Top AWS Jobs in London

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

Build and operate high-throughput backend services for financial crime detection across WorldRemit and Sendwave. Responsibilities include developing alerting, screening, risk-rating, and agentic AI investigation workflows; integrating third-party compliance platforms; improving observability, reliability, and auditability; collaborating with compliance teams; reviewing designs and code; and participating in on-call production support. The role requires strong Java and Spring expertise, event-driven systems experience, and familiarity with cloud and infrastructure tooling.

Leads software engineering for JPMorganChase’s wholesale credit risk technology team. Responsibilities include developing and reviewing secure Python code, guiding technical teams, designing scalable cloud-native systems, and establishing enterprise governance for AI-assisted engineering. The role sets toolchain architecture, CI/CD quality gates, automation standards, responsible AI controls, and validation requirements while serving as a firmwide software development lifecycle subject matter expert.

Build end-to-end data applications, APIs, internal tools, and user interfaces using AI-assisted development. Work across Python backends, React frontends, data models, Databricks, dbt, pipelines, cloud infrastructure, testing, security, and performance. Review AI-generated code, establish guardrails, improve engineering workflows, and help shape application architecture and technical direction.

Run and expand low-latency infrastructure across global colocation data centers and AWS. Responsibilities include routing and switching, BGP peering, cross-connects, Linux hosts, containers, infrastructure as code, monitoring, alerting, capacity planning, troubleshooting, documentation, incident reviews, and launching new sites. The role includes project coordination, vendor management, occasional data-center visits, scheduled out-of-hours changes, and on-call participation.

Provides hands-on technical consulting for enterprise observability implementations. Partners with customers on onboarding, architecture, migrations, workflow recommendations, training, requirements gathering, workshops, and project execution. Designs scalable solutions using Grafana and related observability technologies, including Kubernetes, metrics, logs, traces, and cloud platforms. Acts as a functional lead and trusted technical advisor while collaborating with Sales, Product, Engineering, Support, and Professional Services teams to improve customer outcomes and product offerings.

Leads technical pre-sales for Genesys Expert Apps, translating customer requirements into architectures spanning Genesys Cloud, APIs, enterprise applications, data, cloud infrastructure, and AI. Designs demonstrations, prototypes, and proofs of concept; investigates integrations and technical feasibility; identifies AI and automation opportunities; partners with Product and Engineering; and creates reusable technical enablement and sales collateral.

Leads and scales a data engineering team of 8+ engineers, owning data strategy, platform modernization, architecture, reliability, and engineering standards. Partners with product, analytics, and commercial teams to deliver scalable, secure, high-quality data solutions. Responsibilities include coaching, mentoring, roadmap ownership, stakeholder management, performance measurement, and representing data engineering with senior leadership. The role requires technical credibility across cloud platforms, data warehouses, orchestration, modeling, pipelines, infrastructure as code, and CI/CD.

Build, maintain, and operate Linux-based infrastructure at scale. Collaborate with development and DevOps teams to deploy applications, develop automation tooling, manage CI/CD pipelines, support in-house and third-party systems, troubleshoot production issues, monitor services with Grafana and Prometheus, document processes, and participate in on-call incident response.

Designs, delivers, supports, and improves production infrastructure for a regulated financial services business. Owns medium-sized infrastructure changes and projects, troubleshoots complex issues, produces technical documentation, and supports resilience, security, monitoring, capacity, and maintainability. The role also involves incident resolution, change governance, supplier coordination, and coaching less experienced engineers while collaborating across Technology Services.

Lead systems engineering initiatives across InfoSec and IT, focusing on automation, systems integration, Infrastructure-as-Code, cloud security, compliance controls, and secure AWS infrastructure. Build CI/CD pipelines, manage identity and security tooling, support GRC and audit activities, document operational processes, and mentor engineers. Partner with technical and business stakeholders to deliver scalable, secure improvements across enterprise and product environments.

Architect, build, and own AWS infrastructure supporting highly available SaaS products. Drive cloud migrations, automation, scalability, security, observability, and reliability improvements while partnering with developers and cross-functional teams. Participate in weekly on-call rotations, lead root cause analysis, and eliminate recurring operational issues. The role requires hands-on experience with AWS, infrastructure as code, CI/CD, configuration management, monitoring, GitOps, and multiple programming and scripting languages.

Build full-stack growth and marketing tools, including attribution systems, landing pages, signup flows, experimentation infrastructure, automations, and internal agents. Partner with marketing, design, data, partnerships, and support to identify opportunities, measure performance from acquisition through revenue, and ship reusable tools that accelerate growth.

