Top AWS Jobs in London

Lead the implementation and governance of ServiceNow ITOM, CMDB, and CSDM strategies. Configure Discovery, Service Mapping, MID servers, integrations, and automation while maintaining data quality and CMDB health. Partner with technical and business stakeholders to establish standards and scalable workflows. Identify opportunities to apply generative AI and agentic workflows to alert analysis, remediation, and anomaly detection across IT operations.

The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.

Leads MongoDB’s UKI Customer Success organization, managing managers and developing high-performing teams. Drives customer retention, satisfaction, expansion, and product adoption through strategic programs and data-driven execution. Partners with executive stakeholders across Sales, Product, Marketing, Support, Professional Services, and HR to align go-to-market initiatives, allocate resources, and achieve long-term business goals.

Lead complex, concurrent enterprise customer implementations from kickoff through sign-off. Manage scope, milestones, resources, budgets, risks, dependencies, quality, and stakeholder alignment while serving as the customer escalation owner. Partner with Professional Services leadership to improve PMO governance, standard operating procedures, project methodologies, reporting, utilization, resource allocation, margins, and customer satisfaction. Operate autonomously in high-pressure technology environments and communicate effectively with executives and cross-functional teams.

Leads high-performance computing and accelerated compute solution architecture for research, education, life sciences, public sector, and sovereign customers. Profiles workloads, designs compute, networking, storage, software, facilities, and hosting solutions, validates vendor architectures, conducts benchmarks, develops cost models, supports tenders, and presents technical proposals. The role combines customer-facing presales consulting, HPC technical authority, workload sizing, data-center readiness, secure research environments, cloud and colocation models, and commercial solution development.

Leads hands-on development of secure, scalable cloud-native software, data engineering, backend systems, and AI/ML infrastructure. Designs microservices and distributed applications, builds production-scale data platforms, develops architecture artifacts, and promotes responsible AI-assisted engineering practices. Works with AWS data services, containers, Kubernetes, DevOps, and MLOps while supporting engineering standards, automation, troubleshooting, and stakeholder communication.

Leads end-to-end software engineering delivery across the SDLC for modern application platforms. Designs, builds, tests, releases, and supports scalable cloud-native solutions using Java, React, AWS, and AI-assisted engineering practices. Drives observability, automation, resiliency, root-cause analysis, and production improvements while mentoring engineers and promoting responsible AI usage, secure development, and operational excellence.

Lead MongoDB’s UK&I Enterprise Growth sales organization by managing Regional Directors, driving revenue and pipeline growth, expanding enterprise customers, and landing new workloads. Responsibilities include recruiting and developing sales leaders, establishing forecasting and operating cadences, executing territory and go-to-market strategies, managing complex enterprise deals, and partnering cross-functionally to improve customer outcomes.

Conduct incident response engagements, threat hunting, intrusion investigations, and host and network forensics across Windows, macOS, and Linux. Analyze malware and network activity, support remediation planning, and communicate findings through reports and presentations to customers, regulators, executives, and legal counsel. The role requires independent technical execution, customer interaction, knowledge of cloud incident response, and the ability to use AI technologies to improve security workflows.

Lead incident response engagements, conduct host and network forensics, hunt for threats, investigate intrusions, perform malware analysis, develop remediation plans, and communicate findings to customers, regulators, legal counsel, and executives. The role also involves thought leadership, customer interaction, team leadership, and applying AI technologies to improve investigative workflows and decision-making.

Conduct incident response engagements, threat hunting, intrusion investigations, and host or network forensics across Windows, macOS, and Linux. Analyze targeted attacks, malware, network activity, and cloud incidents; support remediation planning; and prepare technical findings, reports, presentations, and recommendations for customers, regulators, and legal counsel. The role requires independent technical execution, customer communication, and collaboration with project leadership and internal teams.

Leads cybersecurity incident response engagements, conducts intrusion investigations and host/network forensics across Windows, macOS, and Linux, hunts threats, develops remediation plans, and communicates findings to executives, regulators, legal counsel, and customers. The role also requires technical leadership, thought leadership, project management, cloud incident response knowledge, and use of AI to improve workflows and decision-making.

