Top AWS Jobs in London

Build scalable Java backend systems using Spring, REST APIs, microservices, databases, messaging, Docker, and cloud platforms. Lead architecture and technical design, promote engineering excellence, mentor engineers, drive delivery, improve automation, and evaluate emerging technologies and AI capabilities. Collaborate with clients and cross-functional teams to deliver secure, resilient software with measurable business value.

Leads enterprise CMDB strategy, ServiceNow architecture, CSDM adoption, technology data governance, data quality, integrations, service modeling, and regulatory controls. Partners with senior stakeholders across architecture, infrastructure, cloud, cyber, risk, and asset management. Oversees CMDB transformation, audit remediation, executive reporting, technology inventories, and operational resilience requirements within a regulated financial-services environment.

Lead analytical data science for Wise’s customer support organization. Measure service quality, diagnose root causes, design metrics, evaluate interventions, and use experiments, causal inference, machine learning, NLP, and LLM techniques to improve customer outcomes. Partner with Product, Design, Operations, and Engineering to guide automation strategy, prioritize opportunities, and influence product and business decisions using customer, conversational, and operational data.

Supports technology, data, automation, and AI audits by assessing governance, controls, model risks, cybersecurity, data quality, and regulatory compliance. Designs analytics, automated testing, dashboards, and AI-enabled tools to improve continuous assurance and audit efficiency. Partners with technology and data teams, translates technical risks into business conclusions, advises auditors, and contributes to internal audit innovation and technology roadmaps.

Design and develop scalable full-stack software, data ecosystems, interactive drug discovery tools, and AI-enabled platforms for scientific research. Lead cloud-native architecture using microservices and event-driven patterns, integrate scientific data and computational workflows, establish engineering excellence across the SDLC, collaborate with research scientists, and mentor developers. The role requires deep backend, frontend, data engineering, cloud, and AI-assisted development expertise.

Designs, builds, tests, deploys, and monitors end-to-end full-stack features using Java backend services and modern web interfaces. Develops RESTful APIs, responsive frontends, scalable microservices, and secure applications. Collaborates with Product, UX/UI, QA, and platform teams; participates in code reviews and architecture discussions; supports CI/CD pipelines, production troubleshooting, and continuous technical improvement.

Define and implement the technical direction for an enterprise deployment platform across AWS, Azure, and GCP. Build cloud-agnostic, secure sandboxing, networking, encryption, and identity systems; develop internal platform services to speed product teams; mentor engineers and collaborate with enterprise customers and cloud providers on complex infrastructure problems.

Designs, develops, and operates secure, scalable platform and infrastructure solutions across cloud and on-premise environments. The role leads platform architecture, Infrastructure as Code, networking, security, CI/CD, containerization, Kubernetes, and observability initiatives. It involves advising public-sector clients, gathering requirements, providing technical recommendations, supporting project delivery, presenting solutions, and contributing to the consultancy’s technical strategy.

Lead technical sales activities including discovery, demonstrations, proof-of-concepts, and architecture discussions. Translate customer data challenges into technical solutions using Python, Airflow, and related tools. Advise customers on DataOps, orchestration, observability, and automation while collaborating with account executives, product teams, and other stakeholders. The role is based in London and requires regular travel to France.

Design and implement video AI solutions for strategic customers using TwelveLabs APIs and multimodal foundation models. Own technical customer relationships, guide secure and scalable architectures, support integrations from kickoff through production, resolve complex technical issues, create implementation documentation, and communicate customer feedback to Product and Engineering teams. Collaborate with Sales, Partnerships, and Engineering while supporting customer applications built with cloud platforms, APIs, LLMs, and modern development technologies.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Lead enterprise commerce solution architecture across Adobe Commerce, Salesforce Commerce Cloud, Shopify, HCL, and composable platforms. Engage senior clients, run discovery workshops, shape platform selections and migrations, design integrations across ERP, data, mobile, and back-office systems, and build business cases tied to commercial value. Own proposals, pitches, demonstrations, proofs of concept, and delivery handovers while supporting account growth and partner relationships.

Leads the strategic vision, lifecycle, roadmap, governance, and commercial execution of enterprise decisioning platforms. Responsibilities include developing automated decision engines and workflow tools, integrating cloud-native architecture and AI, conducting market and customer research, managing product performance and revenue, and ensuring regulatory compliance. The role requires experience with B2B SaaS, risk or credit decisioning, automated workflows, cloud platforms, APIs, and AI-enabled products.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Design, develop, and support cloud-based data solutions across AWS and Azure. Build ETL/ELT pipelines, data integrations, migration processes, warehouses, lakes, and lakehouses. Perform data profiling, quality assessments, validation, reconciliation, troubleshooting, and root-cause analysis. Collaborate with technical and business stakeholders while supporting governance, security, compliance, and technical documentation.

Leads biomedical data science for clinical and health research, integrating clinical, observational, EHR, genetic, wearable, electrophysiological, and video data. Develops signal-processing methods, machine-learning models, probabilistic and time-series analyses, scalable data pipelines, and reproducible workflows. Validates clinically relevant models, supports disease phenotyping and predictive modeling, ensures compliance with pharmaceutical and healthcare standards, and communicates technical findings to clients and stakeholders.

Leads software engineering teams in designing, building, testing, and maintaining scalable, secure applications. Owns technical architecture, estimation, product planning, requirements, and delivery while using AWS, Node.js, TypeScript, Terraform, and AWS CDK. Provides technical direction, customer engagement, mentoring, coaching, and performance management. Applies modern development practices such as XP, TDD, continuous integration, continuous delivery, and production troubleshooting.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Forward Deployed Engineers build and deploy custom software solutions for Swedish government and commercial customers in Stockholm. Responsibilities include integrating platforms with data sources and IT systems, developing applications and data pipelines, rapidly prototyping, collaborating with analysts and operators, leading field technical delivery, and informing the product roadmap. The role requires full-stack or systems engineering expertise, strong communication, and adaptability in high-stakes, ambiguous mission environments.

Customer-facing Solution Architect for EMEA Field Engineering. Provide deep technical expertise in SSE/SASE, cloud and data security; build demos, PoCs, and solution playbooks; collect product feedback; and design and run EMEA technical enablement programmes, workshops, and events to empower SEs and engage customers.

Designs and maintains secure, scalable data pipelines for defence, government, and national security customers. Responsibilities include ETL development, data profiling, modelling, quality controls, governance, anonymisation, cloud storage, workflow optimisation, and support for analytics and visualisation. The role also contributes to data engineering strategy, standards, research, and stakeholder presentations across the full project lifecycle.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Lead technical delivery of Curam implementation projects for government clients. Facilitate technical requirements and fit-gap workshops, design and prototype configurations and extensions, develop Java/J2EE solutions and REST APIs, configure application servers, optimize Oracle or DB2 databases, and support Agile and DevOps delivery. The consultant will collaborate with clients and integration partners, maintain relationships, apply design methodologies, and mentor junior consultants. Occasional travel and second-shift work may be required.

Leads technical sales and customer success activities for Matillion’s AI data automation platform. Diagnoses customer needs, delivers tailored demonstrations and proofs of concept, supports solution alignment, and helps customers onboard and adopt the platform. Builds trusted-advisor relationships, leads business reviews, identifies expansion opportunities, represents the company through technical evangelism, and channels customer feedback to Product and Engineering.