Top AWS Jobs in London

Own AI cost visibility features end to end, from Go backend services and APIs processing cloud spend data to TypeScript and React interfaces. Define product direction, understand FinOps and AI economics, build scalable cloud software, and use AI throughout development. Lead design reviews, establish engineering standards, mentor peers, and ensure reliability, usability, and measurable customer impact.

Build and operate reliable production data pipelines, ingestion systems, orchestration, customer data connectors, and infrastructure as code. Manage AWS-based data infrastructure using Terraform, Fivetran, AWS DMS, dbt, PostgreSQL, Lambda, and related services. Develop secure, enterprise-grade integrations for HR and payroll systems, and help connect trusted data to AI agents through MCP connectors and semantic data layers. Collaborate with product stakeholders to design scalable solutions meeting enterprise security and reliability standards.

Provide day-to-day operational support for cloud security and compliance across AWS, Azure, and GCP. Monitor security controls, investigate vulnerabilities and misconfigurations, coordinate remediation, manage CSPM and CNAPP tooling, implement security baselines, develop automation, maintain documentation and runbooks, and participate in incident response, troubleshooting, root cause analysis, and continuous improvement.

Build and evolve a real-time trading risk platform for sportsbook operations. Design distributed streaming components, process the full bet lifecycle, implement complex financial calculations, aggregate exposure, create alerting systems, and optimize high-throughput, low-latency services. Ensure event ordering, idempotency, consistency, scalability, and resilience while collaborating with trading and product teams. The role uses a Flink-based, event-driven architecture and integrates with trader-facing downstream systems.

Develop and evolve a secure, scalable internal platform across GCP and AWS. Responsibilities include designing Terraform infrastructure, managing GKE and EKS clusters, building CI/CD systems, developing internal tools and APIs, troubleshooting platform issues, driving automation, supporting development teams, and enforcing security and compliance practices. The role requires strong coding skills, cloud infrastructure expertise, Kubernetes, Terraform, monitoring, networking, and remote collaboration experience.

Lead the evolution and delivery of large-scale distributed systems for Cisco ThousandEyes. Partner with product and engineering leaders, develop integrations with Cisco wireless and security portfolios, apply AI to issue diagnosis and network remediation, mentor engineers, improve developer productivity, and help build and operate complex Internet-scale systems.

Leads multidisciplinary engineering squads delivering large-scale banking technology programs. Responsibilities include setting engineering strategy, guiding cloud-native and microservices architecture, owning end-to-end delivery, enforcing quality and security standards, driving DevOps and operational excellence, managing stakeholders and risks, and developing distributed engineering teams. The role also oversees governance, release readiness, technical debt reduction, platform modernization, regulatory compliance, and production stability across strategic banking initiatives.

Build and own Python-based curves, pricing, VaR, and risk platforms for oil, gas, and LNG commodities. Engineer dependency graphs, distributed scenario and P&L computation, and scalable numerical workloads using Ray and AWS. Improve performance, reliability, testing, observability, and CI/CD while partnering with quants, market-data engineers, and middle-office teams. The role requires end-to-end production ownership and strong understanding of commodities pricing, curves, P&L, and risk.

Design and build complex, business-critical data pipelines and ML/LLM-powered clinical extraction systems. Collaborate with clinicians, product, and global engineering teams to scale solutions, maintain quality and security, and help grow the European engineering organization while developing UK healthcare domain knowledge.

Leads enterprise pre-sales engagements for post-quantum cryptography, certificate lifecycle management, private PKI, and machine identity security. Advises CISOs and technical stakeholders, conducts cryptographic assessments, designs solutions, delivers presentations and workshops, and leads proofs of concept and implementations. Supports proposals, RFPs, technical enablement, product feedback, partner initiatives, and customer adoption. Requires extensive PKI and enterprise security expertise, strong consulting and communication skills, and more than 35% travel.

Partner with customers after the sale to deploy, integrate, and optimize AI security solutions across cloud, on-premises, and hybrid environments. Provide technical guidance on Docker, Kubernetes, cloud networking, and infrastructure as code; troubleshoot issues; deliver training and documentation; and serve as the primary technical contact. Capture customer feedback and collaborate with product, engineering, and research teams to improve products and support successful scaling.

Lead the technical direction and architecture for Arbor’s data platform, spanning transactional, analytical, and AI systems. Define target architectures, guide technical leads, support product delivery, and enable AI-first engineering through LLM orchestration, RAG, and real-time inference infrastructure. The role includes mentoring, architectural reviews, data governance, security, compliance, observability, DataOps, cloud platform cost optimization, and cross-functional collaboration with product and commercial leaders.