Own the end-to-end design, development, deployment, and operation of high-throughput, low-latency distributed pricing services. The role involves architecture reviews, API design, coding, testing, documentation, code reviews, operational excellence, resiliency, scalability, and caching. Partner with business stakeholders, solve complex technical problems, recommend architectural improvements, and mentor team members while collaborating on globally distributed Agile teams.

Serve as a senior technical advisor for Cloudflare One, partnering with sales and customers to design, demonstrate, and validate SASE and Zero Trust security solutions. Analyze customer environments, address network and security requirements, guide proof-of-value engagements, explain competitive advantages, support revenue goals, and relay customer feedback to product and engineering teams. The role also focuses on enterprise AI security, including Shadow AI visibility, DLP, MCP access controls, and agentic AI governance.

Leads a cloud platform engineering team, overseeing people development, technical strategy, scalable system delivery, operational reliability, incident response, and engineering standards. Partners with senior leaders to align platform roadmaps with business and regulatory objectives, drives cross-team collaboration, and manages technical risks. Establishes governance and adoption practices for enterprise-authorized AI-assisted development and SDLC automation, emphasizing security, responsible AI, resiliency, measurable outcomes, and reuse of technology assets.

Own and deliver enterprise IT systems projects involving identity and access management, SaaS platforms, automation, AI-enabled operations, device trust, self-service IT, and governance. Build integrations and workflows using identity, collaboration, productivity, and service management platforms. Partner with Security and business teams on compliance, audit readiness, platform roadmaps, incident response, troubleshooting, and operational support.

Own and advance security across AWS, cloud infrastructure, code, dependencies, secrets, containers, and corporate IT. The role involves maintaining security tooling, conducting security reviews, implementing code and infrastructure fixes, driving remediation, supporting ISO 27001 and SOC 2 compliance, advising on secure AI adoption, and leading security projects independently while influencing engineering teams.

Provides real-time, client-facing support for an electronic algorithmic execution platform across equities and listed options. Responsibilities include resolving technical and functional issues, coordinating with technology and engineering teams, advising clients on algorithmic strategies and best execution, and supporting FIX connectivity with exchanges and execution venues. The role requires expertise in options trading, risk management, market structure, transaction cost analysis, and execution quality metrics, plus familiarity with Python, AWS, or Snowflake.

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.

Lead hands-on engineering for an enterprise LLM Suite platform, designing and delivering production-grade AI/ML, GenAI, and agentic systems. Responsibilities include architecture ownership, secure Python and FastAPI development, microservices and API implementation, cloud-based integrations using Azure OpenAI and AWS Bedrock, operational stability, resiliency, CI/CD, and collaboration across engineering teams. The role also explores agent-to-agent communication, Model Context Protocol, and agentic orchestration patterns.

Design, build, and operate enterprise-grade, cloud-native data platforms and pipelines for Preqin's Company Intelligence. Provide technical architecture, end-to-end delivery, data governance, observability, and reliability while leading and mentoring a small team and partnering with product and analytics to deliver measurable business value.

Conduct incident response engagements and intrusion investigations for major organizations. Hunt for threat actors across large datasets, perform host and network forensics across Windows, macOS, and Linux, analyze malware and network activity, and support remediation planning. Prepare reports, presentations, recommendations, and findings for customers, regulators, executives, and legal counsel while collaborating with project leadership and internal teams.

Develop and maintain analytical data models, datasets, semantic layers, and customer-facing reporting infrastructure. Lead data quality, observability, lineage, and model optimization initiatives while collaborating with data, software, and analytics engineers. Apply SQL and cloud data warehouse expertise, mentor junior engineers, and contribute to engineering best practices, including testing, documentation, version control, and continuous integration.

Lead end-to-end technical delivery of complex enterprise engagements using integrations, custom applications, and agentic AI. Design architectures, scope and estimate work, migrate data, build production systems, and ensure AI reliability through evaluation, guardrails, and monitoring. Partner directly with senior customers, define outcome metrics, mentor engineers, contribute to shared tooling, and influence product roadmaps. The role is hybrid in London and requires travel up to 20%.

Owns technically complex enterprise solutions integrating Nasuni with cloud platforms, security products, data services, and partner technologies. Designs and builds lab environments, validates architectures, troubleshoots integrations, manages technical alliance relationships, and translates customer feedback into product and integration improvements. Requires hands-on expertise across storage, networking, identity, security, virtualization, hybrid cloud, and emerging AI infrastructure.