Selected engineering work
Anonymised examples showing how Litanovo approaches delivery automation, platform consistency and repeatable engineering workflows.
More than 150 repositories had inconsistent or failing build processes, making maintenance and engineering visibility difficult.
Reviewed, standardised and modernised Azure DevOps CI pipelines across the repository estate.
Improved build consistency, maintainability and engineering visibility.
Windows desktop application validation required significant manual setup and repeated execution effort.
Built a Jenkins-driven workflow integrating application setup, VM-based execution, automated testing, reporting and artifact collection.
Created a repeatable automated validation workflow with consistent evidence collection.
Automated tests needed a repeatable and scalable execution environment.
Containerised test workloads and integrated Jenkins with Kubernetes-based build and test agents.
Improved execution consistency and created a foundation for scalable CI workloads.
The pattern behind the work
Whether the surface is CI/CD, desktop automation or Kubernetes, the objective is the same: reduce fragile manual work and make engineering outcomes repeatable.
Understand tools, dependencies, failure modes and ownership.
Create a maintainable workflow that fits the environment.
Remove manual setup, execution and evidence collection.
Leave the team with an operable, understandable system.
Tell us what is unreliable, repetitive or difficult to scale.