Data Engineer - AI (REMOTE) at Upbound - Job Posting

, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI, Cloud-Native, Machine Learning, Data Pipelines, Kubernetes, Semantic Search, Vector Databases, Feature Stores, Infrastructure Management, Technical Leadership, Control Planes, Knowledge Graphs, Telemetry Processing, Graph Databases, RAG Architectures

Industry

Software Development

Description

Upbound is the company behind Crossplane, the open source project which started the control plane revolution in the cloud native community. 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 Technical Leadership & Architecture 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 Product Development & Strategy 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 A plus if you: 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 #LI-REMOTE Why Upbound? At Upbound, you’ll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table. About Upbound Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit www.upbound.io.

Responsibilities

The Principal Data Engineer will lead the technical vision for data platforms supporting AI features and design data pipelines for machine learning models. This role involves architecting systems for semantic search and building infrastructure for processing configuration data and telemetry.