Top Cloud Engineer Jobs in Glasgow

Lead development of secure, scalable, multi-cloud platform provisioning services across AWS, Azure, and Google Cloud. Responsibilities include writing and reviewing production code, making architectural decisions, supporting reliable platform operations, mentoring engineers, improving SDLC practices, and applying responsible AI-assisted engineering tools. The role requires expertise in software engineering, public cloud, Terraform, distributed systems, microservices, and production platforms, with opportunities to build cross-cloud abstractions and support regulated financial services environments.

Build and maintain secure, scalable cloud provisioning platforms initially focused on Microsoft Azure, with future exposure to AWS and Google Cloud. Develop production code, review and debug peer code, support migrations, automate infrastructure management, and improve software delivery through AI-assisted development tools. Apply cloud-native architecture, Terraform, SDLC, Agile, DevOps, security, and reliability practices while contributing to platform design and engineering standards.

Leads engineering of secure cloud runtime compute products for JPMorganChase. Develops cloud-native solutions, improves cost, reliability, and performance, and collaborates with infrastructure, security, architecture, SRE, and application teams. Responsibilities include system design, application development, testing, operational stability, documentation, threat modeling, and adoption of validated AI-assisted engineering practices. Preferred experience includes AWS EKS, Kubernetes, cloud networking, network policies, permissions, and containerized runtime environments.

Leads software engineering for cloud financial management products, designing, developing, testing, securing, and troubleshooting production systems. Builds cloud-native applications and data pipelines, improves operational stability through automation, and promotes responsible AI-assisted engineering practices. Reviews code, guides technical decisions, evaluates vendors and architectures, and mentors engineers while supporting agile delivery and continuous improvement.

Leads software design, development, testing, troubleshooting, code review, and operational stability for cloud financial management technology. Develops secure production code, promotes AI-assisted engineering practices, automates recurring remediation, evaluates vendor technologies, collaborates across teams, and mentors engineers. Requires advanced programming expertise, software development lifecycle knowledge, cloud-native experience, agile practices, application resiliency, security, and financial services IT knowledge.

Work on real cloud deployments and basic infrastructure tasks on AWS or Azure: set up servers, storage, and networking; assist automation and deployment workflows; troubleshoot issues; and document work.

Writes, tests, reviews, and deploys production-quality software for application and infrastructure blueprint ecosystems. Contributes to agile design, pair programming, continuous improvement, automation, secure coding, and AI-assisted development practices. Works with AWS, Terraform, CI/CD, and software development lifecycle tools, while sharing knowledge and supporting scalable cloud platforms. Preferred experience includes AWS Lambda, Kubernetes, EKS, or ECS.

Design, automate and maintain Azure infrastructure at scale using Terraform and CI/CD. Build pipelines (Azure DevOps, GitHub Actions), enforce security and governance (Azure Policy, RBAC, Key Vault, Entra ID), monitor and optimise workloads, troubleshoot incidents, perform code and architecture reviews, mentor engineers, coordinate delivery, support migrations and onboarding, and participate in on-call rotations.

Implement and deploy cloud solutions using Terraform across GCP, Azure, and AWS, with a primary focus on GCP. Maintain cloud governance, policies, and optimization using migration and FinOps practices. Integrate third-party tools through identity providers and support Kubernetes microservice architectures, automation, infrastructure as code, and Git-based workflows.

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 design, develop, and troubleshoot private cloud infrastructure across multiple hypervisors. Produce architecture artifacts, write secure production code, apply DevOps/SRE practices, and adopt enterprise AI-assisted engineering to improve quality and delivery. Collaborate with global cross-functional teams, promote reusable patterns, and champion secure, resilient, and scalable private cloud services.

Build and maintain integrations with third-party billing and usage APIs, including authentication, synchronization, rate limits, error handling, schema changes, and self-service workflows. Develop the integrations framework, testing tools, customer-facing health and configuration interfaces, and API-first capabilities. Own features end to end across frontend, backend, databases, and cloud services while using AI tools throughout development.

Design, deploy, and operate containerized and serverless platforms on GKE, manage the enterprise Harness CI/CD platform, build standardized GitOps/IaC pipelines, embed DevSecOps controls, monitor platform health, onboard application teams, enforce policy-as-code governance, and collaborate with security and stakeholders to ensure secure, scalable, and repeatable deployments.

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.

Design, implement, and operate secure, scalable multi-cloud infrastructure (Azure/AWS) with IaC (Terraform), managed Kubernetes, containers, and AI platform support. Lead complex projects, define operational processes, ensure security/compliance, mentor teammates, and maintain observability for production systems.

Lead design and operation of production-grade CI/CD and developer-facing delivery infrastructure. Contribute hands-on in Go and Python, improve pipeline reliability and speed, define paved paths and self-service Internal Developer Portal, champion progressive delivery (canaries, automated rollbacks), embed AI tooling into SDLC, and collaborate with cloud platform and engineering teams globally.

Design, build, operate, and improve cloud-native Kubernetes platforms. Maintain cluster health, GitOps, IaC (Terraform), CI/CD, observability, incident response, cost and performance optimisation. Partner with engineering teams, support deployments, reduce technical debt, and for Lead roles own roadmap, mentor engineers, and manage stakeholder priorities.

Manage and optimise GKE Kubernetes clusters using Terraform; implement GitOps (ArgoCD) and developer golden paths; build infrastructure for safe, scalable deployments; support cloud compliance (SOC2, ISO-27001, Cyber Essentials); produce developer-facing documentation; act as GCP/Kubernetes technical lead and participate in on-call rotation.

Develop and maintain NedGraphics cloud products (OptiNedLink), build serverless AWS backends, design secure REST APIs and event-driven workflows, implement automated testing, optimize performance and scalability, enforce security best practices, integrate third-party APIs and ERP/PLM systems, and produce developer documentation and API specifications.

Hands-on senior cloud infrastructure engineer to design, build, and run a multi-tenant AWS SaaS hosting platform. Responsibilities include Terraform and Puppet infrastructure, Python automation, etcd-based service discovery, multi-tier caching, observability (Prometheus/Grafana/Loki), incident response, and platform reliability improvements.

The Cloud Infrastructure Engineer will design scalable cloud infrastructure, manage multi-cloud environments, and ensure system availability while collaborating with development teams and optimizing CI/CD processes.

Design, build, and operate multi-region AWS platforms with resilient networking, security, and automation. Implement IaC, cross-region routing, HA/DR patterns, observability, and cost/security best practices while collaborating with DevOps, SRE, Security, and application teams.

Lead Product Engineering efforts to design, automate, and operationalize repeatable AWS/GCP cloud services. Define cloud standards, onboard services, implement IaC/config management, support operations, and act as SME and escalation point.

Design and build distributed backend services for the cloud monetization platform, focusing on correctness, consistency, scalable microservices, distributed transactions, and reliable asynchronous workflows. Influence system architecture, own service implementations, and collaborate across teams to support billing, reservations, payments, and revenue flows.

Ensure availability, reliability and scalability of AWS-based services. Manage IaC, CI/CD for containerised and serverless apps, monitor with Prometheus/Grafana/CloudWatch, respond to incidents, drive cost optimisation and platform improvements.