Top AWS Jobs in London

The Solution Architect will lead engineering teams, create architecture artifacts, support senior leaders, and collaborate with multiple stakeholders using agile practices.

Lead a software engineering team, drive improvements in the software delivery lifecycle, implement CI/CD, and enhance system performance while collaborating with clients and stakeholders.

The Senior Staff Software Engineer will lead the architecture of the agentic platform, define shared service designs, partner with teams for reusable capabilities, provide technical leadership, and implement cost-management and evaluation pipelines.

As a Staff Software Engineer, you will develop backend services for the agentic platform, integrating AI capabilities and ensuring system reliability, security, and developer usability.

As a Full Stack Product Engineer, you will design and deliver features, collaborating with product teams while taking ownership of projects and ensuring system performance and maintainability.

Pre-sales Solution Engineer supporting telco customers: design technical solutions, run demos, POCs and trials, respond to RFx, deliver workshops, own technical customer relationships, and drive product feature requests.

As a Postgres Deployment Engineer, you will manage PostgreSQL lifecycles, optimize CI/CD systems, resolve production issues, and mentor teammates. You will focus on deployment stability and enhance developer tools.

Design, build, test and document secure batch and real-time data pipelines, perform logical/physical database design and data modelling, expand platform capabilities, analyse and resolve data processing issues, and ensure alignment with data architecture for downstream consumers.

Embed with product engineering squads to own production reliability for Grafana Cloud databases (Mimir, Loki, Tempo, Pyroscope). Design and implement SLOs, automation, and fault-tolerant patterns; lead incident response and post-incident reviews; improve observability, alerting, and scalability for high-SLA multi-tenant environments; mentor engineers and influence product design for operability.

Designs and governs enterprise data architectures supporting analytics, reporting, operations, and AI initiatives. Responsibilities include data modeling, warehousing, integration pipelines, APIs, governance, quality, lineage, security, and architecture optimization. The role provides technical leadership and mentorship, guides cloud and big data technology decisions, develops proofs of concept and roadmaps, and supports client proposals and account growth. Collaboration with engineers, analysts, developers, and business stakeholders is central to delivering scalable, secure, high-performance data platforms.

Leads and grows an agentic engineering team building reliable AI development systems. Sets technical direction for agent harnesses, integrations, workflows, model-provider abstractions, tool use, context management, and long-running execution. Partners with Product and Design, contributes to architecture and implementation, improves system reliability and performance, and coaches engineers while maintaining strong execution standards.

Build and operate shared AI platform infrastructure for LLM applications, agents, RAG, tool calling, and AI workflows. Develop data and knowledge pipelines, secure enterprise integrations, reusable frameworks, deployment and observability standards, and developer tooling. Take AI systems from experimentation to reliable production while ensuring security, privacy, governance, scalability, quality, and cost efficiency. Collaborate across Engineering, Product, and IT to establish practical AI platform patterns and guardrails.

Own technical architecture for enterprise and regulated-industry Plane deployments from discovery through implementation. Design self-hosted and air-gapped environments, address security and compliance requirements, define migration strategies, support major sales engagements, and translate customer requirements into scoped engineering requests. The role requires strong knowledge of on-premises infrastructure, networking, identity federation, security questionnaires, technical documentation, and customer-facing technical communication.

Own production support for enterprise agentic AI systems, diagnosing failures across models, workflows, integrations, data, and configuration. Lead Sev-1 and Sev-2 incident resolution, provide customer workarounds, conduct root-cause analysis, communicate with senior stakeholders, and convert incidents into engineering and product improvements. The role also improves runbooks, escalation processes, on-call practices, and mentors junior support engineers.

The Senior Enterprise Architect leads the design and implementation of network and cloud architectures, ensuring alignment with organizational goals and industry practices. Responsibilities include defining architecture frameworks, advising on cloud adoption, ensuring security compliance, and managing cross-functional teams.

Build and own end-to-end systems powering autonomous AI sales workflows: high-throughput AI inbound SDR systems, dialer infrastructure, prospecting engines, post-interaction intelligence, and large-scale data pipelines using a modern TypeScript/React/Next.js and AWS-based stack.

Build and maintain backend platform services for multi-cloud compute and inference, implementing orchestration, resource scheduling, deployment pipelines, autoscaling, APIs, and event-driven systems. Design schemas and service APIs, work with messaging, storage, and databases, ensure quality via testing and observability, participate in design reviews, debug production issues, and document operational runbooks.

Embed with enterprise customers to discover use cases and build production multimodal agent systems (voice, video, text). Architect RAG and MLOps pipelines, deploy and optimize LLM-powered agents, implement observability and evaluation, and integrate agents into customer systems while advising stakeholders and delivering fast POCs.

As a Senior Product Engineer (Backend), you'll design and develop APIs and SDKs for embedded insurance and retirement benefits, focusing on system architecture, incident response, and enhancing developer experiences.

Partner with sales and ML teams to lead technical strategy for complex enterprise deals. Run deep discovery, design integrations, build customized demos and end-to-end POCs, write production-quality Python scripts for data pipelines and API integrations, and advise on security, architecture, and multimodal/robotics data workflows while relaying customer feedback to Product and Engineering.

Lead enterprise data governance by defining frameworks, policies, and operating models. Manage data quality, metadata, catalogs, lineage, stewardship, compliance, and MDM. Collaborate with stakeholders, run governance councils, track KPIs, and support analytics, cloud, and AI initiatives.

Design and assure end-to-end defence solution architectures that translate operational mission needs into secure, interoperable, and scalable technical designs. Produce architecture artefacts, data models and integration patterns; define information exchange requirements and non-functional constraints; support experimentation, technical assurance and governance; and guide delivery teams to implement compliant, costed solutions across cloud, container, and heterogeneous defence environments.

Provide expert PostgreSQL support to customer DBA teams: gather diagnostics, troubleshoot production issues, perform live remediation, write knowledge-base content, host webinars, and contribute to the open-source community. Participate in monitoring, backup/restore, HA, zero-downtime procedures, and occasional travel for meetings or customer visits.

Full‑cycle enterprise hunter owning EMEA territory: generate 3–5x pipeline, run complex multi‑threaded deals across finance and engineering, build TCO/ROI cases, champion POCs, close $100k+ ACV enterprise accounts, and partner with product and founders to capture lighthouse logos and enable expansion.

Lead technical design and architecture of a SaaS platform, own and develop the tech stack, build responsive front-end features, implement microservices and APIs, resolve performance issues, champion best practices, mentor junior developers, and shape development processes as the team scales.