Advisor, Systems Engineering (DevOps Engineer)

What you will do

• Play a lead role in the design and implementation of a best-in-class software build and release technology solutions across multiple scrum teams and domains.
• Implementation of Continuous Integration (CI) and Continuous Delivery (CD) through automation and integration with our developer tooling.
• Delivering best practices in DevSecOps including CI/CD, SCM, Security practices.
• Perform regular demos to key stakeholders and consumers.
• Be an active participant and influencer in the development community and share your knowledge and experience across the organisation.
• Maintain technical documentation and conduct training to Scrum teams in the use of SCM and CI/CD tooling.
• Engage with Scrum teams and other stakeholders to identify and prioritise gaps and include in our backlog for prioritisation and implementation.
• Participate in the release planning activities, roadmap and backlog grooming.
• Drive initiatives to improve delivery through DevOps and release on demand practices and ensure built-in quality in the SDLC.
• Help the team drive a DevOps culture to create a best in class, high performing teams with a continuous improvement mind-set focused on delivering customer value.
• Support Release Manger and coordination of platform deployments
• Assist with Change Management planning and weekly reviews
• Assist with monthly OS patching coordination and validation

What you need to have

• Total Experience – 8 to 13 years
• Expert knowledge of CI/CD and associated tooling including Gitlab CI, Jenkins, Argo CD, Rundeck or similar.
• Expert on modern git-based Source Code Management platform(s) with expert knowledge of git branching strategies such as Git-flow.
• Experience with observability tooling, ideally Dynatrace (APM, Kubernetes monitoring, service-level visibility)
• Extensive hands-on experience of Cloud automation using Infrastructure as Code
• Expert in one or more programming languages e.g., Java, Python, Shell Scripting or similar.
• Experience with configuration management tooling including Terraform, Ansible or similar.
• Advanced working knowledge of secure coding practices, cybersecurity, vulnerability management, source code and artifact provenience and associated tooling including OSA/SCA, SAST, DAST.
• Experience with Source Code Static Analysis / Quality tools such as SonarQube
• Hands-on production experience with Kubernetes (microservices) (from Docker image to deployment, ingress / Istio)
• Extensive experience of build automation across the complete project life cycle, in an Agile environment.
• Experience of build management in a multi-platform distributed team.
• Experience with container and container orchestration technologies (Kubernetes).
• Apply GenAI tools (e.g., GitHub Copilot, ChatGPT, Microsoft Copilot) to improve productivity, code quality, documentation, and analysis.
• Leverage ML, NLP, or AI automation to optimize workflows, testing, data analysis, or product development.
• Translate business problems into AI‑driven use cases with measurable outcomes.
• Collaborate with cross‑functional teams to integrate AI models, automation pipelines, or intelligent assistants into products.
• Ensure ethical AI usage, data governance compliance, and secure handling of model outputs.
• Stay updated with emerging AI technologies and recommend adoption strategies.

What would be great to have

• DevOps advocate who is passionate about continuous improvement through process refinement and automation.
• Enjoys working with people and helping coach and encourage individuals and teams along the Agile/DevOps journey.
• Engages with and supports teams in problem identification and decision-making.
• Meticulous, with the ability to capture technical detail accurately.
• Ability to leverage both personal experience and detailed knowledge of the fundamentals of build / release management & engineering to provide creative solutions.
• Excellent verbal and written communication skills to support effective communication with all stakeholders.
• Ability to report issues accurately and objectively.
• Ability to build effective stakeholder relationships up-to and including programme directors.
• Comfortable working to deadlines, achieving results under time pressure without compromising quality.
• Experience using AI copilots for productivity and quality improvement.
• Capable of writing effective prompts, verifying responses,