Top AWS Jobs in London

Generate and qualify outbound leads from startups in the cloud ecosystem through phone, email, social media, events, and prospecting tools. Maintain Salesforce pipeline records, manage early sales-cycle stages, and hand qualified opportunities to Account Executives. Collaborate with sales and marketing, engage C-level executives, track lead-generation targets, monitor cloud and startup trends, and travel locally and internationally for business development activities.

Build and scale a full-stack platform for managing clinical trials. The role involves developing frontend, backend, and infrastructure components; collaborating with product managers, designers, users, and nontechnical teams; supporting production systems; investigating and fixing bugs; responding to user issues; and contributing to product development processes in a fast-growing clinical-trials technology startup.

As a Lead Solutions Architect, you'll drive organizational transformation through Data & AI, engage with executive leaders, and mentor teams.

Leads and grows a data science team while remaining hands-on with coding, machine learning, data collection, clustering, attribution, heuristics, and model governance. Defines research direction, hires and develops scientists, builds scalable datasets, ensures model validation and monitoring, and partners across Intelligence, Product, and Engineering. Requires strong Python and SQL skills, modern cloud data-stack experience, AI fluency, technical leadership, and the ability to work with large behavioral or transactional datasets.

Build and operate scalable, multi-tenant data infrastructure for millions of Lovable applications. Responsibilities include ingestion, analytical storage, schema management, partitioning, compaction, query performance, isolated agent-written connectors, scheduling, retries, metering, workload isolation, observability, freshness, and recovery. The role requires production ownership across data platform layers while controlling tenant costs and protecting workloads from untrusted or noisy producers.

Manage PostgreSQL and EDB database services across on-premises and cloud environments. Responsibilities include high availability, backup and recovery, replication, monitoring, performance tuning, security, migrations, automation, documentation, incident response, and on-call support. The role requires extensive production PostgreSQL administration, strong Linux and cloud skills, infrastructure-as-code and version-control experience, and expertise with EFM, Barman, PEM, TPA, PgBouncer, and PostgreSQL recovery technologies.

Build and scale reliable, API-driven global payment systems integrating with banks and payment gateways. Translate requirements into maintainable, tested software; collaborate cross-functionally; resolve performance and usability issues; participate in code reviews; manage technical debt; and support operational health and high service-level availability.

Own customer-facing platform implementations from discovery through production. Translate business requirements into workflows, configurations, integrations, tooling, and scalable technical solutions using Python, TypeScript, React, APIs, SQL, and related technologies. Design automated testing, manage GitHub Actions deployment pipelines, troubleshoot technical issues, support customer demonstrations and UAT, and collaborate with Product and Engineering to improve platform capabilities and delivery standards.

Deliver end-to-end Palantir Foundry solutions, including data pipelines, transformations, ontology models, integrations, and production deployments. Translate client requirements into scalable, governed, high-performance data applications using Python, SQL, and PySpark. Collaborate with business and technical stakeholders, lead solution design and implementation, support adoption, and provide technical guidance. The role also contributes to data architecture, testing, CI/CD, data quality, security, and platform engineering best practices.

Lead a three-person developer experience engineering team while designing and improving developer tooling, platform standards, automation, and software delivery practices. Provide technical guidance, coach engineers, and collaborate across engineering teams to enable faster, safer, and more reliable delivery. The role involves hands-on work with .NET, TypeScript, Node.js, cloud platforms, CI/CD, testing, infrastructure as code, and platform engineering practices.

Lead the design, development, optimization, and production deployment of machine learning and statistical models for automated insurance risk assessment and underwriting. Architect scalable data pipelines and infrastructure, collaborate with data scientists, engineers, and underwriters, mentor engineers, establish technical best practices, and evaluate emerging AI and machine learning techniques.

Build and maintain full-stack systems for electric vehicle leasing using Python, React, GraphQL, PostgreSQL, NoSQL databases, and AWS. Responsibilities include developing APIs, integrating internal and third-party services, creating performant frontend applications, maintaining scalable code, collaborating cross-functionally, owning features from inception through delivery, and mentoring teammates. Bonus experience includes TypeScript, Next.js, AWS infrastructure as code, event-driven systems, and AI technologies.

