【Job Board】Developer of Kubernetes Operator

bluetata
领域专家: 云计算技术领域
2023-02-16 14:50:33

We are looking for a Go Developer with advanced Kubernetes skills to work in a team focused on Kubernetes and Cloud Native products. Ideal candidates will take pride in writing readable, well-designed and tested software and prefer simple solutions over complex ones.

**Candidates: This role is 100% remote and we are looking for candidates located in EU and/or U.S.

Your Impact:

  • Work in our Cloud Native Core team, designing and developing Kubernetes operators to manage PostgreSQL clusters in public, private, and hybrid cloud environments supporting declarative configuration and immutable infrastructure paradigms. This also includes the open source CloudNativePG operator.
  • Be part of a team that owns all phases of the product development life cycle, from conception to delivery to customers, including support if required. Build quality and security directly into the product, by taking advantage of automated testing and CI/CD pipelines.
  • Collaborate with engineering teams across the world, mentor and share information with other engineers and help drive continuous improvement for our platform, without losing focus on the flow that generates customers’ value.

Your Technical Profile:

  • 4+ years experience in a software engineering position
  • Solid experience with Kubernetes Operators development in Go language (controller-runtime)
  • Solid Experience with Kubernetes API programming (event driven)
  • Good written and spoken English Language skills

Plusses

  • Direct contribution to CloudNativePG or other Open Source projects in the Cloud Native operators landscape
  • Advanced experience with Kubernetes administration, preferably with relevant certifications from CNCF such as Certified Kubernetes Administrator and Certified Kubernetes Security
  • Expertise with PostgreSQL administration
  • Experience with vendor-supported container orchestration platforms, both public (such as EKS, AKS and GKE) and private (such as Red Hat OpenShift, Rancher, or Tanzu)

Additional Application Instructions

Part of the interview process will be developing a simple Kubernetes operator in Go. This will be the take home exercise if we decide to move you forward.

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源码链接: https://pan.quark.cn/s/a4b39357ea24 在本研究中,我们将详细研究如何借助Python执行数据可视化,旨在剖析2018年期间中国四个主要城市——北京、上海、广州以及深圳的空气质量状况。通过绘制反映空气质量指数(AQI)与细颗粒物(PM2.5)变化趋势的图表,我们能够深入理解这些大都市全年的空气环境质量,并明确评估其优良天气所占的比重。 我们必须首先进行数据准备工作。在当前提供的压缩文件内,名为"2018天气"的文件极有可能是数据来源,其中可能收录了涉及四个城市每日空气质量监测的详细信息。这些数据通常涵盖日期、城市名称、AQI数值、PM2.5含量等核心参数。在Python编程环境中,我们惯常运用pandas库来对这类结构化数据进行高效的处理和分析。 1. **数据导入与初步处理**: - 利用`pandas.read_csv()`方法来导入存储为CSV格式的数据资料。 - 数据整理:对数据中的空白项、非正常数值进行修正,保证数据的精确性。 - 调整日期字段的格式,确保其能够适用于时间序列分析的需求。 2. **数据深度分析**: - 针对每个城市的AQI和PM2.5数据执行统计性描述,例如计算平均值、中位数、标准偏差等指标。 - 确定空气质量良好天气的天数,即那些AQI值低于75(依据中国的空气质量评估标准)的日数。 3. **数据呈现**: - 运用matplotlib或seaborn工具绘制折线图,直观展示四个城市在2018年全年的AQI和PM2.5变化动态。 - 可通过采用不同的颜色方案和线条类型来区分不同城市的数据系列。 - 添加必要的图示元素,如日期坐标轴、城市名称标注、图表标题及图例说明,以提升图表的可读...

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