Skills
DevOps automation
Complex troubleshooting
Root cause analysis
Terraform
Infrastructure as Code
Ansible
Python
Jenkins
CI/CD
Linux administration
Git
GitHub
GitLab
Release management
Deployment management
Monitoring
Observability
Production support
Cross-functional collaboration
Technical mentoring
Linux
AWS
Azure
Google Cloud
ECS
OpenShift
Kubernetes
Summary
Join an enterprise engineering team as a senior automation specialist supporting and evolving critical platforms. You will troubleshoot complex production issues, perform root-cause analysis, build infrastructure as code, develop automation, maintain CI/CD pipelines, administer Linux environments, and improve monitoring and operational resilience. You will collaborate across engineering, infrastructure, networking, and security teams while mentoring colleagues and driving adoption of modern DevOps practices. At least five years of enterprise platform or application support is preferred, with additional value placed on cloud, container platforms, regulated environments, and AI-enabled operational automation.
Highlights
A senior contract role with broad platform ownership, significant automation impact, opportunities to modernize enterprise engineering practices, mentor colleagues, improve resilience, and work with emerging AI-enabled operations.
Description
Senior DevOps Engineer / Platform Automation Engineer - Day Rate Contract
We are seeking an experienced Senior DevOps Automation Engineer to join our engineering team and play a key role in supporting and evolving our enterprise platforms.
You'll work across infrastructure, applications, and deployment pipelines to improve operational resilience, modernize engineering practices, and drive automation across the software delivery lifecycle.
Key Responsibilities
Troubleshoot and resolve complex production and pre-production issues, performing detailed root cause analysis under pressure.Design, build, and maintain Infrastructure as Code using Terraform.Develop and maintain automation solutions using Ansible and Python.Build, administer, and enhance Jenkins CI/CD pipelines.Manage and support Linux-based environments while maintaining awareness of Windows infrastructure where required.Collaborate with development, infrastructure, networking, and security teams to ensure reliable application delivery.Support release and deployment management activities across enterprise environments.Troubleshoot issues across applications, middleware, network, infrastructure, and platform layers.Drive automation initiatives that replace manual operational processes and improve efficiency.Implement monitoring and observability solutions to improve platform health and reliability.Mentor colleagues and champion modern engineering practices, helping teams adopt automation and DevOps principles.
Essential Skills & Experience
To be considered, applicants must demonstrate experience in the following areas:
Exceptional troubleshooting and root cause analysis skills in complex, business-critical environments.Strong hands-on experience with:AnsibleTerraform (Infrastructure as Code)Python scriptingExperience administering and developing Jenkins pipelines.Strong Linux system administration skills.Experience using Git, GitHub, or GitLab, including modern branching strategies and version control workflows.
Preferred Experience
The successful candidate will ideally have experience with:
5+ years supporting enterprise applications or platforms.Release and deployment management.Container platforms such as ECS, OpenShift, or Kubernetes.Cloud platforms, preferably AWS (Azure or GCP experience also considered).Enterprise-scale or highly regulated environments.Monitoring and observability platforms.SSL and mTLS certificate management.Supporting critical production or pre-production environments.Delivering automation initiatives that eliminate manual processes.Influencing teams and helping colleagues embrace automation and continuous improvement.Diagnosing issues across application, infrastructure, networking, and platform layers.
Agentic AI (Highly Advantageous)
We are particularly interested in candidates with exposure to emerging AI-enabled engineering practices, including:
Designing and implementing Agentic AI solutions.AI-assisted operational automation.Intelligent workflow orchestration.AI-driven incident management and automated remediation.AI-enabled deployment validation and release control.Applying Generative AI technologies to improve engineering productivity, governance, and operational excellence.
For more information on this role please apply within with most up to date CV
