DevOps Engineer

At CGI, you’ll help build and operate the reliable, scalable cloud platforms that underpin critical services and enable our clients to deliver with confidence. As a DevOps Engineer, you’ll work across Microsoft Azure and AWS, using cloud-native technologies, automation and observability to improve application delivery and platform performance. You’ll have the freedom to take ownership of challenges, introduce creative improvements and make a measurable impact on the reliability and efficiency of our environments. Working alongside development, cloud, platform and operations specialists, you’ll be part of a supportive community where knowledge is shared, ideas are valued and you can continue developing your expertise while helping shape better ways of working. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go. You will need to be eligible to go through UK Security Clearance to SC level. This is a hybrid position but will require a couple of days a week on site at our and our client’s offices in Glasgow. Candidate Profile In this role, you will support the deployment, operation and continuous improvement of cloud-native platforms across Azure and AWS. You’ll take ownership of day-to-day DevOps and platform engineering activities, working hands-on with Kubernetes and Jenkins to create reliable, repeatable delivery processes and resolve challenges across applications and infrastructure. You’ll also help strengthen observability across our environments, using monitoring, metrics and visualisation to identify issues early and improve platform performance. Supported by collaborative development, cloud, platform and operations teams, you’ll have the opportunity to introduce new ideas, automate repetitive processes and continuously improve how services are delivered and operated. Operate & Optimise: Support cloud and platform engineering activities across Azure and AWS environments. Deploy & Manage: Operate Kubernetes applications and services, including deployments, scaling, networking and configuration. Automate & Deliver: Develop, maintain and improve CI/CD pipelines using Jenkins. Monitor & Improve: Build and maintain Grafana dashboards that provide meaningful insight into application and platform health. Measure & Alert: Configure Prometheus metrics, monitoring and alerting to enable proactive issue identification. Troubleshoot & Resolve: Investigate application and infrastructure incidents, supporting root cause analysis and remediation. Observe & Analyse: Use Elasticsearch and Kibana where applicable to support logging, monitoring and troubleshooting. Collaborate & Innovate: Work across engineering and operations teams to improve automation, tooling, reliability and operational standards. Required Qualifications To Be Successful In This Role You’ll be a hands-on DevOps Engineer with strong experience across cloud infrastructure, Kubernetes, CI/CD and observability. You should be comfortable troubleshooting across multiple layers of cloud-native environments and collaborating with multidisciplinary engineering teams. Strong Azure, Kubernetes and Jenkins expertise will be important, while AWS, ELK and Java Spring Boot experience would be advantageous. Strong hands-on experience with Microsoft Azure and cloud platform engineering. Strong practical experience deploying, managing and troubleshooting Kubernetes environments. Proven experience developing and supporting CI/CD pipelines using Jenkins. Good understanding of DevOps automation, deployment and operational best practices. Experience implementing observability and monitoring using Grafana and Prometheus. Strong troubleshooting skills across applications, cloud infrastructure and platform services. Experience with AWS would be beneficial. Knowledge of Elasticsearch and Kibana (ELK) would be beneficial. Exposure to Java Spring Boot applications would be advantageous. Ability to collaborate effectively across development, platform, cloud and operations teams.