Top AWS Jobs in London

Lead technical sales for strategic enterprise accounts across AI governance, container security, DevOps, and software supply chain integrity. Conduct technical discovery, shape deals, run competitive proofs of concept, deliver demos and architecture reviews, advise senior security and platform stakeholders, build technical champion relationships, support competitive strategy, and advocate for customer needs internally. The role requires close collaboration with Account Executives, Product, Engineering, Post Sales, and Support teams.

The Solutions Architect will design customized CCaaS solutions, support pre-sales, and work with technical teams to ensure effective project delivery.

Leads IRIS’s corporate applications strategy, roadmap, transformation, reliability, governance, and operational performance. Owns CRM, ERP, billing, finance, and SaaS platforms while driving consolidation, modernization, configuration-first governance, and M&A integrations. Partners with business leaders to prioritize system and process improvements, manages vendors and budgets, strengthens security and compliance, and leads business systems, application administration, and engineering teams. Oversees platform monitoring, incident management, architecture, documentation, and scalable integration across a growing international organization.

Lead end-to-end delivery of complex Industrial AI and digital transformation projects, from kickoff through deployment, adoption, and value realization. Own scope, schedules, budgets, quality, financial performance, risks, governance, and customer outcomes. Partner with technical teams and executive stakeholders, manage steering committees, facilitate value realization workshops, support change management and training, and identify expansion opportunities. Apply PMO methodologies and continuous improvement practices across enterprise software and industrial technology implementations.

Partners with the CMO to translate strategy and decisions into coordinated execution. The role manages strategic priorities, cross-functional programs, risks, dependencies, governance, executive reporting, stakeholder alignment, and organizational improvements. It also identifies opportunities to apply AI and automation to improve workflows and productivity, while handling confidential information with sound judgment.

As a Senior DevSecOps Engineer, you will integrate security into CI/CD processes, design security tooling, implement policy-as-code, and champion secure engineering practices.

Lead and contribute to building scalable, production-grade data systems for private markets. Architect end-to-end data workflows supporting analytics and AI/ML, ensure observability, testing, and operational maturity, influence technical strategy, engage senior stakeholders, and manage and mentor software engineers while partnering with product, data science, and business teams.

Design and develop clean, maintainable software for automated document-processing products. Collaborate with business stakeholders to translate requirements into product improvements, conduct code reviews, guide technical direction, mentor colleagues, and improve engineering practices. The role uses Golang, MySQL, Docker, Kubernetes, cloud infrastructure, and GitHub CI/CD while emphasizing product ownership, clean architecture, software craftsmanship, and technical communication.

Serve as a technical sales resource for UK commercial accounts by building customer relationships, leading technical discovery, presentations, demonstrations, workshops, and proof-of-concepts. Partner with sales managers to achieve technical wins, validate solutions, support buying decisions, and drive product adoption. Maintain current Splunk expertise and opportunity updates in Salesforce while advising customers on integrations, infrastructure, security, observability, and data solutions.

Build and improve developer experience for Neo4j’s Aura cloud platform. Support engineering teams with onboarding, documentation, workflows, tooling, and developer-facing services. Maintain AI agent skills and instructions, evaluate AI-assisted development workflows, and collaborate with delivery and platform teams. The role requires Golang, Kubernetes and container literacy, CI/CD and Git experience, strong technical writing, and an interest in solving developer pain points.

Leads technology internal audit and technology risk engagements for large, complex organizations. Responsibilities include managing client portfolios and teams, planning and overseeing audits, reviewing testing and evidence, presenting findings to audit committees, developing cloud assurance services, supporting business development, managing engagement finances, and creating annual audit plans. The role requires expertise across cloud governance, cybersecurity, resilience, data protection, supplier management, DevSecOps, and public or private cloud platforms.

Deliver technical client deployments of the OneView platform, including data extraction, engineering, data science, cohort development, dashboards, predictive models, and analytics. Manage technical project delivery, stakeholder communication, benefits tracking, client training, testing, and platform improvements. Work with consulting, governance, product, and QA teams to translate client data into actionable insights and measurable social impact.

Design and build backend platform and SDK features for an open-source and cloud product. Responsibilities include database schema design, query optimization, scalable APIs, reliable production systems, security, observability, architecture, and technical roadmap development. The role also involves customer support, code reviews, documentation, open-source participation, and occasional on-call work.

