Top AWS Jobs in London

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.

As a Software Engineer Intern, you will develop data applications, refactor code, automate workflows on AWS, and collaborate with teams to enhance functionality.

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.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

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.

Develop automated tests and genomic data analysis pipelines to validate code deployments, detect errors, and ensure the accuracy and integrity of clinical-grade sequencing workflows. Collaborate with software engineers and variant curators to improve bioinformatics processes and prevent production issues. The role combines bioinformatics expertise, large-scale genomic data analysis, software quality engineering, and test automation in a fully remote genomic health platform.

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.

Lead the engineering team responsible for Testlio’s core platform capabilities. Set technical direction, own delivery and roadmap execution, modernize legacy systems, and build production agentic workflows using AI. Contribute hands-on through coding, architecture, reviews, production support, reliability improvements, and observability. Partner with product and AI/ML teams while mentoring engineers, improving development standards, and reducing technical debt.

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.

Build and maintain Paloma's cloud-native full‑stack EPR and AI‑powered patient pathway. Write clean C#/TypeScript code, develop React single‑page interfaces, integrate REST APIs, deploy containerised apps on AWS/GCP, design event‑driven systems, manage cloud SQL databases, automate user journeys, participate in code reviews, and explore AI/agent applications for process automation and assistance.

Serves as the primary technical advisor for strategic enterprise customers, guiding platform optimization, architecture, integrations, security, reliability, and feature adoption. Conducts technical health reviews, identifies risks, troubleshoots complex integration issues, develops technical success plans, and delivers training and workshops. Acts as the technical liaison between customers and internal product, engineering, and support teams while advising on compliance, authentication, data protection, and scalable cloud architectures.

Leads data engineering teams building scalable, governed data products and platforms. Responsibilities include overseeing architecture, ingestion pipelines, orchestration, governance, security, access control, performance optimization, and Bronze/Silver/Gold data layers. The role manages delivery of analytics-ready datasets at very large scale, coaches engineers, and partners with analytics, business, and customer stakeholders to produce actionable operational and financial insights.

Lead design and implementation of data governance and MDM strategies, develop policies and metadata/lineage practices, enforce data quality, deploy governance tooling, engage stakeholders, ensure regulatory compliance, and mentor team members.

The Lead Software Engineer will oversee development in abuse and fraud prevention, lead teams, design systems, and ensure high-quality outcomes.

CircuitHub seeks a Haskell Engineer to work on robotics, manufacturing systems, and optimize various engineering challenges while expanding the company’s capabilities.

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.

Lead delivery and iteration for Core Services by translating strategy into prioritized backlogs, working embedded with engineering to ship incremental platform capabilities (IAM, APIs, integrations), conduct frequent customer validation, measure outcomes, and ensure reliability, security, and operational readiness.

Manage cross-functional projects from planning through execution for the PMO, defining scope and timelines, coordinating global teams and vendors, tracking budgets and risks, improving operations, and reporting outcomes to stakeholders.

Lead enterprise sales for AI solutions in financial services: generate pipeline, own full sales cycle using MEDDIC, hit quota, build C-suite relationships, coordinate scoping with AI engineering, manage proposals/RFPs, contracts, and CRM while leveraging AI tools to scale outreach.

Lead global R&D to define technical strategy and roadmaps, prioritize AI-driven modernization, manage engineering and test teams, oversee AI/ML model validation in regulated clinical environments, own R&D budgeting and vendor partnerships, ensure regulatory compliance, and drive operational excellence and ethical AI adoption to improve clinical trial outcomes.

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.

The Senior Technical Architect will lead the architectural strategy for a global SaaS platform, mentor engineers, and integrate AI capabilities, while collaborating with Product and Engineering teams.

As a Senior Enterprise Systems Engineer, you will lead projects, improve systems, support SaaS tools, and advocate for automation to enhance employee productivity.