Operate and scale GPU infrastructure platforms across Linux, bare-metal, cloud, and Kubernetes environments. Design reliable platforms, automate provisioning and operational workflows, deploy improvements, manage observability, respond to incidents, and participate in on-call rotations. Collaborate with infrastructure, networking, customer success, and software teams while troubleshooting complex systems and balancing design, risk, cost, and business outcomes.

Build and integrate APIs, optimize lending platforms, contribute to architectural decisions, and deliver high-quality PHP software. The role involves backend product engineering across collaborative, cross-functional teams, using Symfony or Laravel, automated testing, microservices, and event-driven design. Engineers are expected to demonstrate ownership, autonomy, strong business judgment, and a commitment to continuous learning.

Develop and support a high-throughput, low-latency energy trading platform. Responsibilities include improving exchange and broker connectivity, building SDK and API features, enhancing observability, implementing automated trading capabilities, benchmarking for performance, designing complex features, contributing to RFCs, and mentoring junior engineers. The role requires expertise in C#, Rust, concurrency, distributed systems, and software reliability.

Leads architecture consulting engagements for healthcare and life sciences clients, shaping architectural strategies, delivering complex end-to-end solutions, and advising senior stakeholders. Responsibilities include launching service propositions, driving business development and pre-sales, developing client relationships, coaching teams, and guiding digital transformation across application, business, and integration domains.

Design, deploy, and operate highly available, multi-region SaaS infrastructure on AWS. Build Kubernetes-based platform tooling, automate deployments and operational processes, improve reliability and security, conduct scale and chaos testing, and participate in 24x7 incident response. Collaborate with software engineering teams to optimize performance, resilience, and operational excellence across a microservice platform.

Lead technical customer onboarding, integrations, training, observability strategy, troubleshooting, and success planning. Advise customers from DevOps teams to executives, conduct QBRs, demonstrate ROI, advocate for product improvements, and collaborate with Sales on renewals and expansion. The role requires strong AWS, Kubernetes, Docker, Linux, observability, infrastructure-as-code, and communication expertise.

Leads the technical architecture and engineering practices for corporate IT across identity, endpoints, networking, cloud, and infrastructure. Designs Terraform modules, CI/CD pipelines, secrets management, and testing practices; leads major IT projects; supports segmented and air-gapped environments; serves as a senior escalation point; and mentors engineers. Requires strong Microsoft 365, Entra ID, Jamf, Intune, networking, Zero Trust, and DevOps expertise, with AWS, Azure, virtualization, security, and regulated-environment experience advantageous.

The Senior AI Agentic Engineer will oversee product strategy and architecture for AI projects, lead cross-functional teams, and manage client interactions across financial services.

Design, build, and deploy production-grade ML systems and reusable infrastructure. Collaborate with cross-functional teams, lead technical scoping and architecture, define deployment standards, and advise clients on ML feasibility and delivery.

Drive enterprise customer adoption and retention through technical guidance, enablement, troubleshooting, strategic engagement, webinars, and educational content. Analyze customer health and engagement data, identify churn risks, provide product feedback, improve scaled customer-success programs, and collaborate with Product, Engineering, Sales, Marketing, and CX Operations. Support both one-to-one and one-to-many customer initiatives in a remote-first environment.

Lead a software engineering team through cloud-native modernization, managing hiring, coaching, sprint delivery, architecture, testing, CI/CD, observability, incident response, and operational excellence. Collaborate with Product, Design, Data, SRE, and leadership to deliver reliable microservices and improve engineering culture, platform scalability, and cross-team alignment.

Supports live client environments for wealth management platforms by investigating production incidents, performing root cause analysis, reviewing logs, resolving application and integration issues, supporting deployments and UAT, and improving reliability and monitoring. The role requires Java enterprise application experience, strong SQL and troubleshooting skills, cloud knowledge, API and integration expertise, client communication, and participation in out-of-hours incident support.

Build and operate data pipelines across Salesforce, HubSpot, Stripe, and Databricks; maintain go-to-market analytics models and dashboards; develop LLM-based agents and automations for Sales, Marketing, and Finance; and productionize integrations with testing and monitoring.