Top AWS Jobs in London

Leads software development teams and complex client solutions, shapes engineering strategies, builds senior stakeholder relationships, supports business development, develops service propositions, provides thought leadership, and coaches consultants. The role advises major clients on strategic and technology challenges while contributing to innovative offerings and business growth. Hybrid work requires at least two days weekly in an office or client site, potentially increasing to five days on-site.

Design, develop, test, debug, and document embedded software, firmware, and low-level drivers for resource-constrained and real-time environments. Collaborate with clients, project teams, and project managers on requirements, technical recommendations, planning, and delivery. Contribute to presentations, pitches, company strategy, and complex technical problem-solving while maintaining secure, high-quality engineering practices.

Build, optimize, and maintain secure batch and streaming data pipelines using Snowflake and cloud platforms. Develop data models, support ingestion and transformation, apply governance and security practices, and collaborate with architects, engineers, analysts, and clients. The role also involves performance tuning, data solution delivery, technical leadership, mentoring engineers, and contributing reusable assets and best practices to the data engineering practice.

Designs and delivers scalable modern big data platforms, including streaming, data lake, and lakehouse architectures. Advises senior client stakeholders on data strategies, cloud-native modernization, governance, analytics, and AI integration. Leads solution design, implementation, transformation initiatives, and technical collaboration across multiple sectors. Contributes thought leadership, reusable assets, and practice growth while aligning data platforms with measurable business outcomes.

Designs and delivers scalable batch and streaming data pipelines using Databricks and Lakehouse architectures. Responsibilities include ETL/ELT development, data modeling, Delta Lake optimization, governance, security, orchestration, and cloud integration. The role is client-facing and involves collaborating with architects, engineers, ML teams, analysts, and senior stakeholders. It also requires mentoring engineers, improving data practices, enabling analytics and AI use cases, and contributing reusable assets and technical leadership.

Designs and implements scalable, secure Snowflake cloud data platforms for enterprise clients. Leads data modernization, migration, architecture strategy, ETL/ELT implementation, governance, security, performance tuning, and analytics enablement. Acts as a trusted advisor to senior stakeholders, connects business objectives with technology execution, guides delivery teams, and contributes to consulting practice growth through thought leadership, reusable assets, and propositions.

Lead the design, development, testing, deployment, and maintenance of scalable promotions and rewards software. Guide engineering teams, make architecture and technical trade-off decisions, troubleshoot production issues, improve operational excellence, conduct code reviews, mentor engineers, and influence engineering best practices. Collaborate with product leaders and stakeholders while participating in planning, documentation, and on-call support. Occasional travel to offices, conferences, events, meetings, and team-building activities is required.

Leads large-scale platform initiatives and provides technical direction, mentorship, and architectural oversight. Designs, develops, and operates highly scalable, reliable distributed data systems at petabyte scale. Builds data platforms, ETL pipelines, file-processing systems, and multi-tenant data engines supporting analytics and machine learning. Optimizes performance, cost, and reliability; strengthens observability, security, code quality, and documentation; troubleshoots complex issues; and collaborates with cross-functional stakeholders.

Build and lead Field’s global indirect procurement function across the UK and Europe. Responsibilities include mapping spend, consolidating suppliers, standardizing procurement processes, leading tenders, negotiating software, services, facilities, and technology contracts, and managing contractual risk and compliance. The role partners extensively with HR, Finance, Legal, IT, Engineering, and Operations while delivering cost savings and supporting international growth.

Lead an AI platform engineering team that builds cloud-native tools and platforms enabling employees to use AI safely and productively. Manage engineers, own technical deliverables and roadmap strategy, conduct design reviews and code reviews, perform hands-on development, measure platform impact, and support career development, recruitment, and engineering-wide initiatives.

Lead the technical direction and delivery of complex AI and software projects. Architect and maintain scalable production systems, define project roadmaps, oversee high-risk delivery, develop shared engineering libraries, and guide architectural decisions. Lead hiring, mentor engineers, advise customers, estimate workstreams, recommend technologies, and coach technical and non-technical stakeholders.

Manage and evolve AWS and secure on-premises environments, providing L3 production support and 24/7 on-call coverage. Build and maintain Kubernetes, Kafka, database, identity, caching, CI/CD, and observability platforms. Automate infrastructure and pipelines, improve testing and service resilience, manage incidents and changes through ServiceNow, address technical debt, and support secure data replication and critical national infrastructure deployments.

