Engineering Platform SRE
Posted 7 Aug 2026
Advertised as “Sovereign Engineering Platform SRE - T Cloud Public (REF5740Q)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Company Description
As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries.
DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.
Job Description
Mission
Design, build, and operate the secure infrastructure foundation used by Meridian engineering teams for AI-assisted software development, model experimentation, repository analysis, CI/CD execution, and controlled handover work in isolated or sovereignty-sensitive environments
Role focus
This infrastructure and operations role centers on Kubernetes-based engineering platforms, GitOps, private registries, internal model endpoints, observability, access control, and reliable operations for AI-enabled SDLC workloads. The candidate should enable engineering velocity while preserving security, auditability, and operational discipline
Key responsibilities
-
Build and operate Kubernetes environments that host AI engineering tools, internal model gateways, retrieval components, workflow services, CI/CD runners, and documentation services
-
Implement GitOps and Infrastructure as Code patterns for reproducible provisioning, configuration, policy enforcement, platform upgrades, and disaster recovery readiness
-
Manage private registries, package mirrors, secrets, identity integration, network segmentation, storage classes, backup routines, and controlled connectivity models
-
Provide observability for engineering workloads, including metrics, logs, traces, GPU and CPU utilization, service health, cost signals, and operational runbooks
-
Work with software, security, and architecture teams to ensure the platform supports AI-assisted SDLC workflows without creating uncontrolled data exposure or audit gaps
Examples of market tools, models, and platform components expected
-
Platform tooling such as Kubernetes, Helm, Terraform, Ansible, ArgoCD, Crossplane, GitLab runners, Jenkins agents, private registries, and internal package mirrors.