Top AWS Jobs in London

Lead technical discovery, solution demonstrations, proofs of concept, product trials, and technical sales activities for SonicWall cybersecurity solutions. Build trusted relationships with channel partners, support managed service sales, maintain demonstration labs, provide product expertise, contribute to beta testing and technical marketing, and share product updates and best practices. The role requires strong cybersecurity, networking, cloud, presentation, solution-selling, and partner-enablement experience.

Design, build, and deploy scalable AI architectures, pipelines, LLM integrations, RAG systems, and multi-agent workflows. Operationalize generative AI and NLP solutions in production, collaborate with data engineers on infrastructure and vector databases, and champion AI-assisted coding practices. Provide technical consulting to clients, mentor teams, and advise on AI product development, modern data stacks, synthetic data, and explainable AI.

Leads the global engineering and reliability organization responsible for CI/CD, infrastructure provisioning, Oracle database engineering, observability, security, performance, and cost. Owns technical strategy, platform modernization, SRE practices, cloud transformation, governance, vendor relationships, budgets, and regulatory compliance. Builds and develops a distributed leadership team of 40+ engineers while ensuring highly available, secure, and cost-effective platforms.

Build and support a full-stack energy trading platform covering physical commodities, derivatives, nominations, positions, and risk. Collaborate directly with traders and business users to translate requirements into production features, extend support for new markets and products, maintain the platform, and contribute to technical direction and code quality.

Own AI product bets end to end, from customer discovery and data analysis through prototyping and production delivery. Build agentic workflows, harness improvements, integrations, backend systems, evaluation frameworks, instrumentation, and quality metrics. Collaborate with customers, go-to-market teams, founders, and platform engineering while making evidence-based product decisions. Requires strong backend and full-stack skills, production LLM experience, and comfort operating in an ambiguous early-stage startup environment.

Design, provision, and operate reliable shared infrastructure across AWS, GCP, Azure, and on-premises environments. Manage Kubernetes clusters, multi-tenancy, secrets, GPU workloads, networking, service meshes, and infrastructure as code using Terraform and Crossplane. Develop operators, establish reliability targets, respond to incidents, and partner with security and platform teams on governance and compliance.

Develop scalable Python software and reusable components for a cloud-native investment platform. Build AWS and Azure solutions, including serverless services, data workflows, and analytics capabilities. Collaborate with investment, product, data, and operations teams to translate business needs into secure, maintainable products. Apply Agile, DevSecOps, CI/CD, testing, and code review practices, while coaching junior engineers and contributing to agentic development workflows.

Serve as a technical sales resource for UK commercial accounts, building customer relationships and guiding opportunities through technical and business validation. Lead presentations, demonstrations, workshops, technical Q&A sessions, proof-of-concepts, and solution integrations. Partner with sales managers to identify customer needs, demonstrate Splunk value, support buying decisions, and maintain opportunity updates in Salesforce. Required knowledge includes operating systems, networking, cloud infrastructure, and IT architecture.

Lead the design, automation, security, and operation of Catapult’s global cloud and hybrid infrastructure. Own AWS platform engineering, Terraform or Ansible IaC, CI/CD pipelines, observability, reliability, compliance, and AppSec integration. Define the platform architecture roadmap, establish reusable engineering standards, and influence engineering, security, and finance stakeholders while delivering scalable, secure infrastructure for sports performance data and video services.

Leads end-to-end solution architecture across complex client engagements, transformation programs, and strategic opportunities. Shapes solutions from discovery and pre-sales through design, delivery, governance, and transition to service. Develops secure, scalable, resilient, commercially viable architectures spanning cloud, infrastructure, applications, data, AI, cybersecurity, networking, integration, and DevOps. Advises senior stakeholders, manages architectural risks, supports bids and proposals, assures delivery, develops reusable patterns, and coaches other architects.

Build and launch scalable data pipelines, products, APIs, and tools for proprietary market research. Develop big data processing systems, reusable software components, AI-ready data assets, cloud infrastructure, and governance controls. Partner with investment professionals, researchers, data scientists, and Compliance to deliver reliable, auditable, compliant solutions while optimizing system performance, cost, and reliability.

Lead data architecture and cloud transformation engagements for financial services clients. Define enterprise data strategy, design scalable cloud-native data platforms, integrate governance, cataloguing, privacy and metadata capabilities, and present technical solutions to stakeholders while shaping Capco's data architecture offerings.

