Platform Engineer, Hebbia

• We value engineers who think on their feet, innovate and can solve for exponential scale
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• A strong academic background with coursework in data structures, algorithms, and software development is preferred
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering
• Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go
• Deep understanding of scalable system design, performance optimization, and resilience engineering
• Extensive experience with cloud platforms (e.g., AWS)
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis
• Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect
• Proven experience enabling observability patterns
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders
• Proven experience in leading software development projects and collaborating with cross-functional teams
• Strong interpersonal and communication skills to foster a collaborative and inclusive work environment
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies
• Autonomous and excited about taking ownership over major initiatives

Desirable

• The Document Intelligence team at Hebbia builds cutting-edge AI solutions that transform how users discover and interact with billions of private and public documents
• Our products, including the Hebbia’s Browse application, enable intelligent document exploration, powerful search capabilities, and deep insights extraction
• We focus on developing advanced data ingestion and search technologies that deliver intuitive, explainable, and highly responsive experiences
• Working closely with customers, our team continuously iterates to address real-world challenges and drive impactful, data-driven decisions
• Our goal is to empower users by seamlessly turning vast and complex document repositories into actionable intelligence
• Platform engineering at Hebbia is about excellent, scalable enablement
• You are responsible for the core distributed systems that power billions of tokens across millions of dollars of AUM
• You will be responsible for deploying efficient systems and building software tightly coupled with state of the art infrastructure/system design
• Hebbia’s edge is built on operating on the edge of the tokenomics curve and you will serve as a key contributor in this area
• Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs
• Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume
• Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents
• Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth