Top AWS Jobs in Glasgow

Design, develop, and maintain secure, scalable full‑stack applications. Produce architecture and design artifacts, build APIs, analyze large datasets for insights, troubleshoot production systems, use CI/CD and testing tools, and apply enterprise-authorized AI-assisted development while ensuring secure, resilient engineering practices and team collaboration.

Own governance, risk posture, and operational resiliency for wholesale credit risk analytics applications. Manage application records, permit-to-operate, release management, remediation, access controls, recovery readiness, lifecycle upgrades, and automation. Partner with engineering, SRE, cyber, data science, and business stakeholders to ensure secure, compliant, cloud-native delivery and adoption of AI-assisted development practices.

Lead SRE responsible for designing and improving reliability, resiliency, and observability for large-scale hybrid systems. Lead incident response, mentor engineers, design OpenTelemetry pipelines, migrate legacy telemetry to OpenTelemetry, and optimize telemetry ingestion, processing, and export to observability backends.

Lead development and support of a Trade Execution Platform: design, implement, and maintain secure, resilient production code. Drive adoption of enterprise AI-assisted engineering, automate remediation, improve operational stability, and collaborate with cross-functional stakeholders to deliver cloud-native, CI/CD-enabled solutions.

Lead and contribute to full-stack software design, development, and production support. Drive technical evaluations, architecture, AI-assisted engineering practices, automation, and resilient, secure SDLC across teams in financial services.

Lead solution architecture across functional, information, and technical domains for enterprise-scale Securities Services platforms. Design data models, integration, metadata, master data, and migration strategies. Apply AI/ML to architecture practices, ensure conformance to firm standards, participate in governance, evaluate vendors, and promote reuse, security, resiliency, and automation across agile teams.

Design, develop, and maintain secure, high-quality production software. Lead technical evaluations, drive adoption of AI-assisted engineering and SDLC best practices, automate remediation, and mentor engineering communities to improve resiliency and delivery.

Design, develop, test, and maintain core Java services on AWS for a portfolio analytics platform. Build scalable, resilient solutions, automation and AI-assisted tooling, and improve SDLC practices. Collaborate with engineering and product teams to support global investment operations and ensure secure, production-grade systems.

Lead enterprise and hybrid cloud architecture strategy and governance. Define reference architectures, hybrid cloud roadmaps, and guardrails. Guide Nutanix private cloud integration, evaluate Azure/AWS/GCP services, enable self-service platforms, mentor architects and engineers, and support executive decision-making to deliver secure, resilient, and scalable platform solutions.

Seeking a Senior Backend Engineer proficient in Java and Spring Boot to design cloud-native applications, manage CI/CD pipelines, and collaborate in agile teams for financial institutions.

Lead the design of secure, scalable backend systems, mentor teams, and guide technical decisions in a cloud-native environment, primarily using Java and Spring Boot.

Lead an agile team to design, build, test, and operate scalable public cloud foundational services (Atlas). Provide technical guidance, influence product and architecture decisions, mentor engineers, prototype solutions, and drive adoption of firmwide frameworks and best practices for cloud infrastructure.

Lead and drive the Observability Platforms engineering area, delivering cross-domain observability and AIOps solutions. Own technical design, cloud (AWS) implementations, automation-as-code, vendor evaluations, governance, and stakeholder influence while managing and scaling engineering teams for reliability and operational excellence.

Design, develop, and maintain secure, scalable software and data solutions on enterprise-scale finance platforms. Build production-quality Python code, Databricks/AWS data pipelines, visualizations, and audit-ready reporting. Produce architecture artifacts, troubleshoot complex issues, apply CI/CD and resiliency best practices, and responsibly integrate AI-assisted development tools and generative AI concepts to improve code quality and productivity.

Designs, builds, secures, automates, and supports scalable AWS cloud platforms across client environments. Responsibilities include landing zones, multi-account architectures, networking, guardrails, infrastructure as code, DevSecOps, observability, documentation, technical leadership, client collaboration, implementation delivery, troubleshooting, and mentoring junior engineers.

Lead design and delivery of secure, scalable data engineering solutions for a global KYC and risk platform. Mentor engineers, define architecture and standards, drive automation, collaborate with stakeholders, and champion best practices across teams to ensure operational stability and innovation.

Lead technical design, develop and maintain secure, high-quality Java/Python/C++ applications and services. Build full-stack solutions with Spring, Hibernate, Spark, AWS and Databricks; use APIs, microservices, containers, CI/CD, and AI-assisted tools. Analyze large datasets, improve system reliability, mentor peers, and enforce secure, resilient engineering practices across the SDLC.

Lead and deliver full‑stack features for international direct‑to‑consumer products. Collaborate with product, design, and analytics; own operations, metrics, on‑call, code quality, and talent development while driving technical design and execution.

Lead design, develop, test, and maintain Java/J2EE-based applications for client onboarding and KYC. Collaborate cross-functionally, apply Agile and CI/CD practices, improve code quality via reviews/testing, adopt enterprise AI-assisted engineering tools, and produce technical documentation.

Lead and troubleshoot cloud infrastructure for enterprise-scale AWS workloads. Architect and implement infrastructure changes, drive projects, support 24/7 follow-the-sun operations, partner with product teams to remediate issues, and apply automation, observability, and responsible AI-assisted development practices.

Lead Site Reliability Engineer responsible for improving reliability, scalability, observability, and resiliency across AWS platforms and applications. Designs monitoring and alerting frameworks, establishes SLIs, SLOs, and error budgets, leads major-incident response, conducts resiliency reviews, and resolves production bottlenecks. The role also drives CI/CD quality automation, containerized operations, AI-assisted incident workflows, security controls, knowledge sharing, and adoption of cloud, infrastructure-as-code, chaos engineering, and distributed tracing practices.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Own and operate AWS cloud infrastructure, develop Infrastructure as Code with Terraform, maintain Kubernetes and ArgoCD environments, build reliable CI/CD pipelines, monitor system performance, troubleshoot incidents, and collaborate with architecture and delivery teams on secure DevOps solutions.

Develop and scale software supporting Firefox’s build, test, and release pipelines. Improve developer experience through release automation, collaborate with distributed engineering teams, participate in code reviews, maintain existing tools and codebases, and respond to critical service outages during normal working hours.