Data Systems Engineer

ALL ROLES Programmable Compliance Infrastructure for Tokenized Asset Markets Data Systems Engineer Own the technical architecture and delivery of Bluprynt's compliance data platform. Hands-on. Ship product daily. Remote · EST hours Full-Time Reports to CEO / Founder

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THE OPPORTUNITY Building the compliance data platform for tokenized assets Bluprynt is the Compliance OS for digital assets—the enterprise-grade infrastructure layer linking off-chain compliance with on-chain identity, policy, and supervisory visibility. Trusted by leaders across TradFi and DeFi and built in close alignment with central banks and regulators worldwide, Bluprynt helps issuers, banks, and market participants meet regulatory expectations without sacrificing the speed and modularity of on-chain systems. The company completed the EU's first MiCA pilot, launched Know Your Issuer (KYI) with Paxos and Circle, partnered with Chainlink on automated on-chain compliance enforcement, and closed an oversubscribed $4.25M Seed round in 2026. We are hiring a Data Systems Engineer to own the technical architecture and delivery of our data platform. This is a hands-on role. You will write code daily, design systems, and ship product—while translating complex regulatory and product requirements into clean, scalable engineering solutions. Strong English communication skills and the ability to work core EST hours are required. WHAT WE ARE LOOKING FOR The bar Must-Have: Technical Foundation Python (primary) and TypeScript / Node.js Exceptional Python engineering for data-intensive systems; Node.js/TypeScript for backend services, async patterns, and API design at scale. PostgreSQL schema design Relational modeling for multi-tenant compliance data, indexing strategy, migration workflows. API integration architecture Designing polling, webhook, and event-driven pipelines across multiple external providers (think: RWA.xyz, TRM Labs, CipherOwl, Chainlink, GLEIF). Multi-source data ingestion & pipeline architecture Designing and building ETL/ELT architectures that ingest from multiple heterogeneous sources (APIs, databases, documents, on-chain feeds), process both structured and unstructured data, and execute customizable computation logic with scheduling, retries, and observability. Schema design for structured vocabularies Versioned taxonomies, controlled vocabularies, or ontology-like systems with cross-reference resolution. Must-Have: Blockchain & Web3 Smart contract interaction Reading and writing to on-chain registries, understanding gas mechanics, transaction lifecycle, and multi-chain deployment patterns. On-chain registry design Credential issuance/revocation, attestation hash anchoring, IPFS metadata storage. Must-Have: Leadership Managing external or embedded engineering teams Influence without direct authority, expectation setting, code review culture, knowledge transfer. Product-to-engineering translation & technical roadmap ownership Exceptional ability to decompose ambiguous product requirements into precise, phased engineering specifications; scope negotiation, dependency mapping, and shipping increments with clarity. Startup velocity Comfort with ambiguity, bias toward shipping V1 with known limitations, iterating in production. Must-Have: AI Literacy & Automation AI agent orchestration & workflow automation Actively using LLMs, AI agents, and orchestration frameworks (e.g. LangChain, LangGraph, CrewAI, or similar) to build faster with equal or better quality; must be able to design and deploy multi-agent workflows as a core part of the development process. AI-assisted testing & quality automation Leveraging AI tools to automate test generation, validation pipelines, and data quality checks; comfort using AI to accelerate development cycles without sacrificing reliability. Strong-to-Have Regulatory or compliance technology experience (KYC/AML, regulatory reporting, credential/certification systems). LLM integration for structured data extraction, taxonomy suggestion, confidence-scored classification, and RAG or retrieval-augmented systems for domain-specific knowledge bases. Multi-chain experience beyond EVM (Solana, Aptos, Stellar, Avalanche). RAG or retrieval-augmented systems for domain-specific knowledge bases. Experience with institutional custody platforms (Fireblocks, BitGo) or MPC/multi-sig architectures. AWS infrastructure (ECS/EKS, RDS, Lambda, SQS) and infrastructure-as-code. OUR STACK What you'll work with CURRENT TypeScript, Node.js, PostgreSQL, Heroku (migrating), multiple on-chain adapters (Solana SAS, EAS, Base, Plume, Sepolia, Aptos, Avalanche, Stellar). TARGET AWS (ECS/EKS), PostgreSQL, Redis, Chainlink ACE integration, 3rd-party form builder integration. You will have significant influence over architectural decisions as we transition from the current stack to the target architecture. WHAT WE OFFER The offer Ground-floor equity in a company building critical infrastructure for a multi-trillion-dollar market transition. Direct impact: your architectural decisions become the system that regulators, issuers, and exchanges depend on. A founder who has already mapped the compliance domain in depth—you are not figuring out the product alone. Autonomy to shape the engineering org, stack, and culture from the earliest stage. Competitive salary commensurate with experience (discuss in initial screen). CLOSING THOUGHT Bluprynt is building the compliance metadata foundation that makes credentials trustworthy. Credentials are the enforcement layer. Compliance metadata is the evidence layer. We link the two. Ready to apply? Send your resume and a brief note on what excites you about this problem to View email address on click.appcast.io . APPLY FOR THIS ROLE #J-18808-Ljbffr Flourish Ventures