Top AWS Jobs in London

Design, build, and operate scalable, high-performance backend services and APIs. Lead architecture, code reviews, and cross-team integrations. Integrate AI/ML responsibly, diagnose and resolve production issues, and participate in on-call rotations to maintain operational excellence.

Leads multiple engineering teams supporting J.P. Morgan Personal Investing’s investment platform. Defines technical strategy, drives product roadmap execution, oversees architecture, reliability, security, costs, vendors, incident management, and regulatory controls. Builds and mentors engineering managers and senior engineers while scaling teams and processes. The role also governs responsible agentic AI adoption across engineering workflows, including validation, auditability, security, and automation.

Design, develop, and maintain scalable backend services and REST APIs for Wise’s Payin Platform. Build payment orchestration and card pay-in systems handling high-volume financial transactions, using AWS, PostgreSQL, Kafka, and event-driven architectures. Optimize performance, implement automated tests, participate in on-call support, conduct code reviews, and ensure secure handling of financial data while collaborating across product and engineering teams.

Provide first- and second-line operational support for Morningstar’s market data application stack and infrastructure. Diagnose and resolve incidents, improve monitoring and alerting, deploy and validate software changes, maintain documentation, and support cloud migration initiatives. Collaborate with London and Mumbai teams, developers, and vendors while participating in shift rotations, including occasional evenings, weekends, and public holidays.

Leads complex technology programs and data platform initiatives, managing project plans, CI/CD delivery, risks, budgets, resources, governance, and executive reporting. Partners with engineering, product, architecture, data science, and business stakeholders to deliver scalable, secure, resilient platforms. Applies analytical reasoning, agile practices, AI-assisted program governance, and data-driven optimization within a regulated financial services environment.

Leads site reliability engineering for market risk technology services, defining reliability requirements, availability targets, observability strategies, and service-level objectives. Designs resilient systems, debugs complex platform dependencies, automates operational improvements, and promotes safe AI-assisted reliability workflows. Mentors engineers, champions SRE adoption, contributes to engineering communities, and guides production readiness, testing, monitoring, security, auditability, and operational decision-making.

Lead end-to-end delivery of complex carrier and partner integrations across EMEA. Manage project plans, milestones, dependencies, risks, technical delivery tasks, stakeholder communications, testing, and deployment. Partner with carriers, Solution Architecture, Engineering, Product, Customer Success, and leadership. Apply technical knowledge of REST APIs, AWS, SIP, and telephony while improving delivery processes, documentation, and tooling.

Designs, deploys, and operates highly available, secure, multi-region cloud platforms. Responsibilities include managing AWS and Kubernetes services, automating production operations, improving reliability and scalability, participating in 24x7 incident response, and developing tooling for deployment, testing, failure recovery, and platform security. The role collaborates with application engineering teams and requires Linux administration, Python or Go development, container security, and CI/CD automation experience.

Lead the design, development, and operation of large-scale distributed software systems for Cisco ThousandEyes. Partner with product and engineering leaders to integrate technologies across Cisco wireless and security portfolios, develop AI-powered diagnosis and remediation capabilities, improve developer productivity, and mentor engineers. Collaborate cross-functionally to deliver internet-scale products using production-grade software engineering practices.

Leads pre-sales design of modern enterprise data platforms, including lakehouse, warehouse, federated, and data-product architectures. Advises customers on data strategy, legacy estate modernization, integration, governance, semantic layers, security, observability, FinOps, and AI-ready data. Leads discovery workshops, demonstrations, proofs of value, proposals, RFP responses, TCO and ROI modeling, partner engagement, and technical handoffs. Develops reusable reference architectures and go-to-market offerings while mentoring colleagues and maintaining platform expertise.

Build and maintain reusable Terraform modules for cloud database platforms across AWS and GCP. Develop Python automation, validations, testing, documentation, CI/CD workflows, security guardrails, and developer-experience tooling. Partner with application, security, risk, and compliance teams to create composable, well-documented infrastructure patterns with sane defaults. Improve module reliability and operability while expanding multi-cloud coverage.

Serve as a trusted technical advisor across pre-sales and post-sales for enterprise customers. Design architectures for AI, agentic, and web applications; lead technical discovery, demos, workshops, proofs of concept, migrations, and onboarding. Guide performance, reliability, security, compliance, and cost optimization efforts while collaborating with Sales, Product, Engineering, and customer stakeholders. Develop reusable technical assets, provide enablement, and communicate customer needs into product roadmaps.

