Top AWS Jobs in London

The Senior Cloud Architect (AWS) designs enterprise cloud solutions, provides technical governance, manages security risks, and leads cloud strategy and transformation for clients.

The Engineering Manager will lead the Forward Deployed Engineers, manage deployments of North platform, optimize performance, and ensure customer success while collaborating with Product and Sales teams.

As a Software Engineer Consultant, you will design, develop, and maintain secure software systems for public safety, working closely with clients and multidisciplinary teams.

As a Machine Learning Scientist, you will research and deliver machine learning solutions, conduct experiments, and collaborate with stakeholders to improve Depop's app functionality for millions of users.

The Senior Software Engineer at Sotheby's will own systems, solve business problems pragmatically, communicate clearly across teams, and ensure code maintainability while working with distributed systems and microservices.

You will prototype hardware/software integration, build scalable backend services, create APIs, collaborate on web interfaces, and maintain deployment infrastructure.

The Full-Stack Engineer will develop core components of a trading system, support production systems, and contribute to trading logic design.

The Senior Manager, Software Engineering will lead technical initiatives, define architectural direction, mentor engineers, and ensure the delivery of high-performance backend systems while maintaining hands-on involvement in design and coding.

Design, build, and maintain cloud-native platform infrastructure and automation. Automate infrastructure with Terraform, build GitLab CI pipelines, deploy Kubernetes workloads on EKS with Istio, and implement monitoring/alerting to ensure high availability and reliability. Collaborate with cross-functional teams and continuously improve systems through automation, tuning, and knowledge sharing.

Customer-facing FinOps Consultant who analyses cloud spend, implements rate and usage optimisations across Azure/AWS/GCP, creates FinOps roadmaps and training, collaborates with pre-sales and services, and delivers cost-saving recommendations and enablement.

Lead pre-sales technical engagements across Qatar and South Africa, advising C-level stakeholders on Data & AI strategy, designing complex solution architectures, building demos and reference assets, running workshops, and driving regional account growth and adoption of the Databricks platform.

The Platform Engineer will build and manage scalable infrastructure for ML systems, focusing on enterprise applications in drug discovery, ensuring reliability and customer integration.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

This position involves designing and managing cloud infrastructure on AWS, scripting with Python, and configuring NGINX for traffic management, ensuring efficient deployment and operations.

The AWS DevOps Engineer will automate and manage cloud infrastructure on AWS, focusing on deployment, scaling, and monitoring of applications. Responsibilities include managing Kubernetes clusters, CI/CD pipelines, and API Gateways, ensuring security best practices.

This role involves providing pre-sales technical expertise, leading the Sales Engineering team, and collaborating with internal areas to meet customer needs in a hyper-growth environment.

Run offensive security engagements for clients and Mistral: scope, execute tooling, triage findings, advise on remediation, pentest internal systems, hunt vulnerabilities in the wild, and guide development of AI-powered offensive tooling and benchmarks.

Design and implement scalable graph-based search services and APIs. Build backend systems using Java and Spring Boot, integrate AWS services and databases, ensure observability with New Relic and Coralogix, and champion clean code and engineering best practices while collaborating across product and engineering teams.

The role involves leading the identification, design, and delivery of AI solutions, managing transformation programs, and ensuring measurable outcomes and team capabilities.

Pre-sales Solutions Architect responsible for driving adoption of the Lakebase product line by partnering with Account Executives, designing and delivering technical solutions, workshops, demos, and customer collateral. Acts as a trusted advisor and tier-3 escalation for complex technical challenges, influences product roadmap with field insights, and collaborates with GTM, R&D, and GSIs to achieve strategic territory targets.

Join the Platform Core team to design, operate, and automate Depop's AWS-based infrastructure. Build and maintain Terraform/IaC, CI/CD pipelines, Cloudflare edge configurations, and platform tooling using Python/Golang. Mentor engineers, participate on-call, improve security posture, and drive platform reliability and developer self-service.

Lead a global team to define and deliver an enterprise network automation product roadmap. Build a scalable, secure IaC/GitOps platform to automate WAN, LAN, data center, firewalls, load balancers and DDI. Drive DevOps, CI/CD, security-by-code, and cross-functional alignment to reduce manual toil and accelerate service delivery in a low-latency financial markets environment.

Design, develop, and maintain cloud-native full-stack applications on AWS. Build Python back-end services and REST APIs, create React/TypeScript front ends, use serverless services (Lambda, DynamoDB, SQS), support CI/CD pipelines, participate in Agile ceremonies, perform code reviews, and troubleshoot across the stack. Work closely with DevOps, QA, and platform teams to deliver secure, scalable public-sector solutions.

Design and implement scalable architectures for new ventures, execute prototypes, lead technology choices, ensure security, and guide technical strategy in a zero carbon future.

Design, build, and maintain scalable data pipelines and ingestion patterns across GCP and AWS with BigQuery. Own Dagster orchestration, enforce data quality and lineage, integrate acquired firms into a canonical data model, and apply LLMs/AI tooling to automate entity resolution and schema mapping. Partner with Analytics, Product, and AI teams to support self-serve analytics, model training pipelines, and cost/performance optimization.