Top AWS Jobs in London

Lead growth-focused engineering work: implement and maintain ad tracking SDKs/MMPs, build tracking/tag manager setups, design and ship full-stack growth features, integrate CRM/lifecycle tooling, build internal automation tools (Python/Node), and collaborate with Growth, Marketing and Data to run experiments and A/B tests.

Build and maintain Python services that automate finance and operations workflows. Deliver features end-to-end, write tests, participate in code review, support production systems, collaborate with Finance/Operations stakeholders, and grow ownership of components toward senior responsibility.

Own end-to-end delivery of complex enterprise implementations: project planning, engineering coordination, data migration, integrations, cutover, training, hypercare, and stakeholder management to achieve stable production launches.

The Sales Engineer will lead solution-focused sales presentations, guide customers on platform use, develop technical expertise, and collaborate with sales and engineering on customer needs.

Design and build high-performance trading systems, minimizing latency and ensuring throughput for market data ingestion, order routing, and execution.

Seeking a Technology Lead for Treasury Management to oversee technology strategy, architecture, and delivery, modernizing treasury capabilities through data-driven solutions while collaborating with various stakeholders for optimal cash and collateral management.

Responsible for platform development and management, collaborating with stakeholders for requirements, and maintaining code quality by mentoring juniors and performing code reviews.

The role involves developing scalable safety infrastructure, APIs, and monitoring systems while collaborating with ML engineers to integrate AI models into production.

Manage full sales cycle for startups: prospecting, territory planning, pipeline generation, proposal and SOW negotiation, contract closing, and building strategic AWS partnerships while collaborating with internal teams to meet revenue and margin targets.

The Solution Architect is responsible for leading engineering teams in delivering applications, applying architectural methodologies, collaborating with stakeholders, and supporting senior leaders in planning and strategy.

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

Seeking experienced Solution Architects for UK Defence accounts to define and shape architectural solutions in digital, data, and technology services, focusing on government Defence departments.

The Solutions Architect will design cloud-based solutions for insurance clients, engaging with them to understand requirements and ensuring alignment with business goals while leveraging AWS/GCP.

Design and deliver scalable, secure infrastructure and cloud architectures across on‑premise, data centre, and public cloud environments. Work hands‑on with delivery teams to translate requirements into implementable designs, support implementation and assurance reviews, contribute to technology roadmaps, and collaborate with Security Architects to meet non‑functional requirements.

Senior DevOps Consultant designing and delivering cloud-native infrastructure and CI/CD solutions. Responsibilities include building IaC, operating Kubernetes at scale, integrating security and quality checks, debugging applications, mentoring engineers, influencing solutions across project lifecycles, and supporting pre-sales and internal competency development.

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.

Lead and define the data science and AI strategy, deliver production-grade ML and generative AI solutions, operationalise models with MLOps and governance, build and mentor a high-performing team, and influence stakeholders to drive measurable business impact.

Lead teams to design and deliver high-quality low-code solutions. Provide technical ownership for architecture, estimation, product planning and user story creation. Balance technical decisions with user needs and commercial constraints, incorporate non-functional requirements, and communicate designs clearly. Coach and develop team members. Leverage Microsoft Power Platform or Dynamics 365 and public cloud (AWS/Azure) knowledge.

Design and maintain infrastructure, create CI/CD pipelines, deploy projects on AWS, automate processes, monitor performance, and participate in on-call support.

Serve as the technical bridge between BigPanda and customers to design, demo, and implement AIOps/observability integrations. Lead discovery, POCs, workshops, and technical presentations; support onboarding, troubleshooting, documentation, and cross-functional collaboration to drive platform adoption and influence product roadmap.

The Data Solution Architect will lead multiple teams to design and deliver data solutions, manage employee performance, and contribute to technical design and pre-sales processes.

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 cloud-based data management and processing systems for biomedical research. Own platform components end-to-end, drive architecture and standards, improve CI/CD, observability, security, performance, mentor engineers, and participate in on-call incident response.

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.