Drive new business acquisition within an assigned territory by prospecting, qualifying, and closing enterprise sales opportunities. Build relationships with CTOs, engineering and IT leaders, and technical users; communicate the value of complex technology; grow accounts; and manage complex sales processes. Collaborate with solution architects, professional services, ecosystem partners, and channel partners to maximize deal sizes and customer success.

Develop and deploy production AI/ML applications for digital banking, using Python, SQL, cloud platforms, LLM patterns, classical machine learning, and data analysis. Responsibilities span requirements gathering, solution design, prototyping, evaluation, deployment support, monitoring, governance, and iteration. The role collaborates with product, operations, marketing, and technical teams to deliver customer and operational improvements while supporting risk, privacy, and model controls.

Provides end-to-end technical support for CrowdStrike customers, troubleshooting cloud, Kubernetes, container, Linux, API, and security-platform issues. Resolves cases through multiple channels, documents bugs, creates knowledge-base content, communicates recommendations, and escalates complex issues. Partners with Engineering and internal stakeholders to improve products and customer outcomes. The role also serves as a subject matter expert for a key product feature and supports customers integrating, deploying, and maintaining CrowdStrike services.

Owns the strategy, roadmap, backlog, metrics, and lifecycle for cloud infrastructure products supporting engineering teams. Leads discovery, prioritization, requirements, release management, and agile delivery while balancing technical and business objectives. Partners with Engineering, Product, Compliance, Operations, Investments, and external stakeholders to deliver scalable, resilient, reliable infrastructure products.

Leads software architecture and engineering excellence for enterprise-scale infrastructure features. Builds and evolves full-stack, user-facing web products with a backend focus, working across UI, databases, data governance, and account controls. Partners with Product and Design from conception through deployment, contributes hands-on code, and provides technical leadership without people management responsibilities.

Develop and maintain scalable ServiceNow software applications, integrations, scripts, and custom platform configurations. Troubleshoot defects, support customer implementations, participate in requirements reviews and Scrum ceremonies, and manage multiple customer projects. The role involves REST and SOAP integrations, ServiceNow development, and exposure to cloud platforms, DevOps tools, ITOM, Discovery, Service Mapping, and AIOps.

Lead security incident response and digital forensic investigations, act as Incident Commander, monitor and analyze security events, build scripts and automated workflows (Python), use SIEM and cloud (AWS/GCP) tooling, mentor engineers, coordinate cross-team remediation, participate in on-call rota aligned to UK/EMEA hours.

Design, develop, test, and maintain Java and Kotlin backend services, REST APIs, payment orchestration systems, and event-driven financial platforms. Build scalable services on AWS, optimize PostgreSQL databases and SQL queries, and support card pay-in functionality. Collaborate cross-functionally, conduct code reviews, resolve performance issues, participate in on-call rotations, and ensure secure handling of financial data.

Lead pre-sales architecture for MongoDB Atlas and specialize in application search, including lexical and semantic search. Advise customers on scalable systems, conduct technical discovery, demos, proofs of value, presentations, sizing, and documentation, and support complex enterprise deal cycles. Enable other solution architects, mentor colleagues, relay customer feedback to Product Management, and influence Vector Search and AI/ML direction. The role is remote in Barcelona, Dublin, or London and requires approximately 25% travel.

Designs and develops secure, scalable agentic commerce solutions for payments. Responsibilities include building agent orchestration components and MCP servers, developing Python services, creating Databricks data pipelines, supporting MLOps workflows, evaluating agent behavior, implementing observability, and improving operational stability. The role requires cloud-native engineering, API and event-driven services, LLM application development, responsible AI practices, Kubernetes, and secure production software delivery.

Leads the design, productionization, and operation of LLM-powered agentic commerce applications. Builds retrieval systems, agent memory, organizational context, multi-agent workflows, evaluation frameworks, guardrails, and ML pipelines. Deploys resilient, observable solutions on AWS or Azure using MLOps practices, while partnering with product, business, data science, and engineering stakeholders to deliver secure, auditable production agents.

Drive IT SOX scope rationalization, dependency mapping, RACM development, and control optimization across cloud and SaaS environments. Support ITGC and ITAC testing, onboard new systems, document system dependencies, and partner with Finance, Risk, Security, and Platform stakeholders. Translate technical architecture and cloud-native processes into audit-ready documentation while identifying redundant or missing controls.

Performs SOX 404 IT control testing for access management, change management, and application controls across cloud and SaaS environments. Partners with Finance, Risk, Security, and Platform teams; supports control owners; uses analytics and automation to improve testing; and maintains compliant documentation. The role requires expertise in SOX, COSO, NIST, and ISO 27001 frameworks, cloud-native audits, CI/CD change management, and microservices access management.