高级后端工程师
Senior Backend Engineer
你对大规模内容聚合、数据处理和存储感兴趣。
我们期望你与他人紧密合作，通过示范提供领导力、代码规范和项目设计。你极具进取心，希望对我们的技术重要部分承担职责，构建稳固的产品体系。你将使用专业的Java技能，设计并构建高负载的网络应用和服务导向系统，用于收集、存储、处理、搜索和可视化大量非结构化文本。在此过程中，你将解决从数据流、存储、聚合到支持API/展示层/数据管道/网络应用的各种工程挑战。你有在OSX和/或Linux环境下开发的经验。
你适应变化。你之前有在初创公司工作的积极经验。仅限美国公民或绿卡持有者。
- Java（5年以上）
- Spring MVC（5年以上）
- NoSQL与关系型数据库（3年以上）
- ElasticSearch或ClickHouse
- Redis
- Spark
- AWS
职责：
- 实现多层可扩展的SaaS架构
- 通过微服务设计和使用RESTful网络服务API
- 调试和排查现有代码库
- 部署并管理云上的应用程序
- 加分项 - 具备以下实际经验：
- NodeJS、Python、Scala
- 机器学习、自然语言处理、统计学
- Bash/unix工具、安全、缓存
- 熟悉安全模式的最佳实践
我们让领域专家掌控数据分析，减少对技术人员的依赖。金融、品牌和公共部门的分析师使用Minsky®（我们的机器学习/自然语言处理平台）在数小时内从互联网规模的非结构化数据中获得独特且可操作的洞察，而无需编写代码。
我们的客户包括金融、医疗保健和公共机构。由两位MIT博士创立的dMetrics，汇聚了全球机器学习和自然语言处理领域的顶尖专家，团队研究成果在学术界获得10,000+次引用。
最初发布于喜马拉雅山
查看英文原文
You are interested in large-scale content aggregation, data processing, and storage.
We expect you to work closely with others and provide leadership, code discipline, and project design by example. You are extremely driven and want to assume ownership over an important part of our technology to build a solid product stack. You will use your expert Java skills to design and build high load web applications and service-oriented systems for collecting, storing, processing, searching, and visualizing very large volumes of unstructured text. In doing so, you will solve a wide variety of engineering challenges, ranging from data flow, to storage, to aggregation, to supporting APIs / presentation layer / data pipelines / web apps. You have experience developing in OSX and/or Linux.
You are comfortable with change. You’ve had positive experience working for a startup before. US Citizens or Green Card holders only.
- Java (5+ yr)
- Spring MVC (5+ yr)
- NoSQL & relational DBs (3+ yr)
- ElasticSearch or ClickHouse
- Redis
- Spark
- AWS
Responsibilities:
- Implement multi-tier scalable SaaS architectures
- Design and consume RESTful web service APIs via microservices
- Debug and troubleshoot existing codebase
- Deploy to and manage apps in the cloud
- Bonus - hands-on experience with:
- NodeJS, Python, Scala
- ML, NLP, statistics
- Bash/unix tools, security, caching
- Familiarity w/security patterns’ best practices
We put subject matter experts in control of data analysis and remove dependency on technical personnel. Financial, brand, and public sector analysts use Minsky® (our ML/NLP platform) to get unique, actionable insights out of Internet-scale volumes of unstructured data - in mere hours, and without writing code.
Our customers include financial, healthcare, and public institutions. Founded by two MIT PhDs, dMetrics includes some of the world's top authorities in machine learning and natural language processing, with 10,000+ citations of our team's work in the academic press.
Originally posted on Himalayas