with teams and ensuring production standards.

Lead and manage infrastructure operations, focusing on Active Directory, Azure, and security processes, while ensuring availability and compliance.

Lead strategy, vision, and delivery of a cloud-native SaaS data processing solution for life sciences and healthcare. Build and lead a data management team, drive product and go-to-market strategy, collaborate with engineering and partners, and deliver complex data pipelines and analytics capabilities across heterogeneous sources.

Lead go-to-market and delivery for Google Cloud solutions in Financial Services. Drive business development, shape service propositions, manage senior client relationships, and lead multidisciplinary teams to design and implement cloud, data, and AI solutions.

As a Staff Backend Engineer, you'll lead the technical vision for Payments and Fulfilment systems, mentor engineers, and ensure scalability and security.

The Staff Backend Engineer will lead the technical vision for Depop's data platform, focusing on data ingestion, scalability, observability, and architecting data solutions while mentoring team members.

Work on infrastructure reliability and automation: manage incidents, assist dev teams, build pipelines, migrate services, maintain resilience, and create dynamic environments.

Own technical relationships with enterprise prospects during pre-sales, leading platform demos, architecture discussions, deployments, troubleshooting, and proofs-of-concept. Demonstrate Coder across developer, administrator, and AI-agent workflows; translate technical outcomes into business value; and support revenue opportunities with Account Executives. Feed prospect insights to Product and Engineering, track issues in Linear, contribute documentation, and develop expertise in cloud development environments and agentic AI.