Top AWS Jobs in London

Lead hands-on delivery of production data platforms on Databricks or Snowflake, build reliable ingestion pipelines and data models, mentor junior engineers, integrate LLM/AI where appropriate, ensure production reliability and compliance, and support pre-sales technical sizing and proposals.

The Technical Lead Manager will manage a team of developers, oversee project management, develop features, ensure code quality, and maintain documentation.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

The Cloud Infrastructure Engineer will design scalable cloud infrastructure, manage multi-cloud environments, and ensure system availability while collaborating with development teams and optimizing CI/CD processes.

Design, implement, and operate secure, scalable multi-cloud infrastructure (Azure/AWS) with IaC (Terraform), managed Kubernetes, containers, and AI platform support. Lead complex projects, define operational processes, ensure security/compliance, mentor teammates, and maintain observability for production systems.

As a Lead DevOps Engineer, you will build and deploy cloud-based infrastructure, automate deployments, and lead a team in delivering secure environments for data analytics using various technologies.

Lead EMEA sales strategy and a regional team to sell cross-portfolio scientific and manufacturing SaaS solutions (ELN, LIMS, MES, PLM, analytics, AI). Drive territory and named-account coverage, pipeline generation, complex multinational negotiations, partner/channel engagement, and cross-functional collaboration to win and expand large enterprise deals.

Lead and deliver technically complex backend and full-stack projects, simplify architecture, mentor engineers, use AI-assisted tooling, and partner with product and design to build reliable, high-impact solutions.

Own availability, performance, scalability and observability of mission-critical platform services. Build automation and tooling, participate in on-call rotations, lead incident response and postmortems, collaborate with product teams, and follow FinOps best practices to improve platform reliability and cost-efficiency.

Design, secure and standardise OT network architecture for global BESS projects. Act as design authority, produce technical specifications, lead transformation, govern MSPs, ensure IT/OT segmentation and CNI compliance, and support project delivery and operational escalation.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

Design, build, and maintain large-scale data pipelines and distributed systems to ingest, process, and serve petabytes of vehicle data. Collaborate with ML and CV teams, mentor junior engineers, define long-term product strategy, and ensure robust, testable infrastructure using cloud and orchestration tools.

Lead enterprise territory sales to acquire new logos and expand accounts. Manage complex, multi-stakeholder deals, engage C‑level buyers, build business cases for Cohesity's AI-powered data security platform, partner with sales engineers and channel partners, and maintain accurate pipeline and forecasting in Salesforce.

The Enterprise Architect will lead architectural governance, drive AI adoption, shape technology strategy, and mentor teams to transform the technology landscape in the financial services sector.

Build and optimise scalable, serverless data pipelines and storage on GCP. Implement ETL, CI/CD and DataOps practices, support model productionisation with data scientists, document architectures, and guide migration toward event-driven managed cloud services.

Develop and maintain scalable backend and frontend systems for revolving credit products. Design and implement features, fix bugs, write automated tests, follow coding standards, document technical solutions, and collaborate with product teams to deliver high-quality web platforms with automation in mind.

Design, build, test, and operate scalable identity and authorization services for a global fintech platform. Lead architecture and code reviews, participate across the SDLC, maintain CI/CD best practices, and collaborate with cross-functional teams to deliver secure IAM and FGAC solutions.

Lead technical direction across platform squads, ship and operate critical platform services, improve CI/CD and delivery workflows, drive reliability (SLOs, observability, runbooks), remediate production issues, mentor engineers, and participate in on-call and incident response to raise platform quality and developer experience.

Design and build a centralized observability platform for satellite and deep-space networks. Implement metrics, logging, and tracing (Prometheus, Loki, Tempo/OpenTelemetry), define SLOs/SLIs/error budgets, automate deployments with IaC and GitOps, integrate observability into Kubernetes and cloud environments, support engineers with instrumentation and tooling, lead monitoring/alerting/incident response, and participate in on-call rotations.

Serve as the technical bridge between physical-layer communications and software orchestration: build and maintain Spacetime system models, write production adapter layers (Python/Go), design data schemas (Protobuf/JSON/gRPC), perform link-budget and propagation analyses, lead tier‑3 triage for live networks, and collaborate with product and engineering to convert integrations into reusable features.

Contract Databricks Engineer to design and deliver cloud data lakehouse solutions (AWS/Azure), lead and mentor data engineers, run hands-on development (SQL/Python/PySpark), drive migrations and medallion architecture implementations, engage clients, shape technical strategy and support delivery and pre-sales.

Owner of strategic CPG accounts: co-develop business plans, lead teams and partners to identify high-value big data and AI use cases, drive adoption on the Databricks platform, orchestrate professional services/training, and engage executives to exceed usage and booking goals.

The Curriculum Manager - Cloud will oversee content development for cloud education, collaborating with experts and using AI tools to enhance course creation and engagement.

As a Curriculum Manager for Cloud, you will develop cloud education content, collaborate with experts, assess course performance, and leverage AI tools to improve quality.

As a Curriculum Manager, you'll create and manage cloud education content, collaborating with experts, utilizing AI tools, and addressing curriculum gaps.