Upbound - Job Posting
Data Engineer - AI (REMOTE)
Upbound - Job Posting, San Francisco, California, United States, 94199
Upbound is redefining how modern infrastructure is built. As the creators of Crossplane and the pioneers of the Intelligent Control Plane, we are leading the shift toward
agentic infrastructure : platforms that reason, adapt, and operate alongside AI‑native systems.
We're seeking an exceptional Principal Data Engineer to serve as the technical leader for data infrastructure supporting Upbound's current product suite in addition to our AI initiatives and intelligent control plane capabilities. In this role, you'll architect and drive the development of sophisticated data platforms that power AI‑driven features. You'll design solutions that leverage control planes and our Marketplace as a knowledge store, building RAG systems and semantic search capabilities that help users discover and implement infrastructure patterns at scale. You'll create data pipelines that process infrastructure telemetry, configuration data, and usage patterns to train models that make our control planes more intelligent and autonomous. This is an opportunity to work at the intersection of cloud‑native infrastructure and artificial intelligence, directly impacting how enterprises manage their infrastructure through Upbound's platform.
What You'll Do
Define and drive the technical vision for data platforms that support AI‑powered features in Crossplane and Upbound Spaces
Lead the design of data pipelines that transform infrastructure and data into training datasets for ML models
Architect vector search and RAG systems that leverage Crossplane Control Planes & Upbound Marketplace as a knowledge store
Build data infrastructure that processes resources, extensions, and compositions for semantic search
Establish frameworks for collecting, processing, and analyzing infrastructure configuration data
Design data pipelines that handle Crossplane‑specific data
Create infrastructure for indexing and searching Upbound Marketplace content, documentation, and community patterns
Develop metrics and monitoring for AI features integrated with Upbound's control plane architecture
Design data systems that power AI agents for infrastructure provisioning & operations, helping users generate and optimize Crossplane compositions
Create feature engineering platforms that extract signals from control plane operations, resource status, and reconciliation patterns
Implement data infrastructure for training models that predict infrastructure failures, optimize resource allocation, and suggest configuration improvements
Drive the development of knowledge graph representations of infrastructure dependencies and relationships
What You'll Bring
10+ years of software/data engineering experience with at least 4 years in technical leadership roles
Proven track record building data platforms that support production systems at scale
Deep expertise in both traditional data engineering (Spark, Airflow, data lakes) and ML‑specific infrastructure (feature stores, model serving)
Experience with vector databases (Pinecone, Weaviate, Qdrant, Milvus, pgvector, Opensearch, ElasticSearch)
Demonstrated experience with LLM applications, including RAG architectures and semantic search implementations
Understanding of Kubernetes, cloud‑native architectures, and infrastructure‑as‑code principles
Technical Expertise
Strong understanding of data requirements for AI/ML systems: training pipelines, feature stores, and inference infrastructure
Hands‑on experience building knowledge bases and semantic search systems for technical documentation and code
Experience with embedding models for code and technical documentation
Knowledge of time‑series data processing for infrastructure metrics and events
Understanding of graph databases and their application to infrastructure dependency modeling
Leadership Qualities
Exceptional technical judgment with the ability to navigate both the AI and cloud‑native landscapes
Demonstrate a positive attitude and foster an environment of experimentation and innovation
Strong ability to translate infrastructure management problems into data engineering solutions
Passion for making infrastructure management more intelligent and accessible through AI
Deep empathy for platform engineers and understanding of their operational challenges
Have direct experience with Crossplane and Upbound products
Experience building AI features for developer tools or infrastructure platforms
Understanding of enterprise compliance requirements for infrastructure platforms
Knowledge of policy engines
#LI-REMOTE
As set forth in Upbound - Job Posting’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr
agentic infrastructure : platforms that reason, adapt, and operate alongside AI‑native systems.
We're seeking an exceptional Principal Data Engineer to serve as the technical leader for data infrastructure supporting Upbound's current product suite in addition to our AI initiatives and intelligent control plane capabilities. In this role, you'll architect and drive the development of sophisticated data platforms that power AI‑driven features. You'll design solutions that leverage control planes and our Marketplace as a knowledge store, building RAG systems and semantic search capabilities that help users discover and implement infrastructure patterns at scale. You'll create data pipelines that process infrastructure telemetry, configuration data, and usage patterns to train models that make our control planes more intelligent and autonomous. This is an opportunity to work at the intersection of cloud‑native infrastructure and artificial intelligence, directly impacting how enterprises manage their infrastructure through Upbound's platform.
What You'll Do
Define and drive the technical vision for data platforms that support AI‑powered features in Crossplane and Upbound Spaces
Lead the design of data pipelines that transform infrastructure and data into training datasets for ML models
Architect vector search and RAG systems that leverage Crossplane Control Planes & Upbound Marketplace as a knowledge store
Build data infrastructure that processes resources, extensions, and compositions for semantic search
Establish frameworks for collecting, processing, and analyzing infrastructure configuration data
Design data pipelines that handle Crossplane‑specific data
Create infrastructure for indexing and searching Upbound Marketplace content, documentation, and community patterns
Develop metrics and monitoring for AI features integrated with Upbound's control plane architecture
Design data systems that power AI agents for infrastructure provisioning & operations, helping users generate and optimize Crossplane compositions
Create feature engineering platforms that extract signals from control plane operations, resource status, and reconciliation patterns
Implement data infrastructure for training models that predict infrastructure failures, optimize resource allocation, and suggest configuration improvements
Drive the development of knowledge graph representations of infrastructure dependencies and relationships
What You'll Bring
10+ years of software/data engineering experience with at least 4 years in technical leadership roles
Proven track record building data platforms that support production systems at scale
Deep expertise in both traditional data engineering (Spark, Airflow, data lakes) and ML‑specific infrastructure (feature stores, model serving)
Experience with vector databases (Pinecone, Weaviate, Qdrant, Milvus, pgvector, Opensearch, ElasticSearch)
Demonstrated experience with LLM applications, including RAG architectures and semantic search implementations
Understanding of Kubernetes, cloud‑native architectures, and infrastructure‑as‑code principles
Technical Expertise
Strong understanding of data requirements for AI/ML systems: training pipelines, feature stores, and inference infrastructure
Hands‑on experience building knowledge bases and semantic search systems for technical documentation and code
Experience with embedding models for code and technical documentation
Knowledge of time‑series data processing for infrastructure metrics and events
Understanding of graph databases and their application to infrastructure dependency modeling
Leadership Qualities
Exceptional technical judgment with the ability to navigate both the AI and cloud‑native landscapes
Demonstrate a positive attitude and foster an environment of experimentation and innovation
Strong ability to translate infrastructure management problems into data engineering solutions
Passion for making infrastructure management more intelligent and accessible through AI
Deep empathy for platform engineers and understanding of their operational challenges
Have direct experience with Crossplane and Upbound products
Experience building AI features for developer tools or infrastructure platforms
Understanding of enterprise compliance requirements for infrastructure platforms
Knowledge of policy engines
#LI-REMOTE
As set forth in Upbound - Job Posting’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr