Top AWS Jobs in London

Lead SRE responsible for driving reliability practices, designing resilient systems, conducting resiliency reviews, leading incident response, mentoring engineers, improving observability and CI/CD, and adopting validated AI-assisted reliability workflows across the SDLC.

Design, build, test, and maintain backend services and REST APIs (Java/Kotlin, Spring Boot) on AWS. Work on payment orchestration and card pay-in systems, PostgreSQL databases, and Kafka event-driven processing. Ensure performance, scalability, security, automated testing, code reviews, and participate in on-call rotations while collaborating cross-functionally.

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.

The Senior Application Security Engineer will design and improve Secure SDLC, integrate security practices, and lead application security reviews across multiple platforms while ensuring fast delivery of secure products.

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.

Conduct market microstructure research and develop quantitative models for equity algorithmic execution. Analyze large trading datasets, backtest methodologies, run A/B experiments, build analytics and data pipelines, validate production models, and collaborate with technology and client teams to industrialize research and produce client-facing materials.

Provide pre-sales technical leadership by designing scalable, highly available systems using MongoDB. Advise customers on architecture, run demos/POVs, partner with sales for account strategy, generate demand, mentor team members, and drive customer success. Travel up to 25% and continually develop product and cloud expertise.

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 scale Monte Carlo's partner ecosystem across EMEA by recruiting, enabling, and managing cloud, SI, and consultancy partners; build joint GTM plays; drive partner-sourced pipeline and co-marketing; run field events; and cultivate executive relationships to expand market presence and accelerate revenue.

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.

Design, prototype, implement and optimize predictive models for sporting outcomes. Collaborate in an agile, multidisciplinary team, apply probability and machine learning methods, deploy models, and mentor junior colleagues.

Lead and manage a team of data scientists to design, build and deploy predictive sports models. Oversee algorithm development (probability, Monte Carlo, ML), mentor staff, collaborate with engineers and product managers, and ensure continuous delivery and high-performance, production-ready model implementations across multiple sports.

Maintain and improve reliability, scalability, and automation for user-facing production systems. Build infrastructure tooling, operate Kubernetes-based services, write IaC, participate in on-call and incident response, and advance observability and runbooks to reduce toil and improve platform reliability.

Lead and shape technical direction by designing secure, scalable distributed systems, refactoring monoliths, improving test-driven development and CI/CD, mentoring engineers, leading incident responses, and promoting engineering standards and quality practices to deliver reliable software at scale.

Lead the architecture and development of backend services and APIs for e-commerce platforms, ensuring scalability and security while collaborating across teams.

Serve as the technical lead for enterprise customers on Fireworks' inference platform: manage onboarding, deployment, SSO/security, performance benchmarking, troubleshooting, and escalations; advise on model selection, fine-tuning, prompt engineering, and cost/latency optimization; run QBRs, drive adoption, identify expansion, and feed customer insights into product roadmaps.

Core full-stack engineer responsible for assessing requirements, delivering front-end and back-end features, writing testable code and automation, deploying software, contributing to architecture, and QA, debugging and documenting code.

Design, operate, and scale highly available distributed systems for telemetry ingestion. Automate reliability, participate in on-call incident management, evaluate resilience and DR, collaborate with app teams, and use AI tooling to reduce toil.

Design, build, and maintain scalable ETL/data pipelines and storage to support analytics and ML across international markets. Ensure data quality, compliance (e.g., GDPR), monitoring, and automation. Collaborate with data scientists, product teams, and stakeholders to deliver reliable datasets and contribute to the data infrastructure roadmap. Onsite in London.

Lead SRE responsible for reliability across customer-facing systems using SLOs/SLIs/error budgets. Own incident command and on-call, drive automation (Terraform, CI/CD), transition from ECS to EKS, optimise capacity and performance for high-concurrency events, implement observability (Splunk, CloudWatch, Grafana, Quantum Metric), prioritise SRE backlog, and mentor teams while reporting reliability metrics to leadership.

Lead technology strategy and delivery for EV systems: manage software engineering team, drive Ampeco migration, define architecture and governance, secure and scale AWS cloud platforms, implement CI/automated testing, oversee OCPP/CPMS/API integrations, and enable AI-driven insights while aligning technology to business goals.

Design, develop, and optimize enterprise access network architectures (LAN/Wi‑Fi) across campuses, data centers and manufacturing. Provide technical leadership for network transformation, integrate access technologies with cloud, WAN, SASE and Zero Trust, define standards/policies, assess emerging tech (SD‑WAN, WiFi 8, campus fabric), oversee implementations, optimize performance and ensure disaster recovery readiness, and manage vendor relationships.

Run and improve production platform reliability by building automation, monitoring, and CI/CD tooling; troubleshoot distributed systems; provide primary operational support; participate in capacity planning, incident response, and postmortems to balance feature velocity with service-level objectives.

Build rapid prototypes and automation tools to remove operational bottlenecks across the MFG team. Design improved workflows, develop POCs and internal products, integrate with platform APIs (Google Ads, DV360, CM360, BigQuery), deploy solutions on GCP, and create diagnostic/tracking systems while enabling teams and championing automation best practices.

Design and implement privacy-first full-stack systems to keep user location data inaccessible. Work across React/TypeScript frontends and Node.js or Go backends, collaborate with product and design, and deliver well-tested production features.