Data Systems Engineer
Bluprynt is a compliance operating system and trust layer for tokenized and digital assets, providing machine-readable issuer, collateral, and regulatory-compliance credentials for on-chain markets.
Funding history
About Bluprynt
Bluprynt develops crypto-native compliance infrastructure linking off-chain regulatory requirements with on-chain identity, policy enforcement, disclosures, credentialing, and supervisory visibility. Its products include Know Your Issuer (KYI), SmartDocs, Proof of Collateral, and policy-enforcement infrastructure used by issuers, exchanges, custodians, lenders, insurers, regulators, and blockchain ecosystems.
Skills
About the Role
You will own the technical architecture and delivery of a compliance data platform. You will write Python and TypeScript code, design PostgreSQL schemas, build multi-source ingestion and ETL/ELT pipelines, integrate external APIs, interact with blockchain registries, automate workflows with AI agents, and translate regulatory and product requirements into scalable engineering solutions. You will also manage engineering contributors and own technical roadmaps.
Requirements
- Python engineering for data-intensive systems
- TypeScript and Node.js backend development
- PostgreSQL schema design
- API integration architecture
- Multi-source data ingestion
- ETL/ELT architecture
- Structured vocabulary schema design
- Smart contract interaction
- On-chain registry design
- Engineering team management
- Technical roadmap ownership
- AI agent orchestration
- Workflow automation
- AI-assisted testing
- Regulatory or compliance technology experience
- LLM integration
- Multi-chain experience
- AWS infrastructure
- Infrastructure as code
Responsibilities
- Own the technical architecture and delivery of the data platform
- Write production code daily
- Design PostgreSQL schemas for multi-tenant compliance data
- Build API polling, webhook, and event-driven integrations
- Design and build multi-source ETL/ELT pipelines
- Process structured and unstructured data
- Implement scheduling, retries, and observability
- Design versioned taxonomies and controlled vocabularies
- Read and write to on-chain registries
- Manage external or embedded engineering teams
- Translate product requirements into phased engineering specifications
- Own the technical roadmap
- Design and deploy multi-agent workflows
- Automate testing and data quality checks
- Ship product increments and iterate in production
Benefits
- Ground-floor equity
- Remote work