Lead and deliver full‑stack features for international direct‑to‑consumer products. Collaborate with product, design, and analytics; own operations, metrics, on‑call, code quality, and talent development while driving technical design and execution.

Design, build, and maintain end-to-end automated testing for AWS web applications and Salesforce workflows. Automate cross-platform user journeys, Salesforce Lightning UI tests, REST API integrations, webhooks, secure queues, and database validations using SOQL. Integrate test suites into Git-based CI/CD pipelines while ensuring secure, reliable synchronization of enterprise DevOps data between AWS microservices and Salesforce.

Leads UK sales strategy and regional commercial growth across strategic, enterprise, and mid-market segments. Builds high-performing sales teams, manages territory planning, strategic accounts, pipeline, forecasting, MEDDPICC execution, partner relationships, and cross-functional alignment. Drives services-led and software-led growth across DevOps, Developer Experience, Service Management, and Work Management propositions while balancing revenue, margin, productivity, and customer outcomes.

Develop and maintain data pipelines, processing workflows, infrastructure-as-code, containers, and CI/CD pipelines using Python, Spark, Airflow, AWS, Terraform, Docker, and GitLab. Integrate secure data exchanges, support platform products, build Jupyter notebooks, and contribute to architecture, testing, code reviews, Agile delivery, performance, and security. The role also mentors junior developers and collaborates with data engineering, DevOps, and product teams.

Own the end-to-end design, reliability, resilience, and recovery of production data ingestion systems and pipelines. Build batch and streaming ETL/ELT workflows, establish data quality checks and SLAs, improve monitoring and alerting, resolve platform issues, reduce technical debt, and optimize performance and cost. Collaborate with stakeholders, AI teams, and international expansion initiatives while supporting time-series, textual, and event-stream data workloads.

Leads delivery of cloud platforms supporting large-scale transformation, including migration, modernization, and new builds. Establishes architectural principles and platform strategy with senior stakeholders, drives technology direction, and develops platform capability and team members. Advises on AI strategy, governance, and ROI while applying AI responsibly to improve delivery outcomes. Builds standards, blueprints, customer relationships, and account strategies, and contributes to organizational platform engineering, developer productivity, and emerging technology adoption.

Designs and enhances secure end-to-end client IT solutions, identifies vulnerabilities and threats, performs threat modeling and risk assessments, and recommends security controls aligned with business requirements and industry frameworks. The role produces architecture documentation, supports assurance gates, governance, compliance, risk mitigation, supplier security, and security metrics. It also involves client consulting, proposal development, stakeholder communication, and coaching junior team members.

Ensures information security controls are designed, tested, effective, and aligned with business risk. Responsibilities include maintaining ISO-aligned security management systems, conducting risk and supplier assessments, coordinating audits and remediation, managing compliance metrics, supporting incident response, governing security forums, and advising stakeholders on cyber risk, data protection, vulnerabilities, and regulatory requirements.

Drive cloud security sales across Northern Europe: build territory plan and pipeline, lead end-to-end Falcon Cloud Security deals, enable regional account teams, engage technical and executive stakeholders, support post-sale adoption and expansion, and provide product and market feedback. Travel up to 50%.

Lead technical scoping and solution design for CrowdStrike Falcon deployments, create SOWs and architecture, support pre-sales activities, align services to business outcomes, develop service offerings, and collaborate across Sales, Delivery, Product, and Customer Success to ensure smooth handoffs and measurable customer adoption.

Detect, investigate, and respond to security incidents; maintain logging and SIEM operations; build detections and visibility; support PCI/SOC2/ISO audits; manage endpoint, email, and GitHub security; collaborate across teams and improve on-call and security tooling.

Designs, develops, and operationalizes large-scale backend, API, graph, AI, and machine learning solutions. Responsibilities include technical leadership, cloud-native architecture, roadmap development, testing, code reviews, mentoring, recruitment, stakeholder communication, and improving engineering processes. The role requires extensive Java and Spring experience, AWS cloud development, RESTful APIs, stream processing, low-latency applications, generative and agentic AI, and strong software delivery practices.

Lead enterprise customer engagements from discovery through implementation, adoption, and value realization of BigPanda AIOps solutions. Serve as a hands-on technical architect and advisor, designing integrations, guiding AI readiness, resolving complex operational issues, managing project delivery, and partnering with Sales, Product, R&D, and customers. Contribute to Professional Services practices and support strategic transformation initiatives. The role requires Python or Node.js coding and 10–20% customer travel.