Barclays
CloudDevOpsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Cloud DevOps Engineer at Barclays. Skills: Kubernetes, Docker, CI/CD, GitLab, Infrastructure as Code (IaC), Terraform, Python, Bash, Platform Engineering. Build and maintain infrastructure platforms and products. Ensure infrastructure is reliable, scalable, and secure”
What You'll Achieve.
Ensuring that the infrastructure is reliable, scalable, and secure; Ensuring measurable reliability, performance, availability, and ease of use; Driving down mean time to resolution; Improve efficiency and reduce manual intervention; Protect infrastructure against cyber-attacks, vulnerabilities, and other security threats; Ensure seamless integration and alignment with business objectives via a data driven approach; Deliver to a consistently excellent standard
Industry & Context.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience; Make evaluative judgements based on the analysis of factual information, paying attention to detail
What They're Looking For.
Must Have
expertise in Kubernetes and Docker, including cluster operations, workload orchestration, scaling, and troubleshooting, Hands-on experience in building and managing CI/CD pipelines using GitLab for automated build, test, and deployment workflows, Solid understanding of container orchestration patterns, including multi-container pods, init containers, and deployment strategies, Experience with Infrastructure as Code (IaC) using tools such as Terraform, Helm, or Kubernetes manifests, scripting and automation capabilities using Python and/or Bash, Good understanding of platform engineering practices, enabling reusable components and self-service deployment models, Knowledge of Kubernetes networking, security (RBAC, secrets), and resource optimization techniques
Nice to Have
Exposure to cloud platforms (AWS preferred) and managed Kubernetes services like EKS, Experience with observability and monitoring tools such as Prometheus, Grafana, Loki, or OpenSearch, Familiarity with GitOps practices, Helm charts, and enterprise-grade secure platform design
What You'll Do.
Build and maintain infrastructure platforms and products
Ensure infrastructure is reliable
and scalability of systems
Apply software engineering techniques
and best practices in incident response
and maintain high-quality infrastructure solutions
Identify appropriate technologies and solutions
Monitor IT infrastructure and system performance
Address and resolve potential issues
Drive down mean time to resolution
Develop and implement automated tasks and processes
Implement secure configurations and measures
Spearhead the evolution of infrastructure and deployment pipelines
Drive innovation and operational excellence
Build and manage robust
scalable and secure infrastructure
Ensure seamless delivery of digital solutions
How You'll Work.
Team & Collaboration
Cross-functional collaboration with product managers, architects, and other engineers; Partner with other functions and business areas; Guide and persuade team members; Act as contact point for stakeholders outside of the immediate function; Building a network of contacts outside team and external to the organisation
Communication Scope
Communicate complex / sensitive information
Full Job Description
# **Job Description** **Purpose of the role** To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response. **Accountabilities** * Build Engineering: Development, delivery, and maintenance of high-quality infrastructure solutions to fulfil business requirements ensuring measurable reliability, performance, availability, and ease of use. Including the identification of the appropriate technologies and solutions to meet business, optimisation, and resourcing requirements. * Incident Management: Monitoring of IT infrastructure and system performance to measure, identify, address, and resolve any potential issues, vulnerabilities, or outages. Use of data to drive down mean time to resolution. * Automation: Development and implementation of automated tasks and processes to improve efficiency and reduce manual intervention, utilising software scripting/coding disciplines. * Security: Implementation of a secure configuration and measures to protect infrastructure against cyber-attacks, vulnerabilities, and other security threats, including protection of hardware, software, and data from unauthorised access. * Teamwork: Cross-functional collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach. * Learning: Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. **Analyst Expe
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