Staff Platform Engineer | Category-Defining AI Infrastructure & Vector Search | Remote
Staff Platform Engineer | Category-Defining AI Infrastructure & Vector Search | Remote
Staff Platform Engineer | Category-Defining AI Infrastructure & Vector Search | Remote
Staff Platform Engineer | Category-Defining AI Infrastructure & Vector Search | Remote
Xcede
Beratung, Consulting
Berlin
- Art der Beschäftigung: Vollzeit
- 82.500 € – 89.000 € (von XING geschätzt)
- Home-Office
- Zu den Ersten gehören
Staff Platform Engineer | Category-Defining AI Infrastructure & Vector Search | Remote
Über diesen Job
Software Engineering & ArchitectureCloud Engineering & ArchitectureDevOpsSoftwareCloudGermany
Staff Platform Engineer | Category-Defining AI Infrastructure & Vector Search | Remote
The Opportunity
We are a leading open-source engine and managed cloud provider at the heart of the AI revolution. Our platform serves as the "memory" for modern AI, powering high-scale search, recommendation, and data discovery for global enterprises.
We are looking for a Senior Platform Engineer —a "builder of builders"—to join our core Cloud Platform team. This is a pure software engineering role focused on building the primitives and abstractions that power our managed cloud offering.
The Mission: Engineering at Scale In this role, you aren’t just managing servers; you are designing the systems that make manual operations obsolete. You will build the control-plane components and internal APIs that allow our entire engineering organization to scale.
The Opportunity
We are a leading open-source engine and managed cloud provider at the heart of the AI revolution. Our platform serves as the "memory" for modern AI, powering high-scale search, recommendation, and data discovery for global enterprises.
We are looking for a Senior Platform Engineer —a "builder of builders"—to join our core Cloud Platform team. This is a pure software engineering role focused on building the primitives and abstractions that power our managed cloud offering.
The Mission: Engineering at Scale In this role, you aren’t just managing servers; you are designing the systems that make manual operations obsolete. You will build the control-plane components and internal APIs that allow our entire engineering organization to scale.
-
Architectural Leadership:
Drive high-impact initiatives like gRPC migrations and the development of eventing/pub-sub foundations.
-
Platform Primitives:
Design and evolve core services and internal APIs used by teams across the company.
-
Cloud-Native Innovation:
Own and improve cluster-api components and Kubernetes abstractions using production-grade
Go
.
-
DevEx Focus:
Build the tools and abstractions that reduce cognitive and operational load for our global engineering org.
-
Experience:
5 years in software engineering with a focus on platform, infrastructure, or distributed systems.
-
The Stack:
High proficiency in
Go
; experience with
Python
is highly preferred.
-
Cloud-Native DNA:
Deep expertise in
Kubernetes
and cloud-native architectures (experience with Operators is a major plus).
-
Systems Design:
Strong understanding of gRPC, event-driven architectures, and API design.
-
Mindset:
You treat the platform as a product and have the communication skills to drive technical alignment across remote teams.
-
Pure Engineering:
Focus on building primitives and long-term architectural fixes rather than day-to-day tickets.
-
Total Ownership:
Influence the foundational architecture of a platform used by the world’s most innovative AI companies.
-
Growth:
A clear trajectory toward Staff Engineer or Architecture roles.
-
Benefits:
Competitive salary, equity, and a fully remote, flexible work environment.