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Technical Lead | Sydney | NSW
Actively Reviewing
CELOTTI WORKFORCE
Job Description
Our client is developing a next-generation data and verification platform involving structured records, AI-queryable infrastructure, and complex multi-party access environments.
This is not a standard web application or off-the-shelf SaaS build.
The Platform Is Being Architected Around
The Role
This is a deeply hands-on technical role for someone who:
Applicants should demonstrate direct experience in one or more of the following:
Technical Considerations
The successful candidate should be comfortable working with concepts including:
This is not a standard web application or off-the-shelf SaaS build.
The Platform Is Being Architected Around
- event-sourced data models,
- immutable auditability,
- AI-agent interoperability,
- cryptographic/privacy-aware data handling,
- multi-party verification workflows,
- schema-level permission structures,
- and long-term structured intelligence modelling.
The Role
This is a deeply hands-on technical role for someone who:
- writes production code directly,
- makes architectural decisions themselves,
- and has experience building complex systems with lean teams.
- core schema and event-model design,
- verification infrastructure,
- permission and identity logic,
- AI-queryable data structures,
- enterprise-grade search architecture,
- and pilot-ready deployment.
- scalability,
- privacy law considerations,
- auditability,
- AI integration,
- and modular long-term system design from day one.
Applicants should demonstrate direct experience in one or more of the following:
- identity or verification infrastructure,
- AI-native applications,
- event-driven or event-sourced systems,
- trusted data infrastructure,
- compliance-heavy platforms,
- multi-tenant permission architectures,
- or platforms where data integrity itself forms the core product value.
Technical Considerations
The successful candidate should be comfortable working with concepts including:
- event-driven schema design,
- immutable records and audit trails,
- schema-level access controls,
- encryption and key management,
- AI-agent interoperability,
- MCP-native architecture,
- modular infrastructure design,
- and long-term structured intelligence modelling.
- relevant project examples,
- systems/products personally architected and built,
- availability,
- and indicative MVP build cost expectations
Required Skills
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