Top AWS Jobs in London

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

The Ruby Engineer will focus on web scraping and browser automation, fix code issues promptly, support customers, and enhance search engine integrations.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.

Looking for a senior Ruby on Rails engineer to own complex projects and improve the product's technical direction, requiring extensive experience and a high standard of coding.

Lead design and implementation of high-performance agent runtimes, backend services, and self-hosted model/agent infrastructure. Build low-latency execution systems, real-time data pipelines, telemetry loops, CI/CD for zero-downtime deployments, and ensure fleet reliability on AWS/EKS.

Own and improve reliability of deployment and release systems: define SLOs/SLA/error budgets, instrument pre-production, build monitoring and synthetic tests, run on-call and incident response, create runbooks and DR readiness, and automate deploys and observability to reduce MTTD/MTTR.

Lead the architecture of Tide's agentic platform, ensuring reliable, scalable services. Collaborate across teams to design APIs and integration standards, focusing on developer experience and analytics.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

Senior backend engineer role building scalable, resilient Go-based backend services and APIs for cloud environments (AWS/Azure/GCP). Work with containers, Docker, Kubernetes, TDD, and performance optimisation while collaborating with client teams in a remote-first consultancy.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The Sr. Software Engineer will design, develop, and maintain public APIs and integrations, ensuring high scalability and performance while improving code quality using AI tools.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

Lead the architecture and scalability of a Node.js-based cloud platform, manage a team of engineers, and drive development velocity while ensuring system portability across cloud providers.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

As a Senior or Staff Software Engineer focused on SRE, you will optimize performance, manage infrastructure with code, drive observability, and collaborate with teams to enhance system reliability and efficiency.

This role invites speculative applications for various tech positions. Candidates with skills in Salesforce, DevOps, AWS, and user experience are encouraged to apply.

The Solution Engineer collaborates with teams to strategize and execute technical sales cycles, delivers presentations, oversees technical sales processes, and advises customers on observability market best practices.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

Lead architecture and strategic evolution of hybrid infrastructure platforms (VCF, storage, VDI, backup, hybrid cloud). Define reference architectures, automation and observability standards, guide major programmes and migrations, troubleshoot complex incidents, and mentor infrastructure engineers to ensure secure, resilient, and operationally supportable platforms.

Sell Databricks Lakebase (fully-managed Postgres) to platform, application, and data teams across MEA. Drive revenue by qualifying opportunities, running POCs, leading multi-stakeholder sales cycles, positioning Lakebase for operational/AI-native apps, and enabling account teams and partners to scale adoption.

Lead architecture and development teams to deliver end-to-end solutions for complex clients, drive business development, build senior stakeholder relationships, shape architectural strategy across application, business and integration domains, and coach team members while launching new service propositions.

Lead planning and delivery of complex, multi-team engineering programmes. Set milestones, coordinate cross-functional teams, communicate priorities across the company, drive outcomes, improve processes and tooling, and ensure quality and reliability within a modern microservice-based stack.