AWS System Administrator

UK (Birmingham)

Salary:
Competitive salary and package (Depending on level of experience)

Please Note:

Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application.

• Solaris, Linux or Windows experience
• Deep technical know-how and hands‑on experience implementing integrated automation solutions using a broad range of Dev Ops toolsets.
• Expertise in Infrastructure as Code tools, such as Terraform is preferred.
• Expertise with code repository management, code merge and quality checks, continuous integration, and automated deployment and management using Ansible, Jenkins, and Git. Knowledge of Docker, Kubernetes, Puppet, Chef, Maven, Ant, Ivy, and Urban Code would be advantageous.
• Experience in Dev Sec Ops , including secret management, tools integration to harden the baseline, and privilege management.
• Associate‑level cloud certification in Azure or AWS.
• Hands‑on experience in Azure and AWS cloud technologies, including compute, networking, storage, and security services.
• Expertise in designing and implementing continuous delivery and/or Dev Ops solutions across cloud‑native and hybrid environments.
• Experience with approaches and tooling for automated build, delivery, and release of software, ensuring reliability and repeatability.
• Ability to define and manage the roadmap for Dev Ops implementation in an established operational environment, aligning with business and technical goals.
• Strong knowledge in developing integrated toolset solutions within an enterprise‑wide environment, ensuring scalability, maintainability, and compliance.
• Working knowledge of IT Service Management (ITSM) practices and tools such as Service Now, with experience in incident, change, and problem management processes.
• Proficiency in Power BI, with the ability to build dashboards that visualise deployment metrics, cloud cost trends, incident volumes, and SLA performance, using DAX and Power Query for data modeling.
• On-Call Support – Provide on‑call support outside of standard working hours as and when required to ensure continuity of service and timely resolution of critical issues.

• Work on multiple projects as part of a wider cloud capability team.
• Get Dev Ops up and running by overseeing the execution of tools and processes in the Dev Ops toolchain, and promote the Dev Ops culture in our client organizations.
• Help customers with Dev Ops projects by providing them with technical, consultative, and delivery services.
• Serve as a trusted automation and tooling advisor for Dev Ops initiatives by providing clients with objective, practical, and relevant advice, identifying opportunities for optimisation.
• Work with the development teams to meet acceptance criteria, gathering and documenting the requirements. Help lead continuous integration, delivery, automation, and infrastructure‑as‑code efforts for multiple cloud service offerings.
• Where required set up and manage the operation of project development and test environments as well as the software configuration management processes for the entire application development life cycle.
• Help client’s transition to Dev Ops by driving adoption of tools and practices, and by directing elements of the Dev Ops implementation.
• Resolve and elevate issues as necessary.
• Undertake necessary trainings and certifications on latest technologies.

• Solaris, Linux or Windows
• Familiarity with Azure and/or AWS CLI and SDK tools.
• Knowledge of Linux and Windows server operating systems.
• Expertise in scripting languages such as Python, Power Shell & Shell.
• Strong incident fault finding skills and experience.
• Familiarity with ITSM, Agile methodologies and tools eg Azure Dev Ops, Service Now
• Good communication and problem‑solving skills.

• Understanding of core AI concepts and how they apply within business and delivery contexts.
• Proficiency in AI‑powered workplace tools (such as Microsoft 365 Copilot) to create, analyse, and refine content, automate repetitive tasks, summarise information, and improve workflow efficiency.
• Awareness of Responsible AI principles and adherence to enterprise AI governance, standards, and approved usage guidelines.
• AI Training and/or Certifications, or a commitment to ongoing learning to maintain and grow AI proficiency.