出海雷达

高级站点可靠性工程师(远程,墨西哥)

Sr. Site Reliability Engineer (Remote, Mexico)

开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司IO Connect Services
薪资未公开
工作地点Mexico
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型Full Time
发布时间3 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 Mexico 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

IO Connect Services 是一家 AWS 高级服务合作伙伴和 Datadog 合作伙伴,致力于在全球范围内交付复杂且架构良好的技术解决方案。自 2016 年成立以来,我们的专业人员致力于与客户和商业伙伴建立并维护信任,以实现长期合作关系。
职位概述:
随着客户部署的扩展,我们正在寻找一位经验丰富的 SRE。我们特别希望找到一位有新想法和独特视角的人,喜欢与跨职能团队合作,为每一次互动开发实际解决方案和积极的用户体验。
职责
负责在多个数据中心设计、构建、维护和扩展生产服务和服务器农场,以支持复杂和数据密集型云服务。
设计和优化软件架构,以提高可扩展性、服务可靠性、容量和性能。
编写自动化代码,用于大规模配置和操作基础设施。你不是运维人员,而是一位专注于运维的资深软件工程师。
与开发团队合作,确保应用程序能够很好地融入基础设施,并从一开始就设计和实现可扩展性和可靠性。你将与 QA 团队合作,构建管道和自动化流程,将应用程序交付和部署到生产环境。
亲自参与故障排查,提出理论并测试你的假设,缩小可能性以找到根本原因。
撰写事后分析报告和补救建议。
在问题出现之前识别不良趋势;有效处理自动化系统警报,解决系统错误和工作事件,使系统恢复到正常运行状态。
编写和更新所有相关规范、系统和流程的高质量文档。
支持并遵守公司的质量管理体系政策和程序。
所需技能和资格
计算机科学或相关专业的学士学位(或同等学历)
了解 IaC 技术,如 Terraform、Ansible、Puppet、Chef
了解通过 Kubernetes 创建和管理集群
了解 Microsoft Azure、AWS、Google Cloud、Azure 服务、Azure 中的虚拟机、虚拟网络配置
了解设计模式,如 IaaS、PaaS 和 SaaS
了解 CI/CD
具备 PowerShell 脚本知识

查看英文原文

About IO Connect Services:

IO Connect Services is an AWS Advanced Tier Services Partner and Datadog Partner with a commitment to delivering complex and well-architected technical solutions worldwide. Founded in 2016, our professionals are dedicated to establishing and maintaining trust with our clients and business partners for long-term relationships.
Position Overview:
As we expand customer deployments, we’re seeking an experienced SRE. Specifically, we’re searching for someone who has fresh ideas and a unique viewpoint, and who enjoys collaborating with a cross-functional team to develop real-world solutions and positive user experiences for every interaction.
Responsibilities
Responsible for designing, building, maintaining, and scaling production services and server farms across multiple data centers for complex and data-intensive cloud services.
Design and enhance software architecture to improve scalability, service reliability, capacity, and performance.
Write automation code for provisioning and operating infrastructure at massive scale. You are not an operator, you’re an experienced software engineer focused on operations.
Work with development teams to make sure the applications fit nicely within the infrastructure and scalability/reliability is designed and implemented from the grounds up. You will work with QA on building pipelines and automation for delivering and deploying applications to production.
Roll up the sleeves to troubleshoot incidents, formulate theories and test your hypothesis, and narrow down possibilities to find the root cause.
Write postmortem reviews and remediation recommendation.
Identify bad trends before they become problems; respond to automated system alerts, effectively troubleshoot system errors and work incidents to return systems to normal operating conditions
Author and update high-quality documentation of all relevant specifications, systems and procedures
Support and comply with the company’s Quality Management System policies and procedures.
Required skills and qualifications
Bachelor’s degree (or equivalent) in computer science or related discipline
Knowledge of IaC technologies such as Terraform, Ansible, Puppet, Chef.
Knowledge of Cluster creation and management through Kubernetes
Knowledge of Microsoft Azure, AWS, Google Cloud, Azure services, Virtual Machine in Azure, Virtual Network Configuration.
Knowledge in design patterns such as: Iaas, Paas, and Saas
Knowledge in CI/CD
Scripting knowledge with PowerShell
IPs and Mask knowledge
Ability to program (structured and OOP) using one or more high-level languages, such as Python, Java, C/C++, Ruby, and JavaScript
Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, as well as dynamic resource management frameworks (Apache Mesos, Kubernetes, Yarn)
Proactive approach to identifying problems, performance bottlenecks, and areas for improvement
What we offer:
Base Salary and permanent contract directly with the company
Continuous training plan with paid certifications
Carreer plan according to your development and knowledge
Benefits above the law: 12 days of Paid Time Off, 30 day Christmas Bonus, Medical Insurance, Life Insurance, Savings Fund, Groceries Bonus
Quarterly Performance Bonus
Computer equipment for your work
Optional 100% Home Office
Originally posted on Himalayas

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