Top AWS Jobs in London

Lead the development and support of public cloud platforms focusing on AWS and Azure, ensuring secure, scalable solutions while managing resources and providing BAU support.

The Sales Engineer II will assist the sales team, design technical solutions, and educate customers on Infoblox products while overcoming technical barriers in sales processes.

The Senior Site Reliability Engineer will lead architectural changes, manage Kubernetes platforms, troubleshoot production issues, automate infrastructure, mentor engineers, and enhance AWS services.

Seeking an experienced Staff Engineer to design software solutions, lead architectural decisions, mentor junior engineers, optimize performance, and guide technical strategy.

The Lead Sales Engineer acts as a technical advisor, guiding enterprise customers in modernizing their analytics strategy using AI and cloud solutions. Responsibilities include pre-sales support, delivering demos, advising on best practices, and mentoring junior team members.

The Senior Technical Account Manager serves as the technical lead for customer workloads, providing post-sales support and technical guidance, while driving customer growth and engagement through collaboration with account teams.

As a Senior DevOps Engineer at Scribe, you will design and optimize AWS cloud infrastructure, manage CI/CD pipelines, and support product development while ensuring reliability and performance of services.

Lead global Identity and Access Management strategy and team, oversee IAM architecture, provisioning, SSO/MFA/PAM, vendor selection, integrations across cloud and on-prem, ensure governance, compliance, incident response, and drive Zero Trust and automation initiatives while partnering with executives and engineering teams.

Serve as the primary technical resource for sales: run technical discovery, deliver tailored demos, design and manage POCs, support Account Executives, relay customer feedback to product and engineering, create sales collateral and training, and travel to client sites and events as needed.

Serve as the primary technical resource for Sales to drive technical closure: perform technical discovery, deliver tailored demos and POCs, scope and manage evaluations, support Account Executives, provide customer feedback to Product and Engineering, create sales collateral and training, and travel to client sites and events.

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.

Senior Sales Engineer for Puppet in EMEA driving technical pre-sales: discovery, demos, POCs, workshops, and adoption. Partner with account executives, align solutions to business outcomes, quantify ROI, and champion customers internally. Fluent French required.

Partner with EMEA Marketing to deliver advisory analytics: synthesize data, run ad-hoc investigations, advise on marketing strategy, build an analytics portfolio, and drive insights to maximize conversion, pipeline impact, and business performance.

Design, develop, and maintain Amazon Connect contact center solutions and AWS integrations. Build RESTful APIs, design DynamoDB schemas, implement Python-based Lambda functions, manage infrastructure as code, support event-driven architectures, collaborate with UI teams and Amazon Professional Services, troubleshoot issues, and participate in production support and deployments.

The Senior Database Administrator will manage and optimize MySQL databases for high-performance workloads, ensure security and reliability, and mentor team members.

Lead design and delivery of a greenfield trust accounting backend: build secure, scalable, auditable financial services, enforce quality and observability, collaborate with product/finance/legal, and mentor engineers.

Design, build, and maintain scalable batch and ELT/ETL data pipelines and services. Develop and operate Spark and Airflow workflows, apply software engineering practices, contribute to AWS-based systems, monitor and automate production, collaborate with product and data science teams, and mentor other engineers.

Translate data-science prototypes into production ML pipelines and APIs. Deploy, monitor, retrain, and test models in production. Collaborate with data scientists, engineers and product teams to integrate ML solutions, implement MLOps best practices, and maintain CI/CD for reliable, scalable model delivery.

Early-career backend developer working on high-performance Java services for a programmatic advertising matching engine. Contribute code, tests, and operational support for real-time cloud services, pair with senior engineers, participate in reviews, and learn deployment and observability practices.

Provide technical pre-sales support for mid-market, enterprise, and eCommerce sales: demos, PoCs, RFP/RFI responses, demo environment setup, solution research, and customer engagement while developing expertise in Sectigo’s PKI/CLM solutions.

Design and deliver scalable cloud data pipelines, ETL/ELT and data warehousing solutions. Work hands-on in Snowflake, Databricks and cloud platforms, translate business requirements into technical designs, optimise queries, and engage with stakeholders across client projects and internal initiatives.

Sell Databricks Lakebase (managed Postgres) to UKI customers by driving revenue, running multi-threaded sales cycles, orchestrating POCs, engaging platform and application teams, and enabling field teams to adopt Lakebase for operational and AI-native applications.

The Fullstack Engineer II will work on customer support systems, focusing on access control management, internationalization, and accessibility, using Python and React JS.

Work as a hands-on mid-level full-stack engineer building and shipping features across frontend and backend. Contribute to code quality, reliability, and architecture, collaborate with senior engineers through reviews and pairing, and participate in product and technical planning within a small, growth-focused SaaS team.

Client-facing Enterprise Data Architect designing AI-ready data estates. Assess and modernize data platforms (lakehouse/warehouse), define governance, metadata, semantic models, lineage and data products, advise on platform choices and RAG/vector patterns, and produce target architectures and implementation roadmaps while engaging senior stakeholders.