Top AWS Jobs in London

Build and deliver production-ready, LLM-enabled full-stack applications: backend services, data/LLM pipelines, vector search, and front-end UIs. Embed with customers onsite to deploy, iterate, codify reusable AI assets, shape platform tooling, and ensure scalable, observable, secure enterprise deployments.

Partner with cross-functional teams to gather requirements, design domain models, build and maintain high-quality data pipelines and reports, drive automation and process improvements, ensure data accuracy and governance, resolve data issues, support testing and data investigations, and present insights via clear visualizations to stakeholders.

Leads software engineering for a secure, scalable cloud data platform supporting credit risk technology. Responsibilities include designing and delivering Python solutions, reviewing production code, building CI/CD pipelines, improving application resiliency, standardizing SDLC tooling, automating remediation, and guiding responsible AI-assisted engineering practices. The role also evaluates vendors and leads cross-functional delivery initiatives involving AWS, Databricks, Spark, Terraform, lakehouse architecture, observability, security, and governance.

Leads strategic data provisioning across asset and wealth management, including new data enablement, lineage tracing, data quality remediation, metadata enrichment, and catalog improvement. Partners with business and technology teams to support AI and analytics use cases, establish preventative controls, manage dependencies, track delivery metrics, and improve data discoverability, governance, regulatory transparency, and adoption.

Designs and maintains scalable data pipelines and real-time streaming applications using Java, Kafka, AWS, and Python. Develops batch and streaming ETL processes, optimizes low-latency data flows, integrates cloud services, and collaborates with engineers, analysts, and data scientists. The role also requires documentation, security and compliance adherence, production support, and use of authorized AI capabilities for data engineering and operational workflows.

Build high-fidelity prototypes and interactive experiences across web, mobile, and TV platforms. Develop internal tools, Figma plugins, shared frameworks, APIs, and AI-powered utilities that improve design workflows. Collaborate with designers, engineers, product managers, and researchers, integrate live or simulated data, iterate based on feedback, and mentor other design engineers. The role emphasizes front-end engineering, interaction design, rapid experimentation, emerging technologies, and streaming media experiences.

Lead partner-first enablement for resellers and GTM teams: design onboarding, playbooks, certifications, and training; integrate partner content into field programs; track adoption and partner-sourced pipeline; coordinate cross-functional stakeholders and maintain enablement assets (Seismic).

Customer-facing engineering role building and deploying AI-powered observability solutions. Design, implement, and support integrations, backend services, telemetry pipelines, and full-stack artifacts using Python, Java, and JavaScript/TypeScript. Drive production rollouts, troubleshooting, and codify repeatable templates and playbooks to improve adoption and product feedback.

Lead complex Professional Services engagements delivering advanced LogicMonitor integrations and automations. Design, code, test, and deploy custom solutions using APIs and cloud services, troubleshoot issues, drive product improvements, mentor engineers, and collaborate with Product, Customer Success, and Support.

The Cloud Native Specialist will support technical discovery, execute PoCs for cloud-native solutions, and integrate Dynatrace into CI/CD pipelines while acting as a Kubernetes expert.

The role involves leading solutions architecture for the Aladdin platform, overseeing delivery of cross-functional initiatives, ensuring alignment with architecture standards, and engaging with stakeholders to translate business requirements into technical designs for scalable solutions.

The Senior Backend Engineer at Teya will design, develop, and maintain core backend systems supporting various aspects of the business, ensuring scalability and reliability while collaborating with cross-functional teams and mentoring developers.

Lead technical deployments of Celonis containerized solutions in customer environments. Analyze architectures, design integrations (APIs, data ingestion), implement IaC and Kubernetes-based deployments, advise on authentication/user provisioning, remove technical barriers to adoption, and collaborate with product teams to promote reusable platform solutions.

Lead deployment and onboarding of Celonis containerized solutions as the technical contact: analyze customer architectures, design integrations (APIs, data pipelines), implement Kubernetes deployments and IaC, advise on authentication/user provisioning and security, remove technical blockers, promote reuse, and collaborate with product teams to maximize adoption.

Responsible for triaging alerts and responding to security incidents, improving detection and response functions, and collaborating with various teams on security initiatives.

The Senior Software Engineer will lead the architecture and development of the Zeta Marketing Platform's Addressability part, focusing on real-time data processing, mentoring developers, and collaborating across teams to build scalable solutions.

Develop and execute account-based marketing strategies for strategic enterprise accounts across the UK and EMEA. Partner with sales, customer success, account development, and marketing teams to drive awareness, pipeline, deal acceleration, and customer growth. Create targeted digital campaigns, coordinate events, support sales enablement, engage technical champions and buying committees, and measure ROI to optimize programs. The role requires strong enterprise account marketing, cross-functional collaboration, communication, project management, analytical, and marketing technology skills.

The Application Security Engineer embeds security throughout the software development lifecycle by advising on secure coding, threat modeling, OWASP Top 10 mitigation, code reviews, penetration testing, and SAST, DAST, and IAST tooling. The role partners with engineering teams, improves DevSecOps practices, researches AI and LLM threats, supports incident investigations, delivers security training, and mentors developers.

Design, build, operate, and evolve scalable, reliable, observable data lake and catalog platform services. Lead technical design, develop well-tested software, support SLOs and incident learning, collaborate with stakeholders, create implementation plans, mentor engineers, and contribute to platform architecture and open-source initiatives.

Lead technology risk and controls for the SMF24 CIO at Chase UK: analyze, consolidate and produce risk/control reports for stakeholders, boards and regulators; assess compliance against legal entity, firmwide and regulatory standards; work with technical and non-technical control owners and stakeholders to monitor and report cyber and technology control performance.

Design and implement complex, responsive Angular web applications; own end-to-end frontend features; collaborate with UX, backend, ML, and data teams; contribute to frontend architecture, component libraries, state management, testing, CI/CD and observability; optimize performance and accessibility; support production systems and mentor other engineers within an Agile environment.

Design, operate, secure, and optimize cloud infrastructure across AWS and Azure. Implement IAM, IaC, automation, monitoring, cost controls, and compliance practices. Partner with Security, Engineering, and IT Operations on migrations, incident response, and operational improvements while mentoring junior engineers.

Lead application security for the platform by embedding automated controls into the SDLC, conducting security architecture and code reviews, driving threat modeling, triaging vulnerabilities, coordinating remediations, partnering with engineering/product teams, and scaling tooling and AI-assisted workflows to raise security across cloud-native and containerized environments.

As a Senior Software Engineer, you will design and build Palantir's managed Kubernetes products, automating operations across diverse environments. You'll ensure scale, stability, and security while contributing to CNCF tools and improving infrastructure standards.

Design, build, test, and deploy scalable AI services integrated with operational systems. Develop Python services, REST APIs, ETL/data pipelines, IaC, and monitoring; collaborate with AI specialists and operations stakeholders to improve workflows, controls, and production readiness in Markets Operations.