Top AWS Jobs in London

Lead strategic partnerships with system integrators, VARs, consultancies, cloud platforms, ISVs, and AI ecosystem companies. Responsibilities include recruiting and enabling partners, developing joint GTM plans, negotiating agreements and incentives, driving co-selling and partner-influenced pipeline, building partner programs, tracking revenue impact, conducting QBRs, and advocating for partner needs internally. The role collaborates across Sales, Marketing, Product, and Customer Success to scale partner-led enterprise growth.

Pre-sales Solutions Architect working with sales, partners and customers to design, validate, and deploy Veeam solutions. Responsibilities include architectural design, large-scale proofs-of-concept, technical alliance validation, post-sales deployment support, documentation (whitepapers, best practices), community engagement, and public technical presentations.

Own AI engagement outcomes from success definition through production delivery. Design and evaluate end-to-end AI and GenAI systems, manage technical risk and trade-offs, communicate with clients, lead code reviews, resolve technical disagreements, mentor engineers, and develop reusable components and best practices. Deploy models and LLMs on AWS or Databricks with strong testing and CI/CD practices.

Industry Expert who sets the technical bar for advanced AI, ML, systems, or forward-deployed engineering programs. Responsibilities include reviewing deployed projects, leading technical defenses and mock review boards, delivering occasional live sessions, critiquing architecture and tradeoffs, and advising instructors on difficult design decisions. The role requires production-scale engineering experience, senior-level judgment, a public technical footprint, strong English, and comfort with AI tools. It is fully remote and requires approximately 4–10 hours monthly.

Own and grow Databricks’ public-sector enterprise business across Ireland and Scotland. Manage strategic government accounts, protect renewals, expand platform consumption, and develop net-new opportunities. Build territory and go-to-market strategies, engage senior government stakeholders, map buying centers, create business cases, manage complex sales cycles, and coordinate internal teams, cloud providers, systems integrators, and partners. Use structured sales methodologies and disciplined forecasting to deliver quota attainment and sustainable customer growth.

Lead and manage software engineering teams, oversee technical delivery, resolve blockers, and maintain development, DevOps, testing, and agile best practices. Work directly with clients to translate requirements into technical briefs, make architectural decisions, and ensure scalable, secure, maintainable applications. Provide project updates, mentor engineers, and support effective decision-making across distributed teams.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

The role involves building and operating ML systems and infrastructure for large foundation models, data pipelines, and experiment orchestration in a collaborative environment.

The Principal Cloud DevOps Engineer will enhance infrastructure for ID verification solutions, automate deployments, manage teams, and collaborate with security teams.

Own and operationalize audit-ready security controls (DORA, GDPR, SOC 2, ISO 27001) across AWS, Kubernetes, and application layers. Translate regulations into technical controls, automate evidence collection and compliance checks, lead audit preparation and walkthroughs, remediate issues, and partner with Legal, Compliance, Risk, and engineering to embed secure-by-default design.

Lead Java Developer responsible for delivering Real-Time and On-Demand Risk enhancements, managing the full development lifecycle, collaborating with global teams, and driving operational improvements.

Develop and maintain the global Securities Finance platform (on-prem and AWS). Own projects end-to-end, write unit tests, assist with user testing, and work with support/release teams to deliver robust, high-performance solutions for front and middle office users.

Set technical direction and architecture for backend systems and API integrations in a distributed microservices fintech platform. Design and implement reliable, highly available RESTful APIs, build third-party integrations, enforce observability and CI/CD best practices, optimize performance and scalability, produce technical documentation, and mentor engineers to raise engineering quality.

Design, build, and maintain backend microservices and RESTful APIs; integrate with third-party vendors; ensure scalability, observability, and reliability; own technical architecture, CI/CD, and documentation; optimize databases and message-driven systems.

Build and maintain scalable, reliable backend infrastructure for a fintech platform: data pipelines, integrations, AI/LLM infrastructure, compliance automation, and user-facing APIs. Own performance, observability, security, and correctness for systems handling regulated financial data. Contribute to architecture, documentation, and operational excellence as the platform scales.

Design, develop, and deploy scalable SaaS applications while implementing DevOps practices, ensuring high performance, and collaborating with the product team to enhance user experience.

Design, build, and maintain large-scale distributed data systems and pipelines for blockchain analytics. Ship production code, drive technical direction, mentor engineers, improve reliability, observability, and cost efficiency, and collaborate with product, data science, and intelligence teams.

Lead data science initiatives to enhance player engagement and business outcomes through machine learning solutions, collaboration, and technical leadership.

Provide technical support for Sigma's analytics platform by diagnosing complex SQL and data issues, triaging with engineering and product teams, developing diagnostic tools and best practices, and delivering clear solutions and visualizations to enterprise customers.

The Major Enterprise Account Executive drives complex sales cycles, engages with C-level executives, builds business cases, and partners with solution engineers to close sales for Coralogix's observability platform.

Partner with enterprise customers to discover AI opportunities, design end-to-end solution architectures on Aion's platform, lead POC-to-production delivery, integrate with enterprise systems, optimize performance, and provide technical leadership, product feedback, and enablement materials to drive AI adoption.

Hands-on cloud engineer responsible for designing, implementing, and supporting Azure and Oracle Cloud (with AWS onboarding) IaaS/PaaS solutions, driving automation, producing architectures, and collaborating with app/infrastructure teams to ensure secure, scalable, and cost-efficient cloud platforms.

Build and maintain Ashby's platform and SRE tooling: scale infrastructure, implement IaC, improve reliability (SLOs/SLIs), enable safe deployments (canaries, feature flags), enforce security/privacy guardrails, and support event-driven architecture and data warehousing while partnering with product and engineering teams.

Design, build, and maintain Python-based AI applications and intelligent workflows. Integrate AI/ML models and LLM APIs, implement APIs and microservices, optimize data pipelines, ensure scalability, security, CI/CD, and collaborate across teams to deliver production-grade AI features.

Design, build, and operate multi-region AWS platforms and cloud networking (VPCs, Transit Gateway, PrivateLink). Automate infrastructure with IaC, implement security controls, enable cross-region routing, ensure HA/DR, monitor with CloudWatch/X‑Ray, troubleshoot networking/latency, and collaborate on CI/CD and platform self-service.