Top AWS Jobs in London

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.

Designs and manages secure, automated CI/CD pipelines across AWS and GCP. Leads DevSecOps, GitOps, Infrastructure as Code, cloud security, container orchestration, monitoring, testing, and automation initiatives. The role develops scalable cloud-native architectures using Terraform, Ansible, Kubernetes, Docker, Helm, and related tools; troubleshoots infrastructure; ensures compliance and resilience; and collaborates with software, testing, security, and cloud engineering teams.

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.

Design, develop, and maintain high-volume backend payment services using Java, Kotlin, Spring Boot, AWS, PostgreSQL, and Kafka. Build REST APIs, payment orchestration systems, automated tests, and event-driven architectures supporting card pay-ins and recurring payments. Optimize performance, scalability, and reliability; participate in code reviews and on-call rotations; and ensure secure handling of financial data and regulatory compliance while collaborating cross-functionally.

Leads a London-based team building and scaling B2B agentic commerce systems and production ML models. Owns engineering delivery, team development, architecture, ML operations, security, model risk governance, platform integration, vendor evaluation, and production stability. Partners with product, platform, data, and business stakeholders while establishing responsible AI and AI-assisted engineering practices.

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.

Design and develop software and data technologies for cancer care, collaborating with U.S. engineering teams, clinicians, oncologists, product leaders, scientists, and customers. Responsibilities include shaping roadmaps, building engineering teams, solving technical and business problems, developing products, managing complex data pipelines, and maintaining quality, security, and privacy standards. The role also requires understanding UK healthcare data sources, information governance, and emerging trends.

Lead the architecture and hands-on development of Mastercard’s enterprise agentic AI platforms. Own runtime orchestration, governance, multi-tenancy, model and tool integration, security, observability, evaluation, and production lifecycle management. Design scalable multi-agent systems, API-first capabilities, model-agnostic integrations, and AI safety controls. Establish engineering standards, conduct architecture and code reviews, advise executives, document technical decisions, and mentor engineers.

Build and evolve Wise’s scalable compute platform, enabling engineers to deploy and manage services reliably. Responsibilities include architecting infrastructure, automating AWS and application workflows, improving system scalability and resilience, advancing Kubernetes and service mesh capabilities, and leading technical projects while mentoring peers.

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.

Develop and deploy machine learning and generative AI solutions for payments and banking operations. Build LLM-powered workflows, evaluation frameworks, ML services, and production deployment pipelines. Apply MLOps practices including monitoring, testing, versioning, governance, and rollback. Collaborate with product, risk, operations, and technology teams while documenting models, communicating results, and ensuring secure, reliable, and compliant production systems.

Draft, review, and negotiate enterprise SaaS, software licensing, services, reseller, vendor, DPA, NDA, and partner agreements. Advise Italy and UK sales and operations teams on commercial, intellectual property, licensing, revenue recognition, privacy, and related legal matters. Improve agreements and internal processes while providing practical, timely guidance and managing multiple priorities in a technology-focused business.

Supports Cloud FinOps delivery for small and mid-tier customers by analyzing cloud spending, identifying optimization opportunities, assisting with forecasting and budgeting, developing governance frameworks, and preparing reports and dashboards. The role also supports sales proposals, customer education, stakeholder engagement, and continuous improvement of FinOps services across AWS, Azure, and Google Cloud environments.

Design and develop scalable backend systems for a global expense management platform supporting commerce, payments, issuing, ledgers, automated policies, administrative controls, and accounting integrations. Own features end to end from architecture and implementation through deployment, monitoring, troubleshooting, and operational support. Collaborate with engineering, product, design, and business teams while promoting high standards for scalability, testing, documentation, reliability, and code quality.

Build, analyze, maintain, and optimize scalable data pipelines and complex data infrastructure. Develop ETL processes, data models, algorithms, and production software while working with large datasets and distributed batch processing. Collaborate with global engineering and product teams through analysis, prototyping, development, deployment, and maintenance. Apply data engineering, database, cloud, workflow orchestration, and software engineering practices in a dynamic agile environment.

Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.

Lead technical strategy, architecture, and delivery for a large-scale risk analytics and reporting platform. Design scalable Java and React-based applications, govern frontend architecture and design systems, integrate enterprise platforms and data sources, and drive reliability, resiliency, observability, security, and compliance. Partner with Risk, Product, Data, Architecture, and Engineering stakeholders while evaluating AI, machine learning, and generative AI capabilities for analytics, automation, and decision support.

Monitors and triages security alerts, investigates incidents through resolution, conducts threat hunting, and develops or tunes detection rules. The analyst correlates endpoint, network, cloud, and identity telemetry; uses AI and automation to improve investigations; documents findings and incident reports; collaborates with global SOC and response teams; and helps maintain playbooks while participating in a weekend rotation approximately every five weeks.

Owns the end-to-end architecture of a global hosting capability across public and private clouds. Defines standardized hosting models, datacentre patterns, security controls, risk and trust capabilities, and multi-cloud portability strategies. The role provides technical leadership, architecture governance, roadmap development, AI-enabled platform integration, governance automation, stakeholder management, and mentoring while supporting regulated-market delivery across multiple countries and infrastructure products.

Lead technology risk and controls activities across cybersecurity and business applications. Assess, monitor, and report risks; evaluate controls; identify gaps; recommend mitigation strategies; support regulatory compliance; document issues and action plans; and conduct threat modeling with application teams. The role requires collaboration with senior stakeholders and technology teams, plus knowledge of SDLC, cloud infrastructure, IAM, data protection, application security, resiliency, and vulnerability management.

Build and maintain DevSecOps tooling for AWS cloud environments, including threat modeling, security guardrails, policy-as-code, vulnerability analysis, compliance reporting, and runtime security visibility. Develop automation for security findings and software supply chain controls, support audits and incident response, and provide remediation guidance to engineering teams. Collaborate with platform engineers, product squads, risk, and governance teams while using authorized AI-assisted development tools securely and validating generated outputs.

Leads a team building secure, production-grade AI-driven software systems. Responsibilities include software architecture, Java or Python development, AI/ML integration, LLM and generative AI applications, algorithm validation, automated testing, CI/CD, cloud-native development, troubleshooting, and operational reliability. The role also establishes responsible AI practices, validates AI-assisted engineering outputs, mentors engineers, translates business requirements into technical roadmaps, and ensures timely delivery through Agile methodologies.

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.