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DevOps Engineering

Hands-on engineers to build and maintain Infrastructure as Code and automation. We deliver faster, more secure cloud operations through CI/CD, GitOps, and Kubernetes expertise.

DevOps Engineering

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

FeaturesBenefits
Infrastructure as Code implementation and refactoringOn-demand technical engineering capacity
Pipeline build, optimisation and maintenanceFaster delivery of platform improvements
GitOps enablement and operationalisationReduced technical debt and fragility
Configuration management and automation scriptingImproved operational stability and reliability
Observability and monitoring integrationBetter automation and repeatability
Performance and cost optimisation changesLower incident volume and downtime
Kubernetes and container platform supportImproved security through consistent practices
Incident response and root cause analysisIncreased team capability through knowledge transfer
Documentation, runbooks and handoverBetter developer experience with smoother tooling
Skills transfer and pairing with teamsPredictable 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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