Top AWS Jobs in London

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Own and evolve EMEIA infrastructure across VM-based and managed container environments. Design and build a Kubernetes-based platform, migrate existing workloads, manage networking, access controls, certificates, cloud infrastructure, RHEL systems, and infrastructure-as-code. Establish deployment and observability practices, troubleshoot incidents, maintain reliability and documentation, and support rapidly developed AI-assisted applications. Collaborate with developers, data teams, analysts, vendors, and global stakeholders.

Design, develop, and optimize enterprise-scale Snowflake data warehouses, pipelines, models, queries, and workflows. Build ingestion and transformation processes with Python, PySpark, Airflow, and AWS. Ensure data quality, governance, security, compliance, performance, and cost efficiency. Automate deployment and monitoring through CI/CD and DevOps practices, troubleshoot production issues, and collaborate with stakeholders and engineering teams. Provide technical leadership, lead discussions, and mentor engineers.

Owns architectural decisions for an enterprise API Marketplace platform. Leads architects, shapes strategic roadmaps, aligns technology with business priorities, and influences stakeholders and vendors. Designs GCP-based cloud-native and hybrid solutions, enterprise REST API ecosystems, API management platforms, and secure, scalable integrations. Establishes standards for resilience, performance, security, sustainability, and governance while supporting innovation in areas such as GenAI, microservices, event-driven architecture, and developer self-service.

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.

As a Lead Platform Engineer at Kainos, you'll lead teams to design and manage digital service platforms, mentor colleagues, and ensure successful project outcomes using modern technologies.

As a Senior Platform Engineer, you'll design and support digital service platforms, ensuring quality, scalability, and security while collaborating with teams to improve services.

Develop and test Generative AI and LLM applications in Python, including RAG systems, prompt workflows, AI agents, and API integrations. Evaluate model performance, reliability, accuracy, and responsible AI considerations while collaborating with engineering, data science, and product teams. Contribute to documentation and Git-based development, learn emerging AI technologies, and help deliver production-ready solutions.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

Leads Arctic Wolf’s Incident Response practice, managing and developing DFIR professionals while overseeing complex investigations, ransomware and cyber extortion incidents, forensic analysis, recovery, customer engagements, and service delivery. The role establishes operational standards, metrics, quality assurance, staffing processes, and continuous improvements. It also serves as a senior technical escalation resource, communicates with executives, legal counsel, and insurers, supports strategic growth, and participates in on-call rotations.

Build and maintain secure CI/CD pipelines, infrastructure-as-code, cloud and blockchain security monitoring, container security controls, dashboards, secrets and key management, and secure configuration baselines. Partner with development teams to remediate security findings and improve infrastructure security. The role requires strong backend coding skills in Golang, Rust, or C++, cloud security expertise, containerization, CI/CD, infrastructure as code, and network security knowledge.

Manage Trayport’s information security governance, risk, and compliance program across the UK and EU. Responsibilities include maintaining ISO 27001 certification, policies, standards, risk assessments, audits, reporting, security awareness training, third-party risk, and regulatory compliance. The manager will lead the Risk & Compliance team, advise executives, collaborate cross-functionally, and represent security requirements in enterprise governance forums.

Manage and evolve AWS and secure on-premise platforms, provide L3 production support and 24/7 on-call coverage, maintain CI/CD pipelines, and build infrastructure across Kafka, databases, identity, caching, and replication services. Improve automation, observability, testing, security compliance, and service resilience while supporting deployments and ITIL-aligned incident, problem, and change management in secure government environments.

Infrastructure Engineers will join a newly formed infrastructure engineering team. Responsibilities require production experience with AWS or configuration management tools, scripting in Go, PHP, Bash, or Python, and running Docker in production.

Secure products and cloud infrastructure through threat modeling, security reviews, vulnerability management, detection and response, secure cloud and Kubernetes baselines, policy-as-code, automation, and software supply-chain controls. Partner with engineering and operations teams to implement secure-by-design solutions and influence the product roadmap.

Lead data migration strategies and implementation across hybrid cloud environments, design data pipelines, and optimize scalable systems while collaborating on AI projects.

Design and build reliable systems, manage technical projects, write high-quality Python code, and collaborate with researchers to deliver functional software solutions.

As a Full Stack Engineer, you will handle the full development lifecycle, engage with stakeholders, and promote best practices in engineering.

The Solution Architect will design scalable and secure solutions, manage stakeholders, and lead technical teams while ensuring alignment with client needs and governance standards.

As the Head of Machine Learning Engineering, you will define the ML strategy, lead teams, deliver scalable solutions, and shape AI governance for enhanced customer travel experiences.

Design and deliver product experiences for legal teams, build features, influence architecture, and foster collaborative practices.

The AI Engineer designs and deploys production-grade AI systems using LLMs, collaborates with clients to understand complex problems, and improves AI application workflows and architectures.

Operate and support EG's systems infrastructure: day-to-day Linux server administration, end-user systems support, scripting/automation, and public cloud (AWS) management. Contribute to design, implementation, and projects using configuration management, infrastructure-as-code, and containerized workloads, with opportunities to lead larger infrastructure projects over time.