Top AWS Jobs in London

Lead design and delivery of high-performance, real-time data pipelines and analytics for trading. Drive AI-enabled data engineering, mentor engineers, manage global initiatives, and improve SDLC, testing, and operational reliability.

Senior front-end engineer on an agile Equities Sales & Trading team delivering secure, scalable cloud-native applications. Provides technical leadership, writes and reviews production code, drives design decisions, optimizes UI performance for high-frequency data, and advocates firmwide engineering practices and tools.

Lead execution research and transaction cost analysis to inform algorithm roadmap. Build and govern TCA frameworks, run market-microstructure research and A/B tests, develop pre- and post-trade models, translate findings into production features, and partner with Product, Trading, and Technology while mentoring junior researchers.

Design, build, and operate cloud-native lakehouse and streaming data platforms and pipelines using Python, PySpark, dbt, Airflow, and orchestration/infrastructure tooling. Ensure performance, reliability, security, and observability; model and transform data for analytics; deploy with IaC, containers, and Kubernetes; mentor engineers and drive platform standards and best practices.

Design, build, test, and maintain scalable ELT data pipelines and architectures using Python and Databricks. Ensure data security, entitlement controls, and SDLC quality (CI/CD, testing). Use SQL/NoSQL, update data models, apply enterprise-authorized AI responsibly, and support controls and auditability across the data lifecycle.

Lead development of Java/Spring Boot microservices for J.P. Morgan Personal Investing. Design and evolve cloud-native, event-driven architectures on Kubernetes using Kafka, deliver features from estimation to production, write tests, participate in code reviews, maintain monitoring/alerting, and drive adoption of enterprise-authorized AI-assisted engineering practices and SDLC automation.

Lead development and architecture of KDB-based data systems for real-time and historical market data. Design, build, test, and operate resilient, high-performance KDB applications; drive SDLC improvements, CI/CD, and automation; mentor and lead teams, capture requirements, and partner with stakeholders and support teams during AWS migration and greenfield projects.

Lead design and delivery of secure, scalable cloud platform tooling and DevEx practices to support AI/ML and data platforms. Drive CI/CD, observability, cloud security, AI-assisted engineering adoption, paved paths, telemetry, and cross-team modernization while mentoring engineers and governing AI-assisted workflows.

Leads backend architecture and streaming services for high-volume maritime tracking and trade data. Builds Python and PHP microservices, Kafka pipelines, and PostgreSQL and ClickHouse data systems. Owns production reliability, observability, CI/CD, and containerized deployments while collaborating with product, platform, and client-facing teams. Mentors engineers, drives modernization, and establishes technical standards.

Deploys, configures, and optimizes SIEM, SOAR, and other security tooling for managed security service customers. Responsibilities include customer onboarding, log ingestion, security integrations, SOC infrastructure maintenance, incident tracking, SLA management, troubleshooting, and operational improvement. The role requires collaboration with SOC analysts, engineers, customers, and service teams, with SC clearance and mandatory BPSS screening.

Develops full-stack features for live operational metrics, including backend services, APIs, and real-time frontend dashboards. Responsibilities include improving system scalability and stability, integrating business logic, troubleshooting software, documenting technical changes, and collaborating with stakeholders. Requires frontend JavaScript or TypeScript experience and backend .NET development with C# and ASP.NET. The role is primarily remote with occasional Bristol or London office visits.

Leads a 25+ person organization of data scientists, machine learning engineers, and analytics engineers across Identity and Financial Crime. Owns data quality, governance, lineage, observability, fraud and financial-crime models, production performance, monitoring, retraining, and domain data products. Partners with engineering, product, risk, compliance, legal, and central data teams; influences upstream teams, develops managers and senior ICs, handles incidents, and scales hiring and technical strategy.

Build and scale automated infrastructure provisioning across physical data centers and AWS/GCP environments. Develop continuous delivery pipelines for software, servers, and network switches. Manage vendor relationships, procurement, hardware purchasing, and remote workforce setup. Collaborate within a multidisciplinary infrastructure team with shared responsibility for systems and networks. The role requires automation, scripting, systems and network engineering, vendor management, and continuous learning. Familiarity with authentication protocols, Azure Active Directory, and highly available PostgreSQL architectures is desirable.

