Backend Platform Engineer
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Requirements
• Strong platform engineering background with proficiency in Python. • Solid grasp of algorithms, data structures, and performance optimization. • Experience or eagerness to learn and experiment with graph databases (Neo4j, TigerGraph) and query languages (Cypher, Gremlin) is a plus. • Familiarity with large language models (LLMs) or knowledge graphs is beneficial but not required. • Comfortable in a fast-paced startup environment, adapting quickly and collaborating across diverse teams. • Effective communicator, able to navigate ambiguity and drive impactful solutions. • You default to collaborative action and are comfortable driving change. • Excitement about teaching yourself new tools and methodologies in a rapidly changing space.
Responsibilities
• Design and optimize backend systems for processing and analyzing complex data structures. • Collaborate with cross-functional teams (engineering, product, go-to-market) to turn technical solutions into business impact. • Implement and maintain pipelines for data querying and management. • Contribute to information extraction and relevance techniques, such as Retrieval-Augmented Generation (RAG). • Stay current on emerging technologies (graph databases, ML/AI, large language models) and bring innovative solutions to the team.
Benefits
• For cash compensation, we set standard ranges for roles based on function and level, benchmarked against similar-stage growth companies. Our job titles may span more than one career level. Exact compensation may vary based on skills, experience, degree level, and location. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Tell us what excites you most about this role, especially specific technologies?