Top AWS Jobs in London

Design, manage, and optimise Abtrace's AWS infrastructure, including VPC/networking, serverless APIs, ETL/ELT data pipelines, CI/CD via GitHub Actions, observability with Datadog, and security/configuration using IAM, SSM, and Secrets Manager.

The Test Engineer will design and implement automated tests for data pipelines and cloud platforms, focusing on ETL testing and data validation.

Lead and grow a test and DevOps engineering team for a regulated medical device software stack. Own CI/CD, Yocto-based embedded Linux builds, signed update mechanisms, cloud data pipelines, test automation, compliance-as-code to IEC 62304/ISO 14971, and coordinate cybersecurity and release processes while contributing hands-on to architecture and code.

Sell end-to-end IT solutions to corporate clients, owning full sales cycle from lead generation to close. Build executive relationships, identify upsell/cross-sell, meet revenue targets, run workshops and proposals, collaborate with pre-sales and delivery teams, maintain forecasts and pipeline, support tenders and procurement, and ensure high customer satisfaction.

Lead front-end technical strategy across multiple teams for a complex, data-dense merchant platform. Own architecture, component systems, state management, performance, accessibility, and front-end observability. Mentor engineers, drive cross-team alignment, and partner with Product, Design, and backend engineers to deliver a cohesive merchant experience including the Primer AI Companion.

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

The Lead Machine Learning Engineer will direct AI projects, ensure sound architectural decisions, mentor engineers, and drive innovation within the team.

The Lead Forward Deployed Engineer will direct complex AI projects, guide architectural decisions, foster team growth, and ensure scalable solutions across multiple work-streams.

The Senior Sales Engineer will lead technical engagements, advise on architectural decisions, mentor staff, and represent Matterport at industry events.

As a Full-Stack Software Engineer, you'll lead the technical strategy for AI applications in the public sector, architecting frameworks, guiding development, and mentoring staff.

As a Senior Full-Stack Software Engineer, you will develop AI applications for public sector clients, design full-stack solutions, and manage cloud infrastructure while collaborating with cross-functional teams to address complex challenges.

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.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

Design and implement scalable IAM architecture and tooling for AuraDB. Integrate enterprise SSO providers, implement auth protocols (OAuth2, OIDC, SAML, LDAP, MFA), manage lifecycle (SCIM), develop access control models (RBAC/ABAC/PBAC/ReBAC/FGA), enforce least-privilege, apply zero-trust patterns, ensure SOC 2 compliance, mentor engineers, and collaborate across product, security, and infrastructure teams.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

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.

The Senior Technical Consultant will implement and integrate Blue Yonder WMS solutions, develop technical concepts, ensure system integration, and enhance platform functionality based on customer feedback.

The Forward Deployed Data Solution Engineer works embedded within teams to ensure software quality, guide technical decisions, and design integration patterns, focusing on AI-enabled capabilities and data governance.

Develop and maintain backend services using TypeScript and Node.js, focusing on scalable event-driven architecture and modern microservices practices while collaborating with teams to solve complex business problems.

Architect and build a production, self-improving learning platform: capture event pipelines, measure outcomes, implement recommendation and feedback loops, maintain knowledge graphs and vector stores, build feature stores and experimentation infra, and create evaluation frameworks. Spend majority time coding and shipping resilient systems while providing technical leadership and shielding the engineering team.

Client-facing role designing, building, and maintaining scalable Azure cloud infrastructure and data platforms. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, and mentor teams to deliver reliable cloud solutions.

The Integration Engineer will design, develop, and maintain integrations for k-ID's services with clients, focusing on seamless implementations and troubleshooting technical issues for EMEA customers.

Ensure availability, reliability and scalability of AWS-based services. Manage IaC, CI/CD for containerised and serverless apps, monitor with Prometheus/Grafana/CloudWatch, respond to incidents, drive cost optimisation and platform improvements.

Lead technical design and delivery of cloud-native software, define architecture, estimate work, and own product technical direction. Manage and coach junior staff, communicate designs to stakeholders, and incorporate non-functional requirements into solutions while working with customer architects.

Build and maintain scalable, reliable agentic AI systems for biomedical research, integrating LLMs, tool-calling, and data platforms. Drive technical decisions, optimize analytical workflows, deploy agents on the data platform, mentor teammates, and participate in on-call rotation to ensure performance, security, and continuous improvement.