Top AWS Jobs in London

Lead ownership of AWS infrastructure, CI/CD pipelines, deployment processes, observability, automation, and reliability practices supporting autonomous drone operations. Build tooling for reliable software releases and remote fleet updates, improve traceability and incident response, and set technical standards across software, integration, robotics, and operations teams.

Lead Product Engineering efforts to design, automate, and operationalize repeatable AWS/GCP cloud services. Define cloud standards, onboard services, implement IaC/config management, support operations, and act as SME and escalation point.

Build and scale Cast AI’s partner and reseller ecosystem across Northern EMEA, initially focusing on the UK. Develop relationships with resellers, MSPs, and DevOps consultancies; create partner-sourced pipeline; drive revenue impact; and collaborate with sales, solutions engineering, marketing, product, finance, and legal teams. The role requires strong cloud and DevOps partner relationships, a hunter mentality, and experience building ecosystems at digital-native companies or ISVs.

Develop and scale cloud platforms across AWS, Google Cloud, and on-premises environments. Operate infrastructure, improve processes and tooling, apply security-first practices, and collaborate with software teams on a unified video security solution. The role involves infrastructure automation, observability, testing, continuous improvement, and reliable day-two operations.

Design, develop, and maintain scalable full-stack applications using Python and React. Build RESTful APIs, backend services, and third-party integrations; deploy and manage applications on AWS; use AI-assisted coding tools such as Claude Code and Cursor; and ensure performance, security, scalability, and maintainability. Collaborate on architecture, code reviews, CI/CD, testing, troubleshooting, and production optimization.

Lead a hands-on DevOps and platform engineering function for AWS-hosted identity platforms running on EKS and ECS. Develop Terraform modules, Helm charts, Docker images, and GitLab CI/CD pipelines; implement automated, performance, and infrastructure testing; support production services; investigate incidents; and improve observability, security, and reliability. Mentor engineers, review designs and code, lead Agile ceremonies, produce technical documentation, and own services throughout their lifecycle.

Build and modernize high-performance trading and market-data APIs using Java, REST, streaming, and FIX. Own services across architecture, implementation, testing, deployment, and production operations. Improve resilience, latency, throughput, and reliability in real-time distributed systems. Diagnose live client issues using logs, metrics, and traces while collaborating with support, dealing desks, and client-facing teams. Help establish engineering standards and spec-driven, AI-assisted development practices.

Lead design and delivery of production-grade ML and GenAI solutions on the Databricks platform. Architect end-to-end ML pipelines, optimize training/inference, implement MLOps/LLMOps, build MVPs for sales, influence product roadmap, mentor peers, and present technical content externally.

Generate outbound pipeline for the French and francophone markets through account research, personalized email, calls, and LinkedIn outreach. Engage engineering, DevOps, and cloud decision-makers in French and English, partner with account executives on territory strategy, test messaging, maintain CRM hygiene, track performance, and develop market-specific prospecting processes. The role requires strong communication, resilience, organization, and the ability to learn technical cloud, Kubernetes, and AI products quickly.

Develop and maintain automated UI and API testing solutions using Java, Selenium, AWS, and related frameworks. Integrate continuous testing into CI/CD pipelines and validate cloud-based applications. Perform functional, integration, regression, exploratory, and end-to-end testing while collaborating with Agile and DevOps delivery teams. Define test scenarios and acceptance criteria with developers, analysts, and product owners, and improve QA processes, automation frameworks, and testing standards.

Lead the design and operation of IAM technologies, integrating with cloud platforms, supporting audits, and developing a high-performing engineering team.

Designs technical solutions for enterprise sales engagements, leading discovery workshops, architecture and integration design, technical proposals, proof-of-concepts, and implementation handoffs. Advises clients and internal teams on platform capabilities, business outcomes, and product roadmap needs. Requires enterprise SaaS architecture experience, strong communication, and knowledge of energy retail systems such as billing, metering, and settlements. The role is hybrid in London or Bristol with client travel across the UK and Europe.

Lead and grow a team of seven ML and data engineers delivering production machine learning, AI, recommendation, search, commerce, and agentic systems. Own hiring, performance, delivery, technical direction, architecture, MLOps, evaluation, monitoring, responsible AI, and stakeholder communication. Guide reliable data pipelines, model deployment, experimentation, LLM evaluation, and production agent systems using tools such as LangGraph and Amazon Bedrock.

