Top AWS Jobs in London

Lead the design and delivery of scalable data platform and infrastructure features. Shape architecture, drive engineering excellence, collaborate with Product and Design, own delivery from conception to post-deployment, and mentor engineers in a CI/CD environment.

Lead architecture and build a new CRM/campaigns area from conception to post-deployment. Work full-stack (backend-focused), evolve engineering practices for scale, collaborate with Product and Design, and deliver large-scale, user-facing features using modern web and backend technologies.

Join the Growth engineering team to build and own features from UI to database that increase ARR. Run rapid experiments, iterate on product and activation metrics, collaborate with Product and Design, evolve architecture for scale, and deliver in a CI/CD environment using full-stack skills.

Lead technical development of infrastructure-facing product features across frontend to database. Evolve architecture, drive engineering excellence, own features end-to-end, and collaborate with Product and Design in a high-scale SaaS environment.

Lead and grow a data platform engineering team to design, build, and operate mondayDB 3.0. Own end-to-end feature delivery, influence architecture and engineering practices, collaborate with Product and Design, and drive scalability, resilience, and observability for massively increased data capacity.

Build and scale a next-generation data platform (mondayDB 3.0). Design architecture, implement backend-heavy full-stack features, collaborate with product and design, ensure CI/CD delivery, and improve performance and engineering practices for large-scale, user-facing systems.

Lead the design and delivery of AI-based solutions for enterprise customers, ensuring successful integration and optimization across multiple projects, while mentoring junior engineers.

As a Senior Platform Engineer, you'll design, build, and manage a scalable and secure cloud-based database platform, focusing on YugabyteDB, and ensure operational excellence through automation and collaboration with various teams.

The Payments Data Analyst will manage the payments data lifecycle, delivering insights to enhance performance, support commercial decisions, and facilitate partnerships across teams while ensuring data quality and accessibility through analytics tools.

As a Senior DevSecOps Engineer, you will integrate security into CI/CD processes, design security tooling, implement policy-as-code, and champion secure engineering practices.

As a Principal Engineer for the Discovery team at Lansweeper, you'll design high-performance software components, develop network scanning protocols, and create secure integrations with partner technologies while driving engineering excellence.

Lead projects using cloud technologies for business solutions, ensuring timely delivery, client satisfaction, and mentoring team members while leveraging advanced analytics and technology platforms.

As a Customer Solutions Specialist, you will guide customers in deploying Silverfort's identity security solutions, working with cross-functional teams to ensure successful outcomes, and provide training and product expertise.

Develop and maintain scalable cloud ecosystems using Golang and Python, enhancing backend microservices and collaborating within a fast-paced team.

The Senior Enterprise Account Executive role focuses on driving new business acquisition and revenue growth by formulating and executing sales strategies in a defined territory, building relationships with CTOs and technical leaders, and working with solution architects and partners.

The Lead Data Engineer will design and oversee data pipelines and platforms, ensuring reliability, scalability, and governance while collaborating with various stakeholders.

As a Staff Software Engineer, lead the design and implementation of secure, large-scale software solutions while mentoring junior engineers and driving consensus in complex technical challenges.

Manage and monitor technology risks and controls across platform engineering, information security, and data. Execute risk assessments, technical audits, KRI development, GRC tool oversight, risk reporting, stakeholder engagement, and continuous improvement of risk processes and frameworks.

Design, build, and operate highly scalable real-time streaming microservices and data pipelines (Java/Python/Go) using Kafka, Flink/Spark on Kubernetes across multi-cloud and on-prem. Own design, deployment, monitoring, observability, and on-call support while improving platform reliability and developer experience.

Design, architect, and develop scalable Go-based microservices and REST APIs for threat detection, case management, and incident response. Lead system design, own technical initiatives, mentor engineers, integrate AI/LLM capabilities, operate cloud-native services on Docker/Kubernetes and cloud platforms, participate in on-call rotation, and drive reliability and architectural improvements.

Lead and grow a Database Reliability Engineering team, coach and mentor engineers, contribute hands-on as a senior engineer, collaborate with cross-functional partners, drive platform automation and cloud infrastructure (AWS/GCP), ensure database scalability, high availability and security, own vendor negotiations, and foster operational excellence.

As an Enterprise Solutions Engineer, you will support enterprise customers by delivering technical expertise, leading discovery sessions, and collaborating with sales and product teams to enhance API strategies.

Design and develop technology solutions in partnership with global teams, addressing challenges in cancer care through innovative software engineering practices.

Partner with Customer Success Managers to architect and implement scalable technical solutions for enterprise customers. Perform deep technical discovery, build reusable collateral (scripts, templates, reference implementations), design pragmatic workarounds or integrations, and feed product feedback to inform roadmap decisions.

Embed with customers to discover high-impact AI opportunities, design LLM-based and RAG solutions, collaborate with engineers to build and iterate production-ready intelligent workflows, codify reusable patterns, drive stakeholder alignment, and enable scale through documentation and technical enablement.