The automotive industry is moving from numerous function‑specific ECUs to software‑defined vehicles built on centralized compute and zonal E/E architectures. This transition reduces wiring complexity and supports scalable software deployment and over‑the‑air updates. As software demands grow, OEMs are adopting service‑oriented and cloud‑native development models, though applying microservice orchestration inside resource‑constrained automotive environments remains challenging. This thesis describes the design and implementation of a Software-Defined Vehicle stack based on open source components able to easily offload vehicle applications in between HPCs and update them Over-The-Air (OTA). Different orchestration solutions are compared based on resource usage, latency, and functional features. The results of the analysis served as the foundation for Atlas, a Python‑based orchestrator developed to manage containerized vehicle services.