Platform Engineering Lead

About the Role

Architect and develop the core technology platform, including a unified data layer connecting databases, APIs, documents, and real-time feeds. Develop semantic layers and ontologies to model business objects, relationships, operational workflows, and permissions. Build infrastructure enabling AI agents to securely access context, invoke tools, and execute workflows in production. Lead and mentor a team of Forward Deployed Engineers, establishing development standards, review processes, and engineering practices. Partner directly with operational stakeholders to translate complex business problems into robust software applications and data models. Convert custom customer-specific solutions into reusable platform capabilities and repeatable deployment patterns. Implement enterprise-grade security, identity management, data isolation, audit logging, and compliance controls across the platform.

Required Skills & Experience

• Lead-level experience with 6+ years in software engineering, including significant ownership of production software architecture.
• C1 English level or higher.
• Strong full-stack engineering proficiency with technologies such as TypeScript, Python, React, APIs, and cloud infrastructure.
• Demonstrated experience designing ontologies, knowledge graphs, semantic layers, or object-based enterprise data models.
• Proven track record taking software from early prototype through production deployment in distributed cloud environments.
• Strong background in enterprise security, access controls such as RBAC and ABAC, data isolation, encryption, and compliance frameworks.
• Demonstrated experience mentoring or leading engineers alongside direct collaboration with business stakeholders.
• Ability to travel internationally as required.
• Hands-on experience with Cloud Architecture, Data Modeling, Distributed Systems, API Design, Relational Databases, large language models.

Skills

• TypeScript
• Python
• React
• Cloud Architecture
• Data Modeling
• Distributed Systems
• Ontologies
• API Design
• Enterprise Security
• Relational Databases
• large language models

What Else Should You Know

• Large Language Models
• AI Agents
• Vector Databases
• Event-Driven Architecture
• ERP Integration
• CRM Integration
• Workflow Automation