Staff Engineer, Production Intelligence (Knowledge Graph / AI Systems)

About the Role

We are looking for a highly experienced Staff Engineer to build and own a next-generation production intelligence platform at the intersection of AI, infrastructure, and data systems.

This role goes beyond traditional backend or data engineering — it focuses on designing a knowledge graph layer that enables AI systems to understand and reason about complex production environments in real time.

You will be one of the first engineers in this domain area, with full ownership of architecture and key technical decisions.

What You Will Do

• Design and own a production knowledge graph architecture (schema, entities, relationships, temporal modeling)
• Build data ingestion pipelines from multiple sources (CI/CD, infrastructure, cloud systems, streaming platforms)
• Define strategies for handling high-volume, high-cardinality production data
• Develop a semantic layer enabling intelligent querying and reasoning over the system
• Ensure data consistency, quality, and long-term coherence
• Work closely with engineering leadership on architecture and system design
• Validate solutions against real-world production environments

Requirements

• 10+ years of experience in backend or systems engineering
• Strong hands-on experience with graph databases (Neo4j preferred)
• Proven experience building scalable data ingestion pipelines
• Deep understanding of distributed systems and cloud-native infrastructure
• Experience with Kubernetes, CI/CD, and modern DevOps practices
• Strong data modeling skills (entities, relationships, versioning, schema design)
• Ability to make architectural decisions independently in a fast-paced environment

Nice to Have

• Experience with infrastructure graph tools (e.g., Cartography or similar)
• Experience working with AI/ML systems or LLM-based architectures
• Familiarity with event-driven systems (Kafka, streaming)
• Background in knowledge graphs or semantic systems

Tech Stack

Neo4j, Python, Kafka, Kubernetes, PostgreSQL, Graph-based tooling, cloud infrastructure

What Makes This Role Unique

This is not a typical backend or data role. You will be building the core knowledge layer that enables AI systems to reason about production environments.

You will:

• Own the architecture from day one
• Make high-impact technical decisions
• Work on a product that sits at the intersection of AI + infrastructure + data

Hiring Process

• 2–3 interview stages
• Technical + system design focus