Designs enterprise-grade cloud, data, and AI solutions for airline operations. Responsibilities include assessing technology landscapes, identifying modernization and integration opportunities, translating business priorities into technical architectures, creating solution blueprints and documentation, promoting enterprise architecture best practices, and guiding customer teams through transformation initiatives.

Administer the AMOS aviation maintenance platform by managing user access, permissions, configurations, system health, security protocols, support requests, migrations, updates, and deployments. Provide first-line technical support, escalate complex issues, document procedures, maintain knowledge articles, generate reports, and collaborate with technical and operational teams on requirements and continuous improvement.

Designs and maintains scalable RESTful APIs and responsive React interfaces for enterprise financial applications. Works with SQL Server, MongoDB, external APIs, CI/CD pipelines, infrastructure-as-code, and cloud platforms. Responsibilities include secure coding, performance optimization, testing, code reviews, deployment automation, and collaboration with Product and engineering teams. The role may also use AI development tools and integrate AI services.

Own high-impact backend challenges across services and teams, shape architecture, improve performance, resilience, data integrity, observability, and failure handling. Lead technical decisions, resolve systemic problems, mentor engineers, raise review quality, and partner with product and engineering leadership on long-term technical investments. The role remains hands-on and emphasizes distributed systems, relational databases, concurrency, asynchronous communication, and reliable operation at scale.

Own backend services end to end, from requirements and system design through development, testing, deployment, and production operations. Design scalable, resilient, high-performance systems with strong data integrity, diagnose complex production issues, and make sound technical trade-offs. Collaborate with product and engineering teams, review code, share knowledge, and improve engineering standards. The role requires backend microservices experience, protocol expertise, modern framework fluency, deep relational database knowledge, and experience building highly available systems.

Build, deliver, and operate AI-focused DevOps environments across hybrid infrastructure, Azure, and AWS. Develop RAG and data pipelines, MLOps workflows, AI agents, GPU workloads, infrastructure automation, and containerized platforms. Support live, business-critical systems while improving scalability, reliability, observability, and standardization. Collaborate across teams, modernize infrastructure, and implement emerging AI and cloud technologies.

Architect, develop, and operate scalable Java backend services supporting subscription conversion, retention, upsells, and personalized user journeys. Design cloud-native systems, data models, and APIs on Google Cloud Platform; collaborate with product, marketing, growth, and engineering teams; mentor colleagues; and lead complex platform initiatives involving automation, content management, machine learning, and high-volume distributed services.

Lead platform engineering strategy and hands-on delivery across highly available cloud infrastructure, CI/CD, developer tooling, security, observability, and incident management. Establish standards for AI-assisted software development, validate AI-generated code, measure productivity and quality, and influence engineering, product, and quantitative teams. Mentor engineers and drive cross-team initiatives focused on scalability, resilience, compliance, and operational excellence.

Leads platform engineering initiatives across AWS cloud infrastructure, Kubernetes, CI/CD, GitOps, Infrastructure as Code, observability, and developer tooling. The role architects reliable and scalable platforms, improves developer productivity and operational excellence, partners with application teams, leads cross-team technical programs, mentors engineers, and participates in on-call rotations.

Designs and maintains highly available cloud-native infrastructure, CI/CD pipelines, developer tooling, platform security, and observability systems. The role partners with engineering and product teams to deliver scalable solutions, leads incident response, evaluates AI-generated code for security and architectural risks, and mentors engineers. Candidates will use AI coding collaborators, infrastructure-as-code, Java and Python, and modern cloud platforms to improve developer productivity and operational reliability.

Manage, support and enhance global network infrastructure across on-premises, colocation and cloud. Design and build network products, maintain network security (next-gen firewalls), implement BAU changes, develop IaC and SRE-driven network automation, support cloud networking (Azure/AWS), run data centre operations and manage third-party vendors.

Design, implement, and support hybrid multi-tenant private and public cloud platforms. Deliver, automate and orchestrate infrastructure (Windows, virtualization, containers, public cloud), administer Microsoft 365, integrate security/HA/networking, and provide high-quality platform engineering and stakeholder support with strong scripting and IaC practices.

Leads end-to-end enterprise network architecture engagements, serving as design authority and final escalation point for complex routing, switching, data center fabric, WAN, SD-WAN, multicast, QoS, IPv6, and security integration. Chairs architecture governance forums, produces HLD/LLD documentation, leads client workshops and cutovers, supports presales, mentors engineers, and defines standards. Requires CCIE-caliber expertise, 10+ years of experience, multi-vendor Cisco and Juniper or Arista depth, and Python and Ansible automation proficiency.