Top Cloud Engineer Jobs in Glasgow

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.

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 development of Kubernetes-based container platform capabilities, including controllers, operators, APIs, admission policies, and developer tooling. Build Go and Python services, automation, delivery workflows, observability, and secure identity and policy controls. Contribute to architecture and technical standards, improve reliability and operational readiness, mentor engineers, and promote responsible AI-assisted development practices.

Designs, develops, tests, operates, and supports secure, reliable software solutions. Responsibilities include translating requirements into technical designs, building full-stack or cloud software, reviewing AI-assisted code, creating automated tests, participating in code and design reviews, documenting systems, and improving engineering practices. Specialisms include backend, frontend, full-stack, DevOps, and cloud engineering, using technologies such as Python, JavaScript, AWS, Terraform, and Kubernetes.

Supports AWS-based SaaS environments by monitoring infrastructure, troubleshooting incidents, deploying and maintaining cloud services, performing health checks, following runbooks, participating in on-call rotations, and communicating with customers and internal teams. The role also documents operational procedures, collaborates on reliability improvements, and uses AI tools to enhance engineering workflows.

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.

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.

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.

Provide third-line cloud infrastructure support and deployment across AWS and Azure, participate in projects, produce technical documentation, join on-call rotation, troubleshoot complex incidents, and apply IaC/DevOps practices to support managed services and customer SLAs.

Own the operational health, reliability, security, governance, automation, monitoring, backup, and recovery of public and hybrid cloud services. Diagnose complex incidents, manage technical dependencies, implement infrastructure-as-code, improve resilience, control platform changes, support service transitions, and mentor engineering teams across managed customer environments.

Owns end-to-end QA coverage across firmware, cloud services, and mobile applications for IoT products. Tests device-to-cloud communication, APIs, business logic, connectivity failures, offline operation, OTA updates, and rollback scenarios. Analyzes device and cloud logs, develops test data strategies, prioritizes automation scenarios, and maintains smoke and regression testing processes. Requires systems thinking, embedded and mobile testing experience, API testing, Agile QA processes, and familiarity with relevant test management tools.

Build, operate, and improve secure, scalable AWS infrastructure for ELN platform services. Responsibilities include infrastructure-as-code, automation, observability, incident response, cloud security, reliability improvements, troubleshooting, peer code reviews, and collaboration with engineering, security, and DevOps teams.

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.

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, 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.

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.