> Markdown version of [/jobs/ext/1469830-platform-engineer-document-intelligence](https://www.wearedevelopers.com/jobs/ext/1469830-platform-engineer-document-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer, Document Intelligence - **Company:** HEBBIA INC. - **Location:** New York, United States - **Experience:** Expert - **Salary:** $160,000.0 - $350,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Data Structures, Cursor (Graphical User Interface Elements), Distributed Systems, Elasticsearch, Python (Programming Language), PostgreSQL, Performance Tuning, Redis, Software Construction, Software Engineering, Workflow Management Systems, Apache Zookeeper, Backend, Information Technology, Apache Kafka - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/182ffc74-6ab5-4a45-b78e-407785c4ed3d ## About the Role * 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 * Bonuses: + Experience building distributed systems leveraging technologies such as etcd or Apache Zookeeper. + Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc). ## Description 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. We value engineers who think on their feet, innovate and can solve for exponential scale., 1. Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs. 2. 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. 3. 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. 4. Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)