Chief Platform Engineer

Screen International Group Ltd; United States; On-site; USD 190,000 - 290,000; Full time

Job summary

Screen International Group Ltd seeks a Chief Platform Engineer to own the data layer of a next-generation reasoning platform. Lead ontology, knowledge graph, and platform direction, reporting to the CTO. Own production Qdrant vector store, and design secure, auditable pipelines with strict provenance.

You will architect ingestion/entity-resolution pipelines, enforce a symbolic data write path, and drive SOC 2 readiness for regulated data. In-person role in San Francisco with H-1B/L-1 sponsorship.

Qualifications

• Designed and operated production ontologies or knowledge models
• Proven experience with production-grade backends in Python
• Experience building pipelines against heterogeneous data sources
• Ability to lead platform security end-to-end including RBAC/ABAC
• Experience with SOC 2 or regulated-data readiness
• Strong architectural and leadership capabilities

Responsibilities

• Own ontology design and knowledge graph schema
• Maintain production knowledge graph and vector store (Qdrant)
• Architect ingestion and entity-resolution pipelines with provenance
• Lead platform security, encryption, audit trails and compliance readiness
• Drive platform reliability, SLOs, observability across FastAPI services
• Hire and build the platform team

Skills

Security architecture

Multi-tenant isolation

Platform ownership

Data pipelines

TypeDB/TypeQL

Neo4j

RDF/SPARQL

Python backend

FastAPI

Education

CS degree or equivalent

Tools

TypeDB/TypeQL

Neo4j

RDF/SPARQL

FastAPI

Job description

Chief Platform Engineer

A C‑suite technical leadership role owning the entire data layer beneath a next‑generation reasoning platform. This seat reports directly to the CTO and assumes full responsibility for the ontology, knowledge graph, pipelines, and platform‑layer direction. You’ll inherit a lean, high‑impact system, evolve it, and ultimately build and lead the platform engineering team.

Role Overview

You will design and maintain the core ontology in TypeDB/TypeQL, defining the entity types, relations, and rules that model scientific workflows — experiments, assays, materials, evidence. You’ll own the production knowledge graph and Qdrant vector store, driving schema evolution, query performance, and hybrid symbolic‑plus‑semantic retrieval.

You’ll architect ingestion and entity‑resolution pipelines that normalize heterogeneous, messy inputs (instrument data, ELN/LIMS, publications, assay results) with strict provenance at write time. You’ll define and enforce the audited write path to the symbolic layer — agents read but never mutate.

You will also lead platform security end‑to‑end: RBAC/ABAC, tenant isolation, secrets management, encryption, audit logging. You’ll drive SOC 2 readiness and prepare the platform for GxP and 21 CFR Part 11 compliance.

What You’ll Own

• Ontology design in TypeDB/TypeQL

• Knowledge graph + Qdrant vector store in production

• Schema evolution, query performance, hybrid retrieval

• Ingestion + entity‑resolution pipelines with provenance

• Controlled, audited write path for symbolic data

• Platform security: authN/authZ, isolation, secrets, encryption, audit trails

• SOC 2 certification and regulated‑data readiness

• SLOs, observability, and reliability across FastAPI services

• Engineering standards and hiring the platform team

Ramp: Week 1 — deep dive into internal docs and data‑interaction patterns. By end of Month 1 — full ownership of platform development and evolution.

Requirements

• Designed and operated production ontologies or knowledge models (e.g., semantic layers, master‑data systems, knowledge graphs)

• Strong command of TypeDB/TypeQL, Neo4j, or RDF/SPARQL

• Production‑grade Python backend; FastAPI or equivalent

• Experience building pipelines against heterogeneous, messy data sources

• Applied security experience: authorization models, multi‑tenant isolation, secrets, encryption, threat modelling

• Strong across both front‑end and back‑end engineering

Execution & Ownership

• Sets architecture and operates autonomously in an early‑stage environment

• Product‑obsessed, with genuine leadership instincts

• First‑principles thinker — not reliant on boilerplate or AI‑generated scaffolding

Background

• Wide experience band: early‑career high‑trajectory engineers through seasoned operators

• CS fundamentals and formal education are strong signals

• End‑to‑end personal projects, original research, or open‑source contributions weighted heavily

Location & Visa

• In‑person role in San Francisco

• Sponsorship available (H‑1B/L‑1)

Nice‑to‑Have

• Vector search / retrieval (Qdrant or equivalent)

• Life sciences, biotech, or scientific‑computing exposure

• SOC 2 or HIPAA experience

• Agent orchestration or probabilistic programming (DSPy, Pyro)

• Philosophy or formal‑logic interest

• Hackathon wins, coding‑competition medals, or athletic background