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: 14,306

← 返回搜索结果

AWS Engineer [Zeal]

Livefront

远程工作

地点
Remote (Peru)
工作安排
Full Time
发布日期
2026年10月18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。

Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront. We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding AWS Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are an experienced cloud engineer who understands that operating reliable systems starts with understanding what those systems are doing. You bring deep AWS expertise and have designed observability solutions that give engineering teams meaningful visibility into the health, performance, and behavior of complex applications and infrastructure. You are comfortable working across metrics, logs, traces, dashboards, alerting, and instrumentation, and you know how to turn telemetry into actionable insights, not noise. You communicate clearly with development teams and stakeholders, approach reliability problems methodically, and thrive in a consulting environment where technical environments, clients, and priorities change. What you will be doing Design and implement observability strategies for applications, infrastructure, containers, and distributed systems running in AWS. Build monitoring, logging, tracing, alerting, and visualization solutions using AWS services such as CloudWatch, X-Ray, OpenSearch, Managed Service for Prometheus, and Managed Grafana. Instrument applications and services using OpenTelemetry and other modern observability standards and frameworks. Build meaningful dashboards, alerts, SLIs, and SLOs that help teams identify performance and reliability issues before they impact users. Partner with other engineers to improve observability throughout the software development and deployment lifecycle. Design and manage scalable AWS infrastructure using infrastructure-as-code and cloud-native technologies such as Terraform, Docker, Kubernetes, ECS, and EKS. Analyze production incidents using metrics, logs, and distributed traces to identify root causes and recommend improvements. Help clients improve the performance, reliability, scalability, and cost-effectiveness of their AWS environments while documenting reusable observability patterns and practices. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table Deep hands-on experience designing, building, and operating production environments in AWS across core infrastructure, networking, security, and container services. Strong experience designing observability solutions across metrics, logs, traces, dashboards, alerting, and application performance monitoring. Hands-on experience with AWS services such as CloudWatch, X-Ray, OpenSearch, Managed Prometheus, and Managed Grafana, along with OpenTelemetry and tools such as Prometheus, Grafana, Datadog, Dynatrace, New Relic, or Splunk. Experience defining SLIs, SLOs, and alerting strategies and using telemetry to troubleshoot incidents, perform root cause analysis, and improve system reliability. Experience with infrastructure-as-code and cloud-native technologies such as Terraform, Docker, Kubernetes, Amazon ECS, or Amazon EKS. Strong scripting and automation skills using languages such as Python, Bash, or PowerShell. Excellent written and verbal communication skills and the ability to explain complex infrastructure, reliability, and observability concepts to technical and non-technical stakeholders. Bonus points if you… Hold relevant AWS certifications, such as AWS Certified Solutions Architect or DevOps Engineer Have experience designing observability solutions for large-scale distributed systems or microservices architectures. Have experience with SRE, incident management, production operations, or optimizing telemetry volume and observability costs at scale. Have a background working directly with clients in a consulting or professional services environment. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human. 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。