Lead design and delivery of production-grade AI/ML solutions for Market Operations. Manage a team of data scientists and partner with engineering and business stakeholders to build, deploy, monitor, and govern models, establish best practices, and drive measurable operational impact.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.

Build and optimize high-performance Elixir/Phoenix backend systems with PostgreSQL at scale. Design efficient schemas, queries, indexes, batching strategies, migrations, and concurrency patterns. Diagnose database bottlenecks, support large document volumes, and improve reliability across cloud and self-hosted deployments. Contribute to AI-assisted engineering workflows, platform architecture, tooling, and customer success while collaborating with a remote-first team.

Own the UK&I SMB and startup segment, generating pipeline and closing new business through full sales cycles. Build territory plans, prospect outbound and via partners, engage founders and technical leaders, run evaluations with Solutions Engineering, negotiate agreements, forecast accurately in Salesforce, and identify expansion opportunities. The role requires high-volume pipeline management, quota attainment, cloud or cybersecurity sales knowledge, and disciplined qualification.

Own Primer's internal developer platform: CI/CD, deployment workflows, self-service and ephemeral environments. Build AI-enabled developer tooling and measure developer productivity. Operate production systems on-call, set platform standards, and mentor other engineers.

Own cloud access, identity management, and infrastructure-as-code for shared client infrastructure. Manage AWS IAM, Identity Center, Organizations, Terraform, Kubernetes, CI/CD, observability, governance, and careful change management. Support dependent engineering teams, maintain reliability and testing standards, and use scripting and emerging AI tools where valuable. This is a three-month remote EU-based B2B contract with potential extension.

Founding full-stack engineer responsible for building and owning the platform’s frontend, backend, APIs, integrations, and cloud architecture. The role involves making technical decisions, developing secure and scalable Python services, collaborating with founders on the product roadmap, and delivering rapidly in an ambiguous early-stage startup environment. This is the company’s first engineering hire, with potential progression to VP of Engineering.

Operate and monitor production and cloud environments across Azure, AWS, and VMware. Respond to alerts, troubleshoot incidents, support Kubernetes and containerized workloads, automate deployments and infrastructure, and improve observability, reliability, and operational efficiency. Participate in on-call rotations, contribute to root cause analysis and preventative actions, maintain runbooks, and collaborate with SRE, Platform, Development, Support, and Services teams.

Senior Business Analyst responsible for eliciting and translating requirements for a government Generative AI platform. The role covers process mapping, gap analysis, user stories, acceptance criteria, AI guardrails, human-in-the-loop workflows, evaluation criteria, stakeholder facilitation, governance compliance, and documentation. The analyst will work across legacy systems, multi-cloud integrations, engineering, product, policy, and government stakeholders in a secure, regulated environment.

Lead the architecture, development, performance, release process, and roadmap for SimpleStudy’s consumer iOS app. Mentor existing mobile engineers, establish technical direction, deliver polished native experiences, run experimentation and analytics, manage App Store operations, and collaborate with engineering and product leadership. The role involves Swift, SwiftUI, UIKit, testing, performance optimization, crash monitoring, and potential mobile team expansion.

Lead the architecture and evolution of a Snowflake-based operational data platform. Design secure, governed, scalable data warehouse solutions, real-time ingestion, API integrations, AI-enabled capabilities, and natural-language querying interfaces. Define data flows, schemas, roadmaps, architectural standards, and governance while collaborating with engineering, data, business, and executive stakeholders. Troubleshoot complex platform issues, guide technical direction, and promote modern data engineering practices across enterprise systems.

Lead technical pre-sales activities including discovery, demonstrations, solution design, proof-of-concepts, deal sizing, RFPs, and technical evaluations. Translate observability challenges into solutions involving logging, metrics, tracing, alerting, cloud infrastructure, Kubernetes, OpenTelemetry, and CI/CD. Partner closely with account executives, customers, and product teams while addressing technical issues during evaluations. The role requires strong communication, stakeholder management, cloud-native expertise, and the ability to build internal tooling.

Build and scale a distributed platform supporting engineering simulations, agentic applications, and physical AI workflows. Responsibilities include designing distributed architecture, developing production Python services, optimizing distributed compute, implementing workflow orchestration, and contributing to CI/CD, testing, deployment, observability, reliability, and incident response. The role also involves mentoring engineers, making technical decisions, collaborating cross-functionally, interviewing candidates, and supporting end-to-end platform operations.