Top Cloud Engineer Jobs in Glasgow

Build, upgrade, automate, and operate large-scale Cloud Foundry platforms across multiple data centers while expanding Kubernetes platform ownership. Develop infrastructure-as-code, improve pipelines and platform reliability, execute complex migrations and rebuilds, troubleshoot production systems, and maintain strong security controls. Lead technical initiatives end to end, mentor engineers, conduct code reviews, and collaborate with infrastructure providers and engineering teams.

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.

Design, develop, secure, test, and operate scalable cloud-native software systems integrating IoT and edge devices. Responsibilities include cloud architecture, device-to-cloud communication, distributed and concurrent systems, databases, networking, secure protocols, data pipelines, infrastructure as code, production monitoring, and system qualification. The role requires strong computer science fundamentals, backend or systems programming, Linux development, CI/CD, containers, orchestration, and distributed systems experience.

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.

Design and build scalable software for NVIDIA’s multi-tenant cloud infrastructure, including network and systems automation, hardware provisioning, APIs, and distributed services. Own software through development, testing, deployment, and production. Collaborate with engineers, architects, product managers, internal customers, and leadership while contributing to open-source projects and presenting technical roadmaps and demos.

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.

Build and operate scalable AWS cloud infrastructure centered on Amazon EKS, networking, infrastructure-as-code, and self-hosted services. Automate shard deployments, implement Terraform guardrails and secure ingress, support multi-region growth, and meet reliability, disaster recovery, compliance, and security requirements. Partner cross-functionally, troubleshoot application and infrastructure issues, participate in on-call and incident response, and use AI tools to improve engineering workflows.

Own the architectural roadmap for AlphaSense’s cloud, Kubernetes, storage, and configuration platforms. Lead cell-based infrastructure scaling, automate provisioning, standardize cross-cell controls, and operate hundreds of clusters. Improve security, reliability, cost, and performance while developing self-service, AI-enabled tooling. The role requires deep AWS, Kubernetes, storage, networking, operational, and software development expertise, plus the ability to influence senior engineering teams and deliver ambitious technical programs.

Operate and troubleshoot production SaaS environments across Linux, Kubernetes, and cloud infrastructure. Responsibilities include monitoring, incident response, deployments, CI/CD troubleshooting, remediation and rollback, Bash automation, documentation, runbook improvement, and regional operational handoffs. The role requires independent investigation of production issues, participation in scheduled European coverage and on-call rotations, and collaboration with DevOps, SRE, and development teams.

Lead a client-embedded platform engineering team responsible for designing, operating, and evolving reliable AWS infrastructure. Build platform capabilities including federated identity, assess and prioritize platform improvements, translate requirements into auditable delivery plans, and establish foundations for future growth. The role includes team leadership, mentoring, incident management, stakeholder engagement, roadmap development, and work in regulated environments.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Manage and optimize production Kubernetes clusters on GKE using Terraform, build secure and scalable cloud infrastructure, and develop golden paths and self-service automation for developers. The role supports cloud compliance standards, provides technical expertise on GCP and Kubernetes, maintains infrastructure documentation and solutions, and participates in an on-call rotation. Experience with AWS, CDK, Datadog, and cloud security practices is advantageous.

Design, operate, and optimize secure, highly available AWS cloud infrastructure, including EKS and ECS container platforms, Linux systems, and relational and NoSQL databases. Manage infrastructure as code, configuration management, observability, security controls, incident response, disaster recovery, and cloud cost optimization. Partner with engineering and platform teams to improve deployment reliability and operational efficiency while participating in on-call rotations and root cause analysis.

Designs, builds, and evolves reliable AWS platform capabilities, including federated identity and complex integrations. The role assesses existing infrastructure, prioritizes platform improvements, translates requirements into auditable delivery work, and supports future platform expansion. It also owns incident management, on-call and post-incident processes, leads and mentors platform engineers, and communicates priorities to technical and business stakeholders in regulated environments.

Lead the design, reliability, scalability, and evolution of AWS platform infrastructure. Assess existing platforms, prioritize improvements, translate requirements into auditable delivery work, and establish foundations for future platform expansion. Responsibilities include federated identity, complex integrations, incident management, on-call frameworks, post-incident reviews, regulated-environment controls, stakeholder engagement, delivery planning, and leading and mentoring platform engineering teams.

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, 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.