Open navigation Platform Engineering & DevOps
jambit works with you to build standardised platform structures, automate development and deployment processes, and establish effective DevOps models. Using Internal Developer Platforms, CI/CD and Infrastructure as Code, we free development teams from repetitive infrastructure tasks. The result is secure, efficient and scalable delivery processes rather than isolated tooling solutions.
Digital platforms only realize their full value when development can scale quickly, reliably, and securely. The focus is not on a specific toolset, but on a structured model that enables development teams to deliver applications efficiently – without constantly dealing with infrastructure and operations details.
Platform Engineering & DevOps at jambit means:
Translating architecture and transformation into a high-performing delivery organization. We create the technical and organizational framework that allows development to run productively, automated, and secure – fully compatible with your cloud strategy and existing platform architecture.
Platform Engineering is neither an isolated DevOps project nor just a tool setup. We take responsibility for the structural scaling of your delivery capabilities.
Our service framework covers three clearly defined areas of responsibility:
We establish a standardized platform foundation on which applications can be developed and operated consistently. This includes defined platform standards, reusable base components, and a unified delivery model.
The goal is a reproducible development environment – independent of team size or project context.
We implement automated build, deployment, and infrastructure processes – typically through CI/CD, Infrastructure as Code, and container-based runtime environments. This reduces manual handoffs, standardizes recurring tasks, and minimizes sources of error. As a result, delivery becomes measurable and governable.
We see DevOps not as a role, but as an operating model. Development and operations work together in cross-functional teams, resolving conflicts of objectives early.
Platform Engineering creates the structural foundation for this collaboration. DevOps ensures its effective implementation in day-to-day operations.
Scaling does not come from adding more tools, but from clear guardrails. Our approach follows three principles:
We define a preferred, standardized path for development and deployment. It covers most use cases, is proven in practice, and reduces custom solutions. Deviations are possible – but deliberately managed rather than historically grown by chance.
Development teams gain autonomy within defined security and compliance boundaries. Resources, environments, and deployments can be used in a standardized way without creating central bottlenecks. Speed increases without losing control.
New teams, applications, or product areas can be integrated on the same platform foundation. Platform Engineering thus becomes a scaling model for your entire development organization – not just for individual projects.
Depending on your starting point, Platform Engineering & DevOps typically includes the following components:
Establishing an Internal Developer Platform (IDP)
Introducing standardized CI/CD pipelines
Infrastructure as Code and automated provisioning
Container- and Kubernetes-based runtime environments
Security and compliance integration by design
Observability, monitoring and logging structures
Enablement and support for cross-functional DevOps teams
Platform Engineering & DevOps is a dedicated service component within the Digital Platforms & Cloud growth area. It addresses the question: How do we make development fast, standardized, and automated? Based on this foundation, the other fields of action build upon it.
A structured delivery organization directly impacts speed, stability, and governability. Delivery therefore evolves from a byproduct of projects into a strategically manageable capability.
Platform Engineering does not require a perfect starting point. What matters is the ambition to scale development in a structured way rather than individually. The topic becomes particularly relevant when:
If development runs into infrastructure limits or scaling grows in an uncontrolled way, it is time for a structural assessment.
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