Top AWS Jobs in London

Own day-to-day engineering delivery for a live SaaS product, ensuring committed work ships on time and meets quality standards. Lead a team of five to ten engineers, manage capacity, estimation, technical risk, production operations, code quality, releases, hiring, and performance. Work closely with the Product Owner, Delivery Manager, CTO, and CEO. Remain hands-on, writing code in the Next.js, React, TypeScript, Laravel, and PHP stack while modernizing a legacy CodeIgniter platform on AWS.

Build and maintain backend services, APIs, data layers, and frontend features for a multi-tenant cash forecasting SaaS platform. Work with Ruby on Rails, React, PostgreSQL, Docker, AWS, and RSpec while improving scalability, observability, performance, and data integrity. Collaborate with product, design, and engineering teams, contribute to technical decisions and code reviews, automate tooling and migrations, and participate in an on-call rotation.

Build and maintain backend services and APIs supporting disputes, returns, refunds, auto-cancellation, and AI-driven customer support. Develop integrations with order, payment, shipping, and support systems; design reliable, secure, event-driven solutions; and own monitoring, on-call, testing, deployments, and technical debt. Collaborate with Product, Design, Data Science, Payments, Shipping, and CX Operations while running experiments and feature-flagged releases to improve customer issue resolution.

Lead the development and technical direction of high-volume streaming and batch data pipelines for PlayStation game analytics. Responsibilities include building resilient pipeline services, integrating data collection and BI tools, improving data quality, lineage and observability, supporting existing tooling, collaborating with DevOps and analytics teams, and mentoring colleagues. The role uses Go or Python and AWS data services including S3, Redshift, Kinesis, Firehose, Athena and Glue.

Provides advanced technical and functional support for rostering, scheduling, workforce management, and payroll software. Investigates escalated customer issues, diagnoses application and integration problems, performs root cause analysis, prepares escalation reports, and collaborates with Engineering, Product, Cloud Operations, and Customer Success. The role also supports major incidents, contributes to knowledge bases, and helps prepare customers for product releases.

Build and evolve cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments. The role involves developing secure, reproducible deployment pipelines, expanding platform observability, debugging customer and internal deployment issues, responding to incidents, conducting root cause analysis, shaping product roadmaps, and leading architecture reviews and end-to-end infrastructure projects.

Leads cloud platform strategy, engineering managers, and a team of 15+ Cloud, DevOps, and AI Platform Engineers. Owns multi-cloud infrastructure, developer tooling, CI/CD, AI platforms, cloud security, reliability, FinOps, vendor relationships, budgets, and technology roadmaps. Drives self-service platforms, developer experience, platform transformation, operational excellence, and inclusive engineering culture across E.ON UK.

Build and operate scalable, resilient platform infrastructure supporting multiple development teams. Responsibilities include managing Terraform and AWS environments, optimizing GitHub Actions and Jenkins CI/CD pipelines, maintaining Kubernetes or ECS/EKS deployments, implementing observability and automation, designing infrastructure services, and participating in incident response and on-call rotations.

Build and evolve cloud-agnostic deployment and observability infrastructure across AWS, Azure, GCP, OCI, and on-premises environments. The role involves developing secure, reproducible deployment pipelines, improving platform observability, debugging production issues, responding to incidents, conducting root cause analysis, shaping the roadmap, leading architecture reviews, and owning infrastructure projects end to end.

Build and ship full-stack software for European localisation and fiscal compliance. Develop C#/.NET backend services, APIs, and Angular interfaces; create extensible regional compliance patterns; lead third-party fiscal and certification integrations; monitor production systems with SRE; triage compliance alerts; and contribute through code reviews, pairing, and collaborative requirement breakdown.

Leads enterprise and solution architecture for complex, cross-enterprise initiatives. Develops architecture principles, reference architectures, roadmaps, standards, and designs spanning cloud, applications, data, integration, infrastructure, identity, security, and emerging technologies. Partners with business and technical stakeholders, oversees design governance, resolves complex trade-offs, supports modernization, and mentors architects while providing performance feedback.

Design, build, and maintain scalable AWS infrastructure and developer tooling. Enable teams to own systems, support CI/CD, observability, containers, on-call/incident management, and collaborate with SRE/security to ensure resilient, secure services.

Develop and deliver full-stack or backend software across the complete development lifecycle. Responsibilities include hands-on Python programming, system integrations, solution design, workflow planning, process optimization, quality assurance, unit testing, and implementing customer requirements. The role involves working with AWS, databases, React or TypeScript, Terraform, and agile delivery practices while collaborating closely with the team and supporting major IT solutions.