Advise enterprise customers on AI adoption by identifying high-value use cases, building prototypes, proving business value, and guiding deployments from concept to sustained adoption. Lead technical and executive discussions, apply expertise in prompt engineering, LLM selection, governance, agentic workflows, and integration, while collaborating with account, product, and engineering teams. Share field learnings through playbooks and product feedback. Regular customer-site travel of approximately 50% is required.

Principal Solutions Architect supporting strategic enterprise sales by translating business objectives into data, AI, MarTech, commerce, and cloud architectures. The role advises senior technology leaders, leads architecture discussions, workshops, RFPs, technical evaluations, and executive presentations, and connects technical decisions to commercial outcomes. It also partners with Sales, Product, Engineering, and Customer Success, mentors customer-facing teams, develops technology-partner relationships, and provides market and customer insights.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Supports the operational resilience, deployment, monitoring, and incident resolution of a hosted digital policing application. Responsibilities include customer service reviews, SLA monitoring, release and patch support, software engineering liaison work, shared-services coordination, technical documentation, SQL Server cluster support, and root-cause analysis. The role requires cloud, operating system, database, scripting, observability, and infrastructure expertise, plus customer engagement and participation in an on-call rotation.

Lead a distributed engineering team while contributing code, architecture, reviews, and technical decisions. Mentor engineers, manage performance and career development, promote DevOps, CI/CD, testing, and quality practices, and deliver scalable user-facing systems. Collaborate with product, design, data, and AI specialists to prioritize roadmaps and build adaptive learning capabilities. Help evolve engineering processes, reliability, delivery speed, and team structure in a fast-growing education technology company.

Leads platform operations across SRE, security engineering, and developer experience for Arbor’s SaaS applications. Owns availability, SLOs, incident management, vulnerability remediation, internal developer platforms, CI/CD, production ownership, and engineering productivity metrics. Builds engineering leadership, drives cross-functional accountability, and oversees cloud and infrastructure standards using AWS and Terraform. The role also guides responsible AIOps adoption, compliance alignment, and operational transformation across multiple products and markets.

Own and scale AWS infrastructure for a global SaaS platform, focusing on reliability, performance, security, and availability. Build CI/CD pipelines and infrastructure-as-code with Terraform, Terragrunt, and Chef; operate observability tooling; support migrations; drive SOC 2 practices; and partner with engineering teams on architecture. Respond to on-call incidents, lead root cause analyses, implement durable fixes, and evaluate AI tools that improve DevOps and SRE workflows.

Designs, builds, and maintains platform software and deployment tooling across desktop, on-premise, cloud, and air-gapped environments. Responsibilities include production container images, stateful distributed-system upgrades, CI/CD pipelines, infrastructure self-service capabilities, deployment instrumentation, testing strategy, application security, and customer releases. The engineer contributes to architecture, validates specifications, and oversees the quality of AI-generated code while collaborating with engineers, architects, designers, product managers, and stakeholders.

The Sr. Solution Architect will drive customer success by providing cloud solutions, pre-sales support, technical advisory, and relationship management, ensuring scalability and efficiency in cloud environments.

Lead information security and enterprise risk management, including assessments, treatment plans, risk registers, reporting, risk appetite, third-party risk, audit readiness, control improvement, and remediation tracking. Partner with security, engineering, legal, privacy, product, finance, sales, and other stakeholders to translate technical risks into business decisions. Maintain risk components of ISMS, BCMS, and AIMS while improving governance, metrics, workflows, and stakeholder capability.

Designs and delivers scalable data pipelines and Lakehouse architectures using Databricks, Spark, PySpark, and Delta Lake. The role covers ETL/ELT, data governance, security, quality, performance optimization, cloud integration, and CI/CD. It involves technical leadership across customer programmes, architectural decision-making, stakeholder collaboration, mentoring, and supporting reliable production data solutions.

Manage strategic enterprise customer relationships throughout onboarding, implementation, adoption, renewal, and expansion. Develop success plans, monitor customer health and retention, conduct training and health checks, gather product feedback, manage escalations, and identify upsell opportunities. The role requires strong cybersecurity knowledge, including identity security, cloud security, threat frameworks, compliance, and Active Directory or Entra ID vulnerabilities. Collaborate with Sales, Support, Product, and Technical Delivery teams to drive customer outcomes.