Senior Backend Software Engineer

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July 8

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Shelf

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SaaS • Enterprise • Artificial Intelligence

Shelf is a company specializing in next-generation knowledge management solutions aimed at improving data quality for enterprises using Generative AI (GenAI). Established in 2017, Shelf helps organizations eliminate bad data in documents to ensure more accurate and trusted GenAI answers. Recognized for its contributions to unstructured data quality management, Shelf assists companies in deploying GenAI with confidence by providing transparency over data sources and offering strategies to prevent poor data from corrupting GenAI outputs. With a reputation for enhancing the quality of content across various industries, their platform is acclaimed by major clients like Amazon, Lufthansa, and the Mayo Clinic for improving knowledge content consistency and accuracy. Shelf's comprehensive technology integrations and readiness solutions support enterprises in overcoming the data quality challenges in AI projects.

51 - 200 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• As a Backend Engineer at Shelf, you will focus on building robust backend services for large-scale data processing. • We use Python (and Node.js) to create data pipelines and handle data from diverse storage solutions. • Your work will center on ensuring data flows efficiently, remains well orchestrated, and can operate seamlessly at scale. • You’ll be tackling complex data ingestion, transformation, and orchestration challenges, building the core infrastructure that powers our platform. • But we're not just moving data; we're focused on solving the crucial data quality problems that underpin successful AI initiatives. • Shelf is uniquely positioned to address these challenges head-on, as we provide data quality solutions and data enrichment capabilities that are key to building accurate and trustworthy AI systems.

🎯 Requirements

• Over 4 years of professional software engineering experience, including more than 1 year specializing in Python. • Deep understanding of distributed systems, concurrency patterns, and ETL-oriented workflows. • Comfortable working with diverse data stores (SQL and NoSQL), including schema design and performance tuning at scale. Experience with cloud-based data lakes and data warehouses is a plus. • Experience with event-driven architectures, distributed processing techniques, CQRS. • Proven experience building scalable backend applications on either AWS or Azure, including a strong understanding of their respective services for compute, storage, and data processing. • Ability to write well-structured, testable code with thoughtful abstractions and interfaces. • Strong problem-solving skills, including the ability to troubleshoot performance bottlenecks and legacy code. • Upper-Intermediate or better English skills for technical communication and documentation. • Any hands-on experience with NLP, unstructured data processing, Node.js/TypeScript, or RAG pipelines is a significant plus. • Ability to effectively present work both verbally and visually, and create clear, well-structured documentation.

🏖️ Benefits

• B2B contract. • Company Stock Options. • Hardware: MacBook Pro. • Modern technical stack. Develop open-source software. • GitHub Copilot subscription. • Access to Claude Code, OpenAI Codex, TypingMind, and MCP Servers.