Provides senior technical leadership and delivery for complex .NET and cloud-native projects. Translates business requirements into technical designs, develops distributed and microservice solutions on Azure or AWS, writes integration and end-to-end tests, and maintains code quality and security standards. Collaborates with technical and non-technical stakeholders, contributes to architecture and design reviews, resolves technical challenges, and supports knowledge sharing and team development.

Drive enterprise sales across the UK by developing account strategies, building executive relationships, communicating Chainguard’s value, managing inbound and outbound pipelines, forecasting quota, tracking opportunities in CRM, and collaborating across product, support, and sales engineering. Requires enterprise sales experience and knowledge of cloud platforms, DevOps tooling, CI/CD, or software development lifecycles. Travel to clients may be required.

Principal Data & AI Consultant responsible for advising clients on enterprise data and AI strategy, architecture, and transformation. The role involves designing batch and streaming data pipelines, enabling analytics and AI/ML applications, modernizing cloud data platforms, and championing governance, security, privacy, and compliance. The consultant will shape technical roadmaps and proposals, guide executive stakeholders, build client relationships, and mentor colleagues while contributing to Waracle’s technical direction.

Design, build, and deploy production-grade generative AI and multi-agent systems for financial services. Architect scalable MLOps pipelines, optimize LLMs and multi-modal models, implement RAG and prompt-engineered agent workflows, and collaborate with clients and cross-functional teams to accelerate GenAI adoption and deliver measurable business impact.

Develop statistical and machine learning models using soccer tracking and event data to support player recruitment decisions. Build spatio-temporal models, metrics, analyses, and interpretation tools; validate models; communicate findings to professional club clients; and partner with engineering on cloud deployment and production reliability. The role also includes code review, model maintenance, and advancing analytical methods.

Lead enterprise architecture strategy and governance for a major aviation customer. Design AWS cloud solutions, guide AI and emerging technology adoption, establish architecture standards, plan system modernization and migrations, and promote secure, cyber-resilient architectures. The role requires extensive stakeholder engagement, technical leadership, and expertise in cloud architecture, microservices, data platforms, and modern technology stacks.

Owns architecture for major AWS engagements from assessment through live operation. Leads cloud migration and modernization across compute, data, networking, and security; embeds cost management into designs; mentors engineers and architects; and shapes client proposals. Requires deep AWS expertise, large-scale migration experience, infrastructure as code, containers, CI/CD, and strong security and networking judgment in regulated or highly available environments.

Designs scalable AWS cloud, data, and AI solutions for a major aviation operator. Partners with business and technical stakeholders to translate objectives into architectures, leads technical planning and implementation scoping, communicates architectural decisions, promotes emerging technologies, provides cybersecurity guidance, and ensures solution quality, compliance, performance, and alignment with business outcomes.

Manage and lead a team of Technical Account Managers, supporting customer success and growth in EMEA. Provide technical guidance and thought leadership while collaborating with various teams to enhance services.

Owns revenue for Cohesity’s AI business unit across product, infrastructure, and consulting services. The role generates pipeline, sells AI solutions to executive buyers, develops account plans, delivers business cases, manages enterprise opportunities, and coordinates co-selling with partners such as NVIDIA and hyperscalers. Responsibilities also include CRM hygiene, forecasting, competitive analysis, and building multi-phase customer engagements.

Lead EMEA partner marketing for cloud service providers and channel partners: design and run webinars, demand-gen, enablement, events, and social campaigns; coordinate cross-functional strategy and field alignment with AWS, Google Cloud, and Azure; measure and report ROI and OKRs; present results to leadership; and build Datadog’s EMEA presence at major partner conferences. Requires hybrid office attendance and some travel.

Own performance and scalability testing across a platform of microservices and event-driven systems. Design realistic load, stress, soak, and spike tests; define performance thresholds and SLOs; integrate tests into CI/CD; and diagnose regressions using observability data, logs, and distributed tracing. Build reusable test assets, influence architecture and delivery decisions, and drive stakeholders toward performance improvements. The role requires strong programming, microservices expertise, k6 experience, and proactive ownership.