Top AWS Jobs in London

As a Lead Software Engineer at Anima, you will enhance existing products and develop new ones focused on healthcare technology. You will work with various technologies, join customer calls, and potentially transition into a managerial role while impacting patient care.

Guide customers through deployment, integration, and adoption of SSE/SASE security solutions (SWG, CASB, ZTNA, DLP). Configure policies, perform migrations, run pilots/UAT, provide technical training and troubleshooting, monitor adoption, recommend optimizations, and collaborate with Success, Sales, and Product teams.

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.

Design, build, and maintain production-grade ML systems for revenue management. Own end-to-end ML lifecycle: data pipelines, model deployment, monitoring, testing, and scaling. Collaborate with product and engineering to define SLIs/SLOs, optimize pricing strategies, and mentor cross-functional teams to ensure reliable, high-quality ML-driven features.

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.

Customer-facing Solution Architect for EMEA Field Engineering. Provide deep technical expertise in SSE/SASE, cloud and data security; build demos, PoCs, and solution playbooks; collect product feedback; and design and run EMEA technical enablement programmes, workshops, and events to empower SEs and engage customers.

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.

Lead design and operation of multi-region AWS systems for reliability at scale. Define SLOs/SLIs, run incident management and postmortems, build automation, improve observability, run chaos engineering, and refine on-call processes.

Enterprise quota-carrying seller responsible for territory planning, new logo hunting, inbound conversion, and account expansion. Sell Data & AI services and Database Managed Services, lead discovery and solution conversations, co-sell with hyperscaler/OEM partners, manage end-to-end enterprise deals, and coordinate internal delivery, solutions, legal, and finance teams. Maintain accurate Salesforce pipeline and forecast, present proposals and RFP responses, and travel as required for client and partner engagements.

Build and maintain full-stack software using Java or Kotlin and Spring Boot, REST APIs, databases, and modern front-end technologies. Write automated tests, use Git and CI/CD pipelines, participate in code reviews, and work in an agile team. Must be eligible for UK security clearance and right to work in the UK.

Design, build and deploy production-grade machine learning systems and infrastructure. Create reusable, scalable ML solutions, guide architecture and technical scoping, collaborate with cross-functional teams, and advise clients on ML feasibility, security, and best practices.

Lead design, development and deployment of production-grade ML systems. Architect scalable ML infrastructure, implement best practices, advise clients, mentor engineers, and collaborate cross-functionally to deliver responsible AI solutions.

Design, build, and deploy production-grade ML systems and reusable infrastructure. Collaborate with cross-functional teams, lead technical scoping and architecture, define deployment standards, and advise clients on ML feasibility and delivery.

Build self-service developer tooling and platform infrastructure to support high-traffic distributed systems. Lead platform engineering for AWS/EKS with IaC (Terraform), drive reliability and observability (metrics, logs, tracing), implement privacy-sensitive infrastructure, and establish sustainable on-call and business continuity practices while collaborating across product teams.

Build and operate MLOps platform components: pipelines, model registries, deployment, monitoring, drift detection, and retraining. Collaborate with Data Science and Data Engineering to establish reproducible, scalable ML lifecycles, governance, and CI/CD for production ML services, and mentor junior engineers.

Lead technical pre-sales engagements with large, complex customers to design, demonstrate, and drive adoption of the Databricks Lakehouse platform. Develop customer strategies, deliver proofs-of-concept, influence C-level stakeholders, coach account teams, create customer-facing collateral, and represent Databricks across workshops and events. Travel frequently to customer sites and London offices.

Architect and build serverless AWS data ingestion and processing pipelines for real-time marketing and analytics. Develop ETL/ELT routines, integrate APIs/files/ERP/ecommerce/CRM sources, implement storage and query layers, enable monitoring, fault recovery, and performance tuning, support deployments and 3rd-line client support, contribute to data models, and mentor local support specialists.

Design, build, and operate a secure, scalable AWS cloud platform for data, analytics, ML, APIs and web apps. Develop reusable IaC patterns, automate deployments (CI/CD/GitOps), maintain networking and security controls, implement observability, and troubleshoot complex platform issues while collaborating with data and product teams.

Lead the UK Technical Solutions team to advise wealth-management clients across EMEA. Drive discovery engagements, design scalable cloud-based SaaS solutions, guide implementation and integrations, partner with product and engineering, and develop technical managers to ensure consistent, high-quality consulting outcomes and successful delivery.

Lead architecture and build scalable, high-throughput payment systems; mentor engineers; drive technical vision, cross-team delivery, and quality through testing, observability, and CI/CD. Define AI-native engineering practices and optimize performance for global fintech workloads.

Leads technical direction and delivery of scalable, secure software projects. Designs and implements solutions, collaborates with product stakeholders, drives coding standards and engineering excellence, mentors and supports engineers, contributes to hiring, influences technology adoption, and owns product and feature deployment and ongoing support.

Manage delivery teams designing and delivering low-code solutions. Collaborate with customer architects on functional and non-functional designs, estimate effort, advise on technical complexity, and lead intelligent automation projects from architecture through requirements and product planning. Coach and develop team members, establish technical policies and standards, mentor colleagues, and make effective decisions in fast-moving delivery environments using Microsoft Power Platform, Dynamics 365, AWS, and Azure.

Lead teams delivering secure, scalable Dynamics 365 CE and Microsoft Power Platform solutions. Own solution architecture, estimation, planning, requirements, technical decisions, development, testing, integrations, and continuous delivery. Build Dataverse and model-driven applications, CE modules, C# plug-ins, PCF components, JavaScript customizations, and Power Automate workflows. Coach team members, manage performance, collaborate with customers, and balance user needs with commercial constraints.

The Software Engineer (Python) role involves developing and maintaining an AI platform, building scalable APIs, and collaborating with cross-functional teams to enhance AI workflows for financial firms.

As a Software Engineer, you'll design and build backend systems, develop APIs and microservices, and ensure system reliability while collaborating with cross-functional teams.