寻找你的下一个职业机会

按职位、技能和地点搜索招聘信息。准备申请前,先仔细了解职位要求。

找到一个吸引人的职位名称只是求职的起点。请将工作职责、招聘要求和工作条件与你的实际经历进行比较。本指南帮助你筛选机会、准备有针对性的申请材料,并确认每份申请应该在哪里提交。

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

清除筛选

搜索结果: 14,202

← 返回搜索结果

Remote Senior Backend Engineer

Pearl Talent

远程工作

地点
Remote (Dominican Republic, Honduras)
工作安排
Full Time
发布日期
2026年10月17日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

Work From Anywhere in LATAM Work Schedule: EST | Full overlap with US Eastern business hours About Pearl Talent Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. Hear why we exist, what we believe in, and who we’re building for: Watch here About the Client A seed-stage healthcare data company is building the central source of payer policy data behind coverage decisions, and is looking for a Senior Backend Engineer to own its data infrastructure end to end. The company collects and structures more than 100,000 medical policies from over 100 insurance payers, using AI to turn complex payer rules into searchable data for customers. It is backed by healthcare accelerators and the National Institutes of Health, recently signed a commercial partnership, and is now scaling its applied AI systems. About the Role Day to day, you will scale the web scraping platform, build LLM workflows that pull medical codes and coverage rules out of policy text, and improve the reliability of scraper jobs and deployments. As technical lead, you will review code and make architectural decisions for part-time and offshore engineers, without managing people directly. Success means reliable scraper jobs, automated testing and deployment, and structured data accurate enough for customers to act on. Core Responsibilities Web Scraping Infrastructure Build and scale the platform used to develop scrapers that collect policy data from 100+ payers Improve scraper reliability and throughput without reducing data accuracy Own the scraper pipeline from ingestion through storage LLM Data Normalization Build LLM workflows that convert unstructured policy text into structured, searchable records Infer and tag related medical codes (CPT, ICD-10) from policy language Classify procedure coverage status (covered or not covered) by payer Build evaluation and testing harnesses to measure and track output accuracy CI/CD and System Reliability Build and maintain CI/CD pipelines for testing and deploying scraper jobs Monitor job failures, diagnose root causes, and ship fixes Review pull requests from part-time and offshore engineers Document architectural decisions and share them with the engineering team APIs and Data Product Design and maintain APIs that serve normalized policy data to customers Support the Snowflake-based data product used by customers Join occasional customer calls to understand feature requirements Requirements Must-Have 5+ years of backend engineering experience building production systems in Python Production experience with SQL and PostgreSQL for storing and querying large datasets Experience building pipelines that ingest, clean, and normalize messy or unstructured data Hands-on experience deploying and running backend services on AWS, GCP, or Azure Experience reviewing code and owning architectural decisions on a shared codebase English at C1 (CEFR) for daily video calls and technical discussions with US-based founders Nice-to-Have Experience building LLM-based extraction or classification with evaluation harnesses (OpenAI, Anthropic, LangChain, or similar) Web scraping at scale with Scrapy, Playwright, or similar frameworks Experience with RAG (Retrieval-Augmented Generation) pipelines Hands-on use of Terraform, FastAPI, or Snowflake Exposure to healthcare payer policy data, medical coding (CPT, ICD-10), or prior authorization Benefits Competitive Salary: Based on experience and skills Remote Work: Fully remote—work from anywhere Team Incentives: Recognition for maintaining 100% CRM hygiene and on-time reporting Generous PTO: In accordance with company policy Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees Direct Mentorship: Guidance from international industry experts Learning & Development: Ongoing access to resources for professional growth Global Networking: Connect with professionals worldwide Our Recruitment Process Application Screening Skills Assessment Topgrading Interview Client Interview Job Offer Client Onboarding Ready to Join Us? If you’re empathetic, organized, and passionate about improving patient experiences through operational excellence, this role is for you. Apply now to help make specialized healthcare more accessible to patients across the U.S. Originally posted on Himalayas

查找职位、比较要求,再准备申请

从你希望从事的职位或运用的技能开始搜索。调整地点和职业筛选,打开职位比较工作职责。如果没有结果,可以使用更短的关键词,或逐一移除筛选条件。

区分必备要求和优先条件,检查已列出的工作安排、薪资和地点。远程职位也可能要求特定居住国家、工作许可或工作时间重合。请向雇主确认职位信息和完整条件。

选择能够回应职位要求的真实经历,说明你的贡献,只使用能够证实的数字。遵循雇主的申请说明,并在提交前检查联系方式、文档内容和 PDF。

提交申请前的检查清单

求职常见问题

为什么有些职位使用英文?

职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

远程职位是否允许从任何国家工作?

不一定。企业可能对居住国家、工作许可或工作时段有要求。请查看原始招聘页面中的具体条件。如果未说明,应先向企业确认,再判断能否从你所在的地区工作。“远程”标签本身并不代表没有地点限制。

搜索没有结果时应该怎么办?

尝试更通用的职位名称或单个技能,并逐一移除筛选条件。不同企业可能用不同名称描述相似工作。如果某个职位已经消失,请在企业招聘页面搜索其职位编号。扩大搜索范围不会让已经关闭的职位重新开放。

申请会通过 ResumizeAI 直接提交吗?

申请按钮会打开外部网站。请按照企业或招聘服务的说明,在该网站完成并确认提交。在 ResumizeAI 中准备简历并不等于已经申请职位。如果链接只打开企业网站,请先找到对应职位,再继续申请流程。

如何针对职位调整简历和求职信?

将招聘要求与能够解释清楚的项目、任务和成果联系起来。突出相关经历,不要添加未经实际掌握的技能或虚构成绩。在求职信中用具体例子说明申请动机,并遵守企业要求的语言和文件格式。提交前检查两份文件,确保内容准确、联系方式正确、链接可用。