Build production machine-learning features that transform raw AI usage data into customer-facing insights. Own classification, clustering, data pipelines, model deployment, evaluation frameworks, ground-truth datasets, error analysis, uncertainty quantification, and production reliability. Collaborate with customers, product, engineering, and security teams to shape insight experiences. Work primarily in Python across a polyglot Java, Spring Boot, and TypeScript stack deployed on AWS.

Senior Solutions Architect in MongoDB’s pre-sales organization, guiding enterprise customers in designing scalable, reliable applications and distributed systems using MongoDB and cloud technologies. Responsibilities include architecture reviews, technical discovery, demonstrations, proofs of value, sizing, documentation, account planning, demand generation, and customer success. The role partners closely with sales teams, advises technical and business stakeholders, mentors colleagues, and travels up to 25%.

Integrate security into software delivery and infrastructure workflows across AWS and GCP. Build security scanning into CI/CD pipelines, maintain secure build and deployment guardrails, protect containerized workloads, implement least-privilege access and secrets management, and support SC TRM and BNM RMiT compliance. The role also improves vulnerability monitoring, incident readiness, artifact integrity, and secure delivery practices while partnering with engineering teams using multiple programming languages.

Owns cloud and application security across AWS and Azure, focusing on vulnerability remediation, secure infrastructure as code, CI/CD security controls, threat response, and policy enforcement. The role integrates scanning and security tooling, maintains IAM and cloud security configurations, supports threat modeling, automates remediation, and collaborates with SOC, cyber defense, and engineering teams to improve security posture and compliance.

Design and implement secure cloud infrastructure using infrastructure as code, automation, CI/CD pipelines, monitoring, and security controls. Build scalable AWS solutions with Terraform, CloudFormation, and AWS CDK; automate provisioning, configuration, compliance, cost management, and operational tasks. Integrate application and infrastructure security testing, container scanning, observability, and secret management while troubleshooting cloud issues programmatically.

Design, build, and own backend systems for blockchain and staking infrastructure. Implement APIs, Ethereum data pipelines, indexers, validator integrations, and operational tooling. Lead architecture, testing, deployment, observability, mentor engineers, and drive engineering standards and AI-assisted workflows.

Build and operate a scalable evaluation framework for computer-use agents and AI models. Responsibilities include benchmark integration, orchestration, scheduling, observability, reproducible trials, distributed systems operation, API and external-service integrations, customer collaboration, and framework standards. The role requires production backend development in Python, Kubernetes and public-cloud experience, database and messaging knowledge, and end-to-end system ownership.

Build and own Ohme’s scalable analytics platform, including Snowflake, dbt data models, semantic layers, data quality, observability, security, and cost optimization. Develop reliable, documented analytics assets, establish engineering standards, support analysts and business users, and use AI tooling to improve team efficiency. The role requires strong SQL, dimensional modeling, stakeholder communication, and ownership of warehouse reliability and performance.

Owns the architecture, development, and scaling of data products, backend data services, ingestion engines, APIs, and infrastructure on AWS and Snowflake. Collaborates with engineering and data teams, automates infrastructure using AWS CDK, optimizes reliability and latency, and ensures data quality through testing and validation. The role applies a product mindset to customer-facing and internal data services within an EV charging and smart energy platform.

Lead the organization’s AI governance and assurance framework, embedding Responsible AI, risk management, compliance, and controls throughout the AI lifecycle. Assess generative and agentic AI systems for fairness, explainability, robustness, security, and regulatory alignment. Conduct risk assessments, DPIAs, supplier reviews, and assurance activities while monitoring emerging regulations. Partner with Product, Engineering, Risk, and Compliance teams; develop policies, training, standards, and governance practices that promote safe, transparent, and accountable AI adoption.

Design, build, deploy, and optimize production AI systems, including LLM integrations, RAG pipelines, embeddings, vector search, predictive models, and inference systems. Collaborate with product and engineering teams to translate business needs into scalable solutions for recommendations, risk scoring, forecasting, and workflow automation. Own data pipelines, monitoring, evaluation, security, privacy, documentation, and continuous model improvement across cloud environments.

Lead attack surface and vulnerability management activities, including CNAPP assessments, cloud configuration reviews, threat intelligence analysis, vulnerability prioritization, and urgent cyber defense response. Partner with developers and application custodians to improve CI/CD security, automate workflows with scripting and AI, establish CIS-aligned security baselines, assess third-party exposure, and develop security documentation, policies, and standards.