Top AWS Jobs in London

Develop low-latency, high-throughput EMS and Smart Order Router systems, collaborate on routing algorithms, and optimize trading performance.

The Account Executive will drive sales by guiding engineering leaders toward cloud solutions, owning the sales cycle, and collaborating closely with leadership.

The Senior Engineering Manager will lead multiple engineering teams, drive technical excellence, and shape product strategy while managing growth in a fast-paced environment.

The Senior Software Test Engineer will lead test engineering initiatives, design automated test frameworks, and advocate for quality within cross-functional teams.

Lead the Research team in developing scalable machine learning solutions, mentoring junior engineers, optimizing model training, and collaborating on real-world engineering problems.

Lead the development and integration of AI solutions, focusing on advanced modeling, generative AI architecture, and building user interfaces for decision-making tools.

Lead the AIOps product roadmap and deliver enterprise-scale observability and automation capabilities (noise reduction, correlation, anomaly detection, RCA, predictive alerting, self-healing). Translate operational needs into requirements, drive cross-team adoption, define success metrics (MTTD, MTTR, alert quality, automation coverage), and present outcomes to senior stakeholders.

Design, develop, and maintain data pipelines using Kafka; build infrastructure with Terraform; troubleshoot data engineering issues and collaborate with teams.

As an Engineering Lead, you'll develop features, shape technical architecture, support team growth, and ensure code quality and performance.

The Sales Engineer at Orkes will engage with customers, provide technical solutions, support RFI/RFP processes, and deliver impactful presentations while collaborating with various teams.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on Databricks. Leads end-to-end projects including data pipelines, distributed Spark workloads, MLOps and model integration, provides architecture guidance, embeds with customer teams, delivers reusable assets, and drives measurable outcomes.

The Pre-Sales Engineer will align with customers to understand their needs, provide technical solutions, and support the sales cycle, enhancing Upwind's cloud security offerings.

The Senior MEAN Stack Developer will design, develop, and deploy scalable web applications, focusing on building robust REST APIs and microservices, while ensuring code quality and continuous improvement.

Maintain and automate cloud infrastructure and CI/CD for a globally available WebRTC video conferencing service. Build IaC with Ansible and Terraform, manage AWS resources, deploy to Linux, Windows and Kubernetes, troubleshoot test environments, lead incident response and root cause analysis, and automate repetitive tasks to support development and production delivery.

Lead SRE practices across engineering teams to design resilient services, define SLIs/SLOs, improve observability, automate toil, guide architecture reviews, drive performance and capacity planning, build platform and IaC tooling, and lead incident response and post-incident improvements.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

Design, build, and operate multi-region AWS platforms with resilient networking, security, and automation. Implement IaC, cross-region routing, HA/DR patterns, observability, and cost/security best practices while collaborating with DevOps, SRE, Security, and application teams.

Lead multi-skilled agile teams to design, build and productionise modern data solutions. Own technical architecture, collaborate with infrastructure and customer architects, define functional and non-functional designs, mentor staff, estimate delivery timelines, contribute to data community and support pre-sales technical solutioning.

Design, build, and maintain cloud-based data pipelines and infrastructure on AWS, integrating on-prem and cloud flows. Implement IaC, CI/CD, containerization, observability, and automation to ensure high-throughput, reliable data ingestion and processing for autonomous systems.

Lead end-to-end solution design for public sector clients, own pre-sales responses, run multidisciplinary solution workshops, articulate designs to stakeholders, and contribute to internal product and capability development while keeping solutions aligned with strategy and emerging technologies.

Lead design and delivery of LLM platform infrastructure across AWS and on-prem GPU environments. Own roadmap, optimize training/inference, establish model/data lifecycle, drive knowledge graph strategy, coordinate cross-functional teams, select vendors, and define governance and platform engineering standards.

Lead and grow a DevOps/Platform team while hands-on engineering Kubernetes-based, multi-cluster, multi-region platforms. Drive GitOps, IaC, progressive delivery, zero-trust security, observability, SLO/resilience practices, and compliance automation. Collaborate with Security, Data, and AI teams to deliver AI gateway infrastructure, disaster recovery, and platform reliability across cloud environments.

Build and maintain production-grade data pipelines, design data models and infrastructure, enable API access, govern data assets, and collaborate with actuaries, data scientists, and engineers to support algorithmic underwriting and MLOps.

Lead hands-on design and delivery of scalable, secure cloud data and analytics platforms with ML/Agentic AI capabilities. Translate enterprise strategy into architecture, set engineering standards, guide multiple teams, and drive CI/CD, IaC, testing, and security-driven practices to deliver data, BI, streaming, and integration solutions.