
DevOps Engineering provides hands-on technical resolver capability to build, evolve, and operate modern cloud platforms. We focus on engineering outcomes like automation, repeatability, delivery velocity, and operational reliability. Our engineers embed with teams to implement durable delivery capabilities across public, private, and sovereign clouds.
Features & Benefits
| Features | Benefits |
|---|---|
| Infrastructure as Code implementation and refactoring | On-demand technical engineering capacity |
| Pipeline build, optimisation and maintenance | Faster delivery of platform improvements |
| GitOps enablement and operationalisation | Reduced technical debt and fragility |
| Configuration management and automation scripting | Improved operational stability and reliability |
| Observability and monitoring integration | Better automation and repeatability |
| Performance and cost optimisation changes | Lower incident volume and downtime |
| Kubernetes and container platform support | Improved security through consistent practices |
| Incident response and root cause analysis | Increased team capability through knowledge transfer |
| Documentation, runbooks and handover | Better developer experience with smoother tooling |
| Skills transfer and pairing with teams | Predictable progress with measurable outcomes |
Service Detail
Engineering Practices and Delivery
We embed expert engineering capability into your squads to implement durable delivery functions, focusing on sustainable practices rather than just tooling. By applying Infrastructure as Code (IaC), we transform manual provisioning into automated, reproducible deployments that reduce human error and significantly improve platform resilience. Our engineers establish high-performance CI/CD pipelines—integrated with platforms such as GitLab CI or Azure DevOps—utilising automated build, release, and test workflows to ensure every software deployment is consistent and repeatable. Where containerisation is required, we design and run secure Docker and Kubernetes patterns, focusing on cluster hardening, supply-chain controls, and runtime protection. We operationalise GitOps patterns to maintain Git as the absolute source of truth, ensuring configuration drift is minimised and live environments always reflect design intent.
Security, Assurance, and Operational Security
Security and compliance are intrinsic to our engineering, not an afterthought. We embed policy-as-code controls and automated checks—utilising configuration management tools such as Terraform, Chef, Puppet, and Ansible—aligned to NCSC, NIST, and CIS frameworks. This includes implementing least privilege access and auditable pipelines that provide the technical evidence required for formal governance and assurance. We also integrate observability and monitoring tools into the platform to provide a coherent operational view of performance and security posture. This visibility allows our engineers to support incident response and root cause analysis efficiently, reducing downtime and incident volume.
Operating Model, Data Handling, and Transition
Our service is delivered via a repeatable, secure operating model designed for measurable progress through short, prioritised iterations. Following a structured onboarding to confirm scope, environments, and security constraints, we produce essential run artefacts—including service catalogue entries, dashboards, and detailed runbooks—to ensure a clean transition to Business as Usual (BAU). We prioritise data handling and portability, following your specific retention rules and protecting data at rest and in transit while ensuring you retain absolute ownership. By using documented configurations and exportable artefacts, we ensure your platforms remain portable, allowing you to migrate, re-host, or exit without encountering vendor lock-in.
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