高级可观测性分析师
Senior Observability Analyst
#### 公司简介
Experian 是一家全球性的数据和技术公司，为世界各地的个人和企业创造机会。我们运营于多个市场，包括金融服务、医疗保健、汽车、农业、保险等。Experian 投资于人才和先进的新技术，以释放数据的潜力。我们在 32 个国家拥有 25,200 名员工。
我们的独特之处在于重视你的价值。Experian 的以人为本、包容性和目标驱动的文化获得了众多奖项的认可——包括 2025 年世界最佳工作场所™（财富全球前 25 强）以及在 26 个国家获得的 Great Place To Work™ 等。请查看 Experian Life 的社交媒体或浏览我们的职业网站，了解原因。Experian 还自豪地成为平等就业机会和积极行动的雇主。
#### 职位描述
**关于该职位**
我们正在寻找一名 **高级可观测性分析师**，负责推动组织可观测性策略的演进，**Datadog 是主要的企业监控和可观测性平台**。
该职位将负责定义标准、推广最佳实践，并确保基于指标、日志、追踪和业务指标的主动方法的实施。该专业人员将致力于构建以可靠性为导向的文化，支持工程、架构、开发、SRE 和运维团队，早期识别风险并持续减少事件。
我们希望找到一位在 Datadog 方面有扎实技术知识的人才，并能够将运营数据转化为具体行动，以提升用户体验、应用稳定性及运营效率。
**主要职责**
- 作为组织内 **Datadog** 平台的技术和功能参考。
- 使用 APM、基础设施监控、日志管理、仪表盘、真实用户监控（RUM）、合成监控和持续测试模块设计、实施和演进可观测性解决方案。
- 定义应用程序、API、微服务和云工作负载的企业可观测性标准。
- 构建和维护执行、操作和分析仪表盘，以跟踪平台健康状况。
- 根据 SLIs、SLOs、SLAs 和业务指标制定主动监控策略。
- 创建、审查和优化使用高级 Datadog 功能的智能监控和警报，以减少运营噪音。
查看英文原文
#### Company Description
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate in diverse markets, such as financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and new advanced technologies to unlock the power of data. We have an incredible team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's people-centric, inclusive, and purpose-driven culture is recognized by numerous awards — including World’s Best Workplaces™ 2025 (Fortune's Top 25 global) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an equal opportunity employer and affirmative action employer.
#### Job Description
**About the opportunity**
We are looking for a **Senior Observability Analyst** to lead the evolution of the organization's observability strategy, with **Datadog as the primary corporate monitoring and observability platform**.
This position will be responsible for defining standards, promoting best practices, and ensuring the implementation of a proactive approach based on metrics, logs, traces, and business indicators. The professional will work on building a reliability-oriented culture, supporting Engineering, Architecture, Development, SRE, and Operations teams in the early identification of risks and the continuous reduction of incidents.
We are looking for someone with strong technical knowledge in Datadog and the ability to transform operational data into concrete actions to improve user experience, application stability, and operational efficiency.
**Key responsibilities**
- Act as the technical and functional reference for the **Datadog** platform within the organization.
- Design, implement, and evolve observability solutions using APM, Infrastructure Monitoring, Logs Management, Dashboards, Real User Monitoring (RUM), Synthetic Monitoring, and Continuous Testing modules.
- Define corporate observability standards for applications, APIs, microservices, and cloud workloads.
- Structure and maintain executive, operational, and analytical dashboards to track platform health.
- Develop proactive monitoring strategies based on SLIs, SLOs, SLAs, and business indicators.
- Create, review, and optimize intelligent monitors and alerts using advanced Datadog features to reduce operational noise and false positives.
- Support development teams in instrumenting applications using OpenTelemetry and native Datadog integrations.
- Conduct root cause analysis (RCA) of critical incidents and propose structural actions to prevent recurrences.
- Identify opportunities for automation, failure prediction, and self-healing initiatives.
- Develop training, playbooks, standards, and documentation related to the Datadog platform.
- Perform periodic analyses of capacity, performance, availability, and end-user experience.
- Act as a transformation agent in disseminating a culture of observability and operational excellence.
#### Qualifications
**Required Qualifications**
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related fields.
- Advanced experience with Datadog, working in implementation, administration, and platform evolution.
- Practical experience with:
- Datadog APM
- Datadog Infrastructure Monitoring
- Datadog Logs Management
- Datadog Dashboards
- Datadog Monitors
- Monitoring Service Catalog
- Advanced knowledge of observability pillars: Logs, Metrics, Distributed Tracing
- Experience in observability for APIs and microservices architectures.
- Experience with AWS environments.
- Experience in troubleshooting and investigating complex incidents.
- Knowledge of OpenTelemetry and application instrumentation.
- Knowledge of automation using Python, Shell Script, or PowerShell.
- Experience with Kubernetes, Docker, and cloud-native ecosystems.
- Solid knowledge of system availability, performance, scalability, and reliability.
- Ability to translate technical indicators into business impacts.
- Excellent communication and ability to work with multiple stakeholders.
**Desirable**
- Datadog Certified Associate certification or higher.
- Experience with SRE (Site Reliability Engineering) practices.
- Experience in implementing observability strategies for large-scale distributed environments.
- Knowledge of CI/CD and DevSecOps.
- Experience with incident response automation and self-healing processes.
- Experience in operational governance, incident management, Problem Management, and ITIL processes.
- Previous experience with tools such as Dynatrace, Grafana, Prometheus, Elastic Stack, or Zabbix.
**Expected profile**
We are looking for someone who has: A passion for observability and system reliability. An investigative profile oriented toward solving complex problems. A strong sense of ownership and operational responsibility. Ability to influence technical teams in adopting best practices. A data-driven and continuous improvement mindset. A systemic view to correlate technical events with business impacts. A collaborative, consultative profile with the ability to train other teams. Position highlights: Be a protagonist in defining the corporate observability strategy. Act directly on the evolution of the organization's operational maturity. Lead initiatives for automation, intelligent observability, and incident reduction. Influence engineering and reliability standards used by multiple teams. Work in a high-visibility environment with business impact. Participate in building an increasingly proactive, data-driven operation based on operational excellence.
Job summary in one sentence: We are looking for a Datadog expert capable of transforming observability into an operational advantage, reducing incidents, increasing platform reliability, and disseminating a culture of proactive, data-driven monitoring.
#### Additional Information
This is an affirmative position for women, as part of our commitment to advancing gender equity in the workplace.
Serasa Experian invests in female leadership and has a partnership with TODAS Group. Additionally, we adhere to the 'Elas Lideram 2030' movement, and we have joined UN Women to reduce gender inequality by 2030!!
We also have the Women in Experian group, which seeks to improve gender equity for women by creating development opportunities, different perspectives, skills, among others.
Come be part of this transformation!
If you do not identify with this group, we invite you to explore other opportunities on our careers page. We have several vacancies that may connect with your profile and interests.
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