Top AWS Jobs in London

Build and operate globally distributed data-transfer infrastructure for video, LiDAR, and sensor data at petabyte-per-day scale. Design parallelized pipelines using Flyte, Kafka, Azure, Python, and Terraform; implement reliability, observability, integrity checks, backfills, dashboards, alerting, and cloud-to-cloud networking. Collaborate with product and external partner teams, support evolving requirements, and participate in an out-of-hours on-call rotation.

Recruit, onboard, enable, and scale revenue-generating reseller, systems integrator, and hyperscaler partnerships across EMEA. Drive partner-sourced and partner-influenced pipeline and revenue through joint planning, co-selling, cloud marketplaces, and full sales-cycle support. Maintain Salesforce pipeline forecasts, deliver partner training and demonstrations, collaborate cross-functionally, and support partner marketing initiatives. Travel up to 50% across EMEA and work flexibly across time zones.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Lead the design, implementation, maintenance, scalability, reliability, and security of Kubernetes infrastructure and cloud platforms. Provide technical leadership, mentorship, team management, and Kubernetes authority while overseeing Agile delivery, secure landing zones, shared platform services, backlog delivery, cloud cost optimization, risk and compliance, disaster recovery, and high-availability architecture. Collaborate with application, DevOps, systems, and product teams to improve infrastructure and delivery practices.

Triage, investigate, and remediate security alerts using EDR and forensic artifacts. Perform tactical malware analysis, investigate Microsoft M365 activity, assist escalations, contribute to detection engineering, and work on projects to improve SOC outcomes while mentoring and collaborating with teammates.

Work on platform engineering to build, automate and maintain cloud infrastructure and platform components; support operational excellence through on-call rotations, incident management, CI/CD, monitoring, and BAU; collaborate with engineering and data teams to design secure, scalable systems and reduce operational toil.

Design, maintain, and scale backend services and APIs connecting Phantom Cash to blockchains. Build reliable event-driven systems with REST APIs, distributed-system patterns, retries, idempotency, and data consistency. Collaborate across teams, document decisions, mentor engineers, and improve engineering standards. The role also involves blockchain integrations, operational ownership, observability, and delivering dependable financial products in a remote crypto environment.

Lead architectural and technical decisions for shared data-platform capabilities, combining hands-on software engineering with Staff-level technical leadership. Build scalable cloud-native systems and data pipelines, mentor engineers, collaborate with product and cross-functional stakeholders, integrate partner systems, and support live operations and incident response. The role focuses on reliable processing of large volumes of sensitive health and research data while improving engineering practices across multiple teams.

Develop Workday Extend applications for new SaaS products, contributing to technical design, proof-of-concepts, customer-focused roadmaps, and user feedback. The role involves AWS, AI, REST, and SOAP technologies within an agile product team. The developer will collaborate with customers and colleagues, support junior team members, uphold quality and security standards, and help establish a Workday Extend community of practice.

Resolve complex customer architecture, performance, recovery, security, and operational challenges for a developer-focused software platform. Advocate for customer needs with product and engineering teams, develop diagnostic and benchmarking tools, improve automation and deployment playbooks, and collaborate cross-functionally on scalable processes and dashboards.

Lead Starling’s post-quantum cryptography strategy and cryptographic agility roadmap. Design secure cloud-native and on-premise architectures across AWS and GCP, provide expertise in PKI, HSMs, KMS, key management, and transport security, and conduct threat modeling and risk assessments. Review architecture documents, guide engineering teams, develop proofs of concept, establish cryptographic standards, and communicate security risks and recommendations to technical and senior stakeholders.

Lead development of Java-based risk-engine components supporting margin calculations, quantitative models, market and trade data integration, and production-scale execution. Own delivery across the SDLC, including testing, controlled releases, performance, resilience, auditability, and operational support. Provide technical leadership on risk calculation orchestration and platform architecture while collaborating with infrastructure, security, and DevOps teams in a regulated financial-services environment.

Supports and maintains AWS and secure on-premise environments, including L3 production support, 24/7 on-call rotations, infrastructure automation, CI/CD pipelines, observability, databases, identity services, Kafka, incident management, and secure data replication. Works under senior guidance while contributing to deployments, change governance, technical debt reduction, testing, and continual service improvement.

Own and evolve AWS and secure on-premise platforms, leading L3 production support, on-call incident response, infrastructure maintenance, automation, observability, CI/CD, security compliance, and service improvement. Build and manage Kafka, databases, identity, caching, replication, and secure data-flow services. Drive technical debt reduction and governance, support deployments and change management, align platforms with product roadmaps, and mentor junior and mid-level engineers.

Lead the design, development, and optimization of scalable backend services in Python and Rust. Architect distributed systems, improve reliability through monitoring and alerting, enforce testing and CI/CD best practices, and contribute to backend architecture decisions. Collaborate with product and engineering teams on complex projects, mentor engineers, and ensure the performance and stability of critical platform services.

Design, build, and operate internal developer platforms and production-ready infrastructure. Manage Kubernetes clusters, IaC (Terraform/Pulumi/CDK), CI/CD pipelines, secrets management (Vault), and SRE/security practices. Support AI/ML platform needs (GPU scheduling, model serving, MLOps, vector DBs) and lead client-facing technical discovery, documentation, and coaching.

Lead hands-on AWS application development and platform adoption: design guardrails, tooling, and developer practices; coach teams, run proofs-of-concept, and drive enterprise migration and uptake across engineering, platform, and security stakeholders.

Design, build, and deploy intelligent AI agents for e-commerce and logistics. Develop agent architectures using ML, NLP, reinforcement learning, and multi-agent techniques; integrate with JD systems; run experiments, monitor performance, and collaborate with cross-functional teams to deliver scalable, production-ready solutions.

Lead ownership of ML models and infrastructure lifecycle: develop, deploy, monitor, and improve ML systems. Build CI/CD for software and ML workflows, automate orchestration and environment management, ensure scalability, reliability, observability, and security, troubleshoot production issues, and document operational procedures while collaborating with engineers, data scientists, and product teams.

Own quality for the humanoid software platform: test the operator console, inference infrastructure, and backend services. Design and implement automated CI/CD test suites, run contract/integration/performance validations, define quality metrics and strategy, and document tests and processes.

Design, build, and support treasury applications for securities lending, repo trading, FX hedging, and collateral management. Collaborate with Treasury, Portfolio Managers, and global teams to deliver microservices on AWS with Docker/Kubernetes, provide level 3 support, improve firmwide frameworks, and mentor junior engineers within an Agile environment.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design decisions, implements data pipelines, integrates ML/AI models, collaborates cross-functionally, delivers technical projects, embeds with customer teams, and contributes reusable assets to scale impact.

Lead an infrastructure engineering team to design, deploy, and operate scalable, secure production environments for AI-driven applications. Define roadmap, maintain SLAs/SLOs, build CI/CD and IaC pipelines, manage on-prem and cloud Kubernetes deployments, improve developer tooling, and drive incident response and monitoring best practices while mentoring engineers.

Design, build, and operate foundational, multi-cloud platform systems. Own platform strategy, make build vs. buy decisions, write design docs and code, ensure reliability at scale, document decisions and run architectural forums, and improve operational maturity for enterprise-grade SaaS platform services.

Maintain and improve AWS infrastructure supporting Charlotte Tilbury’s e-commerce platform. Build self-service infrastructure provisioning, shared Terraform modules, CI/CD tooling, and developer experience improvements. Ensure cloud systems are secure, scalable, reliable, performant, and cost-efficient. Participate in observability, SRE practices, incident response, and production support while collaborating with cross-functional engineering squads.