Top AWS Jobs in London

The Senior Software Engineer will design and maintain backend services, enhance CI/CD systems, and develop scalable AWS infrastructure, while contributing to architectural decisions and ensuring system security and observability.

Lead and execute a portfolio of IT internal audits end-to-end, challenge risk, governance and controls, and deliver insight to senior stakeholders. Coach managers and junior staff, identify cross-cutting themes, and ensure timely escalation of emerging issues. Cover Operational Resilience, Cyber Security, IT Operations, Data Governance, outsourced processes and cloud platforms (Azure/AWS). Drive modern audit techniques including AI adoption.

Lead architecture and hands-on delivery of a greenfield desktop trading platform. Design high-performance, latency-sensitive, event-driven systems, ensure crash containment and least-privilege boundaries, integrate desktop/web UIs, apply AI-assisted development discipline, mentor engineers, work through governance, and coordinate across trading, compliance, infrastructure and offshore partners to deliver production solutions.

Design, develop, and maintain scalable full-stack applications using C#, TypeScript, and React. Build microservices and APIs, implement CI/CD and automated testing, optimize performance and security, troubleshoot production issues, contribute to architecture, mentor junior engineers, and work in Agile teams using cloud and container technologies.

Define and deliver the architectural vision for the Agile Release Train. Translate architecture into Epics/Features/Stories, support DevOps and CI/CD, manage NFRs, collaborate with feature teams, maintain architecture documentation, and provide technical leadership and mentoring to ensure scalable, secure platform solutions.

Own and prioritise the product backlog for Credit Technology, translate strategy into actionable user stories, support Agile teams, engage front-office stakeholders, coordinate cross-team delivery, drive Agile ceremonies, validate increments through UAT, and balance short-term delivery with platform modernisation to ensure measurable business outcomes.

Lead front-office production support for a trading platform: act as primary escalation for complex incidents, mentor junior engineers, drive automation and cloud migration, manage client migrations and customisations, troubleshoot FIX, databases, networking and OMS integrations, and improve operational processes and incident management.

Design, develop, and maintain high-performance, latency-sensitive back-end systems and APIs for trading. Lead architecture, own delivery lifecycle, mentor engineers, drive POCs and improvements, collaborate with traders/quants, and implement observability, CI/CD, and cloud-native patterns.

Lead a small engineering team to convert business prototypes into secure, scalable production services for broker desks. Own end-to-end delivery including deployment, monitoring, incident management, support, and continuous improvement while building stakeholder trust and ensuring governance and security compliance.

Lead day-to-day operation, regulatory compliance, and migration of global trader voice and recording systems. Provide 24x7 3rd-line support, manage incidents, vendor escalations, monitoring, documentation, and transition infrastructure to cloud while integrating AI/automation for voice workflows.

Build rapid prototypes and proof-of-concept applications using ML models, generative AI tools, API integrations, and cloud deployment pipelines to demonstrate emerging technology potential for betting and gaming.

Design, build, and maintain cloud-native backend services for index data processing. Write production-ready Python, deploy and operate services on AWS, use Infrastructure as Code, and monitor/debug systems with observability tools like Prometheus and Loki. Collaborate with product, research, and engineering teams.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Serve as the primary technical advisor for strategic GPU cloud customers: troubleshoot complex AI/ML issues, optimize GPU performance, guide deployments at scale, collaborate with sales and product teams, and translate customer needs into product feedback and solutions.

Lead and operate Humanoid's corporate IT environment: manage endpoints, identity, networking, and cyber defenses (EDR/SIEM/vulnerability management). Oversee device lifecycle, MAM/SSO/MFA, vendor contracts, connectivity for offices/labs, and enforce policies and recovery procedures aligned with ISO27001/SOC2/GDPR. Monitor IT/security health, report risks to IT leadership, and feed improvements into the IT roadmap.

Build scalable, distributed backend services and event-driven systems for AI-driven digital twins. Develop high-throughput, low-latency APIs and microservices in Node.js/TypeScript or Python, orchestrate AI agent systems, and collaborate with product and data science teams while mentoring engineers and shaping technical direction.

Design, scale, and maintain cloud-native MLOps and LLMOps infrastructure. Provision GPU orchestration, optimise compute/network/storage, build CI/CD and MLOps pipelines, deploy LLMs with inference engines, automate with IaC, monitor model/data drift and latency, and manage cloud GPU cost and observability.

Lead a DevOps team to design, build, and operate scalable, secure MLOps/LLMOps infrastructure and CI/CD for GenAI. Manage cloud FinOps, optimize GPU/CPU spend, implement auto-scaling and observability, enforce data governance, and run 24/7 incident response for production LLM deployments.

Design and define end-to-end data architectures and blueprints for complex programmes. Architect ingestion, orchestration, governance, security, cost-optimisation and observability. Lead teams, engage clients to translate business needs into scalable, resilient data platforms, champion best practices, and support technical growth and bid/business development.

Serve as a senior ML technical advisor and pre-sales engineer, designing production-grade ML/GenAI solutions on Databricks. Build MVPs, guide MLOps/LLMOps architectures (including RAG and vector DBs), integrate cloud services, mentor teams, create technical content, and support platform adoption through customer engagements and presentations.

Design, build, and scale internal compute, storage, and networking platform services to ensure reliability and performance. Implement monitoring, alerting, and incident response; collaborate with application engineers to ensure scalable designs; automate infrastructure and improve systems globally while reducing operational toil.

Improve production reliability and resilience through automation, observability, infrastructure as code, incident response, and continual platform improvement. The role involves operating Linux, Kubernetes, and cloud infrastructure; writing tooling; maintaining CI/CD systems; troubleshooting live production environments; participating in on-call rotations and blameless postmortems; and collaborating with globally distributed teams and stakeholders.

Coordinate Sales, Finance, and Legal approvals; resolve Salesforce queues and case-management issues; create private offers in AWS, Azure, and GCP marketplaces; audit SaaS contract documentation; and monitor the sales pipeline to remove bottlenecks and accelerate deal completion.

Lead enterprise Magento Commerce implementations, migrations, upgrades, integrations, performance optimization, scalability improvements, troubleshooting, and custom module development. Build APIs and microservices connecting Magento with ERP, OMS, WMS, CMS, and third-party systems. Support headless commerce architectures using React, Next.js, or Vue.js, while collaborating directly with clients and cross-functional teams.

The Sr. Software Engineer will develop public APIs, build integrations with HRIS, maintain platform services, and enhance code quality using Generative AI tools.