Develop and deliver full-lifecycle software solutions for clients, including front-end and back-end development, integrations, workflow planning, process optimization, quality assurance, solution design, and implementation of customer requirements. The role involves hands-on Python and AWS development, collaboration with team members, database and testing work, agile delivery, and occasional travel to UK client sites.

Build and lead scalable data engineering solutions supporting machine learning, analytics, pricing, forecasting, customer value, marketing, and personalization initiatives. The role involves developing Python, Spark, Databricks, and cloud-based data pipelines; designing data architectures and models; improving data quality and observability; operationalizing machine learning models; optimizing performance and costs; and mentoring engineers while partnering with technical and business stakeholders.

Provides technical leadership for the Media Solutions engineering team, setting engineering standards, architecture patterns, delivery practices, quality controls, and technical risk management. Leads and mentors engineers while designing and building web products with C#, .NET Core, TypeScript, React, APIs, cloud infrastructure, and headless CMS platforms. Oversees CI/CD, observability, performance, security, scalability, and infrastructure as code, collaborating with Product, UX, Strategy, and DevOps teams.

Develop backend and full-stack products for digital journalism, using Scala, TypeScript, and AWS. Collaborate in a cross-functional team to design, build, test, and release features; contribute to product and technical decisions; promote engineering best practices; and support tools for journalists, content distribution, and commercial operations.

Lead the quality engineering strategy for complex, data-intensive financial applications. Build enterprise automation frameworks, oversee UI, API, database, integration, and end-to-end testing, and integrate quality gates into CI/CD pipelines. Drive AI-assisted testing, data validation, cloud-native testing, governance, KPIs, and continuous improvement. Provide technical leadership, coaching, and cross-functional coordination while ensuring application reliability, testability, and release readiness.

Build and deploy production AI agents that automate electronics manufacturing, factory operations, supplier workflows, finance, and software development. Responsibilities include identifying manual processes, developing end-to-end automation, improving agent infrastructure, creating evaluations, ensuring reliability and idempotency, and collaborating with factory and business teams. The role emphasizes strong software engineering, LLM production experience, classical computer vision and optimization, secure sandboxing, and measurable accuracy and cost improvements.

Own and modernize Xeneta’s end-to-end data architecture, including Snowflake and dbt models, data pipelines, governance, metadata, lineage, and quality automation. Improve data discoverability and reliability for engineers, analysts, data scientists, and AI agents. Establish scalable standards, automate access and onboarding processes, and educate teams on AI-enabled data workflows.

Build and operate AWS infrastructure using infrastructure as code, optimize ECS and Fargate workloads, maintain CI/CD pipelines, and improve monitoring, reliability, security, backups, and disaster recovery. The role includes incident response, automation, runbook creation, compliance support, and collaboration with engineering, support, and security teams. The engineer will use Go, Terraform or Pulumi, GitHub Actions, Linux, containers, and observability tooling while independently prioritizing and communicating technical work.

Design, develop, and maintain scalable full-stack applications using C#, TypeScript, and React. Build microservices and APIs, implement CI/CD and automated testing, optimize performance and security, troubleshoot production issues, contribute to architecture, mentor junior engineers, and work in Agile teams using cloud and container technologies.

Supports the full software development lifecycle through front-end, back-end, and integration development; workflow planning; process optimization; quality assurance; unit testing; solution analysis and design; and implementation of customer requirements. The role involves coding with Python or .NET, working with databases and cloud platforms, collaborating with delivery teams, applying agile practices, and traveling to UK client sites when required.

Lead DevOps engineering across large-scale client projects, establishing environments, infrastructure, deployment pipelines, monitoring, and Infrastructure as Code. Mentor junior and mid-level engineers, promote DevOps best practices, and collaborate with operations, delivery teams, stakeholders, and multiple clients. The role requires expertise in Terraform, CI/CD, system administration, scripting, configuration management, cloud platforms, containers, databases, and monitoring.

Develop and manage data pipelines for decision-making and data science applications. Apply strong data quality, flow, and organization practices while coding in Python and SQL. Use Snowflake, Azure Databricks, cloud platforms, associated data services, AI-enabled data practices, and DataOps concepts. Collaborate with clients and multidisciplinary teams, communicate clearly, solve complex problems, and share knowledge.