Senior Engineer - Data Solutions
责任：· 为项目做准备，与客户讨论目标和期望以及建筑规范 · 研究项目所需的最佳实践或组件 · 使用 Kubernetes 基于部署模式技术提供 Elastic 和 Kafka 解决方案。·设计，开发和集成 Elastic&Kafka 产品和 API,平台架构和能力计划在关键环境中 ·监测，升级，补丁和支持 Elastic & Kafka 部署。·跟踪支持桌面和项目任务中的门票。·建立与客户密切关系。·编写或编辑文档和知识基础。·数据建模，查询开发和优化，集群调整和扩展 ·解决客户的数据挑战 ·使用头盔进行自动化的我们的解决方案 ·与销售和预售团队合作以帮助解决方案范围定位并识别技术风险或问题 ·通过完成产品堆上的认证来提高你的技能。·在高度分布式的团队中舒适地远程工作要求：·实践经验和了解 Elasticsearch 和/或 Lucene OR Apache Kafka. 拥有两者都将是奖励。·有生产中的大数据构建和运营经验，流处理，可观察性和/或企业数据集成解决方案 · 软件工程师，系统管理员或 DevOps 工程师至少2年的经验 · 对信息检索和/或分析领域的知识 · 在容器环境中部署企业系统的理解，最好是 Kubernetes. · 从建筑和工程角度操作 Linux · 与大型分布式系统实践经验 · 有能力明确简洁地解释复杂问题和解决方案的良好沟通技能 · Excel 与客户直接合作以收集，优先考虑，计划和执行客户商业需求的解决方案 · 了解和热情开源技术 ·帮助客户在关系性数据库，NoSQL 数据库以及消息队列及相关产品之际构建 Apache Kafka 解决方案的经验
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Responsibilities:
- Prepare for projects, discussing the goals and expectations with the customer and building specifications
- Researching best practices or components required for projects
- Technical delivery of Elastic and Kafka solutions using Kubernetes based deployment models.
- Solution design, development, and integration of Elastic & Kafka products and APIs, platform architecture, and capacity planning in mission-critical environments
- Monitor, upgrade, patch and support Elastic & Kafka deployments.
- Track tickets in support desk and project tasks in project boards.
- Build strong relationships with customers.
- Writing or editing documentation and knowledge bases
- Data modeling, query development and optimization, cluster tuning and scaling
- Solving customers data challenges
- Engineering our solutions for automation using helm
- Engaging with our Sales and Pre-Sales teams to assist with solution scoping and identifying technical risks or concerns
- Honing your skills by completing certifications on our product stacks.
- Comfortable working remotely in a highly distributed team
Requirements:
- Hands-on experience and an understanding of Elasticsearch and/or Lucene OR Apache Kafka. Having both would be a bonus.
- Experience building and operating in-production Big Data, stream processing, observability and/or enterprise data integration solutions
- Minimum of 2 years experience as a Software Engineer, System Administrator, or DevOps Engineer
- Knowledge of information retrieval and/or analytics domain
- An understanding of deploying enterprise systems in a containerised environment, preferably Kubernetes.
- Experience operating Linux
- Hands-on experience with large distributed systems from an architecture and engineering perspective
- Good communication skills, with an ability to clearly and concisely explain tricky issues and complex solutions
- Excel at working directly with customers to gather, prioritize, plan and execute solutions to customer business requirements as it relates to our technologies
- Understanding and passion for open-source technology
- Experience helping customers build Apache Kafka solutions alongside relational and NoSQL databases, message queues, and related products
Originally posted on Himalayas