Manages end-to-end financial governance and operating costs for Global Digital and IT. Responsibilities include budget execution, forecasting, purchase and invoice lifecycle management, accruals, financial close activities, cost allocation, cloud spend optimization, dashboards, ROI analysis, audit coordination, CAPA oversight, and contract lifecycle governance. The role partners with Finance, Procurement, vendors, and IT leadership to improve transparency, control, compliance, and value realization.

Designs and delivers Azure cloud and platform capabilities, including landing zones, networking, identity, virtual desktops, compute, storage, security, automation, monitoring, backup, disaster recovery, and migrations. Acts as the technical reference for MSP and supplier teams while operating within established architecture standards. Requires extensive hands-on Azure infrastructure experience, enterprise migration expertise, relevant Microsoft certifications, and familiarity with regulated or critical-infrastructure environments.

Design and deliver secure cloud-native platforms, automation, infrastructure as code, and CI/CD pipelines. Lead technical reviews, guide engineering decisions, support fault fixing and maintenance, mentor engineers, and improve engineering practices. The role requires hands-on experience with AWS, Terraform, CloudFormation, CDK, Kubernetes, Docker, Git, databases, APIs, scripting, and secure production environments, along with active or recently active SC or DV clearance and onsite work up to four days weekly.

Design and deliver secure, scalable cloud-native software for critical public-sector customers. Work hands-on in agile teams, shape architecture and technical direction, establish engineering standards, mentor colleagues, and solve complex customer problems. The role involves modern cloud, container, CI/CD, DevSecOps, and infrastructure-as-code practices, with a strong focus on secure production systems and technical leadership.

Develop secure, scalable software services for critical public sector organisations within an agile delivery team. Responsibilities include researching and prototyping solutions, building and testing software with modern frameworks, participating in code reviews, collaborating with customers and multidisciplinary teams, and continuously improving technical skills and delivery practices. The role uses cloud-native technologies and requires willingness and eligibility to obtain SC and DV security clearance, with on-site work up to four days per week.

Leads software engineering teams developing digital products with Java, Kotlin, Angular, and AWS. Partners with product owners and architects to deliver scalable solutions, establishes engineering best practices, supports business-critical platforms, resolves technical issues, and mentors junior colleagues. The role requires strong software architecture knowledge, automation experience, stakeholder management, structured problem-solving, and leadership across multiple teams.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Designs, develops, and optimizes distributed computing solutions across HPC, Kubernetes, and cloud environments. Builds software in C++, Python, and Go; deploys applications using Kubernetes and HPC/grid technologies; and applies generative AI and observability tooling to improve monitoring and performance. Collaborates with cross-functional teams to deliver secure, scalable compute platforms.

Develop and maintain Odoo ERP modules while building independently deployable Python services that progressively replace ERP capabilities. Design APIs, event schemas, integrations, operational interfaces, automated tests, observability, and documentation. Collaborate with finance, operations, and customer care to translate business processes into reliable software. Work with AWS, containerized deployments, CI/CD, React, relational data models, and AI-assisted coding tools.

Supports IT operations in a regulated banking environment, managing application incidents, changes, monitoring, backups, end-of-day processing, reporting, integrations, upgrades, and supplier relationships. Develops business requirements, functional specifications, test plans, and financial reports while troubleshooting application, database, middleware, infrastructure, and cloud issues. The role also drives automation, monitoring, root-cause remediation, IT controls, and disaster recovery testing.

Guide customers through their Zero Trust journey as the primary post-sales contact. Provide technical guidance, product insights, adoption strategies, and best practices for integrating and operationalizing Zscaler solutions. Manage complex escalations, coordinate internal and external resolutions, identify adoption risks, and develop mitigation plans. Build stakeholder relationships, align customer objectives with business outcomes, and contribute playbooks and best-practice materials to strengthen the Customer Success organization.

Manages Leads across multiple sports data science teams, aligning forecasting model delivery, technical standards, resource planning, hiring, and team development. Partners with engineering and delivery leaders to address capacity, performance, and technical challenges while shaping data science strategy, tooling, and roadmaps. Requires advanced programming, sports modeling or betting expertise, leadership experience, and familiarity with model deployment and cross-functional planning.