Company Description
Pristine Data AI is revolutionizing the go-to-market (GTM) landscape by eliminating the need for multiple sales tools. Our all-in-one platform streamlines the sales process by enabling natural language search for prospects, data enrichment from various sources, and AI-driven personalized outreach. We empower sales teams to identify real-time buying signals, accelerate deals, and achieve pipeline growth. With our innovative approach, we help businesses save time and close more deals effectively.
Role: Senior Software Engineer (Data Architecture & Backend)
Position Overview:
We are seeking a high-calibre Senior Software Engineer with a specialized focus on Data Architecture and Systems Design. This role is designed for a technical expert who bridges the gap between robust Backend Engineering and Database Administration. You will be the primary custodian of our data ecosystem—spanning RDBMS, NoSQL, and emerging Vector technologies—ensuring high availability, performance, and scalability.
The ideal candidate possesses a deep mastery of Node.js and traditional database systems, coupled with a proactive appetite for mastering the infrastructure supporting modern AI and LLM workflows.
Responsibilities
- Architectural Ownership: Design and oversee a multi-paradigm data strategy, managing high-performance RDBMS (PostgreSQL/MySQL) and NoSQL (MongoDB/Elasticsearch) environments.
- High-Scale Backend Engineering: Develop and maintain mission-critical services using Node.js/TypeScript, ensuring high-throughput and low-latency interaction with the data layer.
- Data Orchestration & ETL: Engineer and optimize scalable ETL/ELT pipelines, ensuring seamless data synchronization across production, analytical, and search environments.
- Vector Store Evolution: Lead the implementation and scaling of Vector Databases (e.g., Pinecone, Milvus, or pgvector). While prior experience is a plus, we value the ability to research, benchmark, and deploy these systems into production.
- Performance Engineering: Conduct advanced query optimization, indexing audits, and database tuning to support data-intensive applications.
- Systems Integrity: Define and implement protocols for data security, backups, and disaster recovery to meet enterprise-grade compliance standards.
Professional Qualifications
- Experience: 6+ years of professional experience in Backend Software Engineering with a proven track record in Database Administration (DBA) or Data Engineering.
- Technical Stack:
- Backend: Expert proficiency in Node.js or Python
- Relational: Mastery of SQL, schema design, and performance tuning.
- Non-Relational: Deep experience with NoSQL architectural patterns and distributed systems.
- The Growth Mindset: A demonstrable interest in AI infrastructure. You should understand the conceptual basics of embeddings and be prepared to lead our Vector Store strategy.
- Tooling: Proficiency in modern DevOps practices, including Docker, CI/CD, and cloud-native data services (AWS/GCP/Azure).
