Top AWS Jobs in London

Lead and grow an engineering team building scalable, reliable backend systems for embedded finance. Own technical direction, architecture, code quality, reliability, observability, security, and cross-functional delivery for enterprise customers.

Design and build multi-tenant, high-scale payments infrastructure and cross-domain product features. Architect integrations for enterprise customers, ensure production excellence, performance and scalability, and lead multi-team initiatives while collaborating with Product, Design, Compliance, and Sales.

The Senior Data Scientist will unify technical vision, develop and deploy ML models, and enhance AI strategy across teams. Responsibilities include collaboration, ownership of projects, and maximizing value through AI and data science techniques.

Design, operate, and improve Perk's platform infrastructure and deployment pipelines. Ensure infrastructure security, maintain cloud tooling, automate operations, support product squads, and recommend improvements to increase reliability and developer velocity.

As a Senior DevOps Engineer, manage platform infrastructure, deployment pipelines, ensure security, and support product squads while recommending improvements.

The Staff Software Engineer will lead cross-functional teams to deliver impactful features for the Flights platform, enhancing customer experiences while managing complex technical initiatives.

As a Software Engineer, you will develop backend services for AI applications, optimize cloud infrastructure, and manage production-level deployments.

The Principal Enterprise Architect will lead solution architecture and cloud strategy, engaging with C-level executives, driving innovation, and collaborating across teams to support sales and customer expansion.

Design, build, and operate reliable, scalable AI/ML platform infrastructure. Develop observability, resilience, security, and automation tooling, own NFRs, participate in on-call rotations, troubleshoot production issues, and collaborate cross-functionally to support large-scale AI deployments.

Support clients to design and implement security and compliance controls across cloud environments. Configure monitoring and MDM, run audits, risk assessments, tabletop exercises, map frameworks (SOC 2, ISO 27001, GDPR, DORA), manage evidence and auditor engagements, triage vulnerabilities, and produce security documentation and reports.

Build and maintain infrastructure, tools and services to support AI research and engineering. Deploy and operate services with Kubernetes and Docker, manage cloud infrastructure (Terraform/AWS), support CI/CD, and enable ML application deployment, orchestration, and accelerator hardware management.

Lead enterprise and hybrid cloud architecture strategy and governance. Define reference architectures, hybrid cloud roadmaps, and guardrails. Guide Nutanix private cloud integration, evaluate Azure/AWS/GCP services, enable self-service platforms, mentor architects and engineers, and support executive decision-making to deliver secure, resilient, and scalable platform solutions.

As a Senior DevSecOps Engineer, you will integrate security into CI/CD processes, design security tooling, implement policy-as-code, and champion secure engineering practices.

Lead and contribute to building scalable, production-grade data systems for private markets. Architect end-to-end data workflows supporting analytics and AI/ML, ensure observability, testing, and operational maturity, influence technical strategy, engage senior stakeholders, and manage and mentor software engineers while partnering with product, data science, and business teams.

Develop and maintain scalable cloud ecosystems using Golang and Python, enhancing backend microservices and collaborating within a fast-paced team.

The Enterprise Account Executive will develop and execute sales strategies, manage a sales pipeline, build relationships, and leverage team expertise to drive revenue growth.

Design and build evaluation, observability, and reliability infrastructure for AI/LLM/agent workflows. Define SLOs/SLIs, monitoring, drift detection, testing pipelines, and guardrails. Partner across platform, product, security, and data science teams to enable safe, scalable AI adoption and participate in on-call rotations.

Full-stack developer building and deploying features for a SaaS private markets platform. Responsibilities include end-to-end development, cloud production monitoring and incident resolution, CI/CD and automated testing, and collaborating with cross-functional teams within an Agile environment.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

Pre-sales technical lead partnering with account executives to drive pipeline, demos, POCs and solution architecture for Rubrik's data resilience, observability and remediation products across UK Public Sector customers.

Lead design and implement IAM-focused public cloud platform services. Develop and maintain production code, drive architecture and reliability, automate remediation, lead reviews, mentor engineers, and collaborate across platform and trust teams to deliver secure, scalable cloud services.

Lead cross-domain detection strategy and execution across endpoint, cloud, identity, NG-SIEM and SaaS. Design high-fidelity correlation detections, prioritize threat-informed investments, coordinate multi-team coverage, apply AI/LLM to detection workflows, coach detection engineers, and influence product/platform telemetry to improve detection quality.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

The Solutions Sales Specialist drives hybrid cloud sales, engages clients, prepares proposals, closes deals, and achieves sales targets by leveraging technical expertise and proactive relationship building.

Serve as Datadog expert for partner channel: onboard, train, and enable partner technical teams; support migrations, modernization, demos, proofs of value; advocate partner technical needs internally; collaborate with product, engineering, and partners to drive adoption and prioritize features.