事件经理
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Incident ManagerDatabricks · 美国 · From 1
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- 新的雇主官方职位
- 已披露薪资
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分数构成
- 时效性 （随职位发布时间变化）+18
- 雇主官方来源+15
- 已披露薪资+15
- 稀有职位+11
- 公司来源健康度+8
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职位描述
机器翻译事件经理
美国远程
CSQ127R151
在 Databricks，我们热衷于赋能数据团队解决全球最具挑战性的问题——从将下一代交通工具变为现实，到加速医学突破的研发。我们通过构建和运营全球最佳的数据与 AI 基础设施平台来实现这一目标，让我们的客户能够利用深度数据洞察并提升其业务。我们由工程师创立——并且以客户为中心——我们抓住每一个机会应对技术挑战，从设计与数据交互的下一代 UI/UX，到在数百万台虚拟机上扩展我们的服务和基础设施。而我们才刚刚开始。
作为事件经理，你将领导 Databricks 最关键的生产事件，同时向客户、高管和工程师提供清晰、准确且及时的沟通。你将同时担任事件指挥官和可靠性工程师；协调多团队响应，推动实时状态更新，并与工程团队合作分析和预防故障。你的工作将确保 Databricks 不仅保持技术韧性，还能在重大影响事件期间保持客户和利益相关者的信心。
该职位结合了运营领导力、技术系统知识和卓越的沟通技能。你将处于工程深度与运营清晰度的交汇点，确保每一个重大事件都以精准、透明和持续改进的方式得到管理。
你在这里将产生的影响：
• 领导关键事件——协调 Databricks 基于云的服务的多学科响应工作，以快速减轻影响并恢复运营。
• 推动技术根因分析和可靠性改进：
• 与工程团队合作，追踪并记录跨分布式系统、服务和数据存储的根本原因。
• 总结关键经验教训，清晰传达行动事项，并确保技术和流程改进得到落实。
• 在事件期间负责沟通——向内部利益相关者（高管、工程领导层、支持团队）提供频繁、高质量的更新，并撰写和发布准确、及时且富有同理心的面向客户的通知。
• 在事件沟通和技术响应方面指导和培训同事，以提升 Databricks 事件响应的整体质量。
我们在寻找什么：
• 5 年以上事件管理、站点可靠性工程或支持大规模云原生系统的生产运营经验。
• 已证明有能力领导和协调高严重性事件，包括识别影响、隔离故障域以及管理多团队响应工作。
• 对云基础设施（AWS、Azure 或 GCP）有深入理解——包括计算、网络、存储和可观测性组件。
• 在日志分析和调试方面有深厚专业知识：
• 熟悉日志聚合和搜索工具（例如 Datadog、Elasticsearch、Splunk、Cloud Logging 或 OpenTelemetry）。
• 具有可观测性系统的实操经验——指标、日志和追踪框架（Prometheus、Grafana、OpenTelemetry 等）。
• 精通至少一种主要编程或脚本语言（Python、Go 或 Bash），用于自动化诊断、数据收集或分析。
• 具有开发和维护事件手册和沟通模板的经验，以确保一致、及时的更新。
• 需要出色的上下文解读和写作能力，以及有效总结并向技术和业务受众沟通的能力。
• 计算机科学或计算机工程，或相关工程领域的学士、硕士或其他高级学位。
福利待遇
在 Databricks，我们致力于提供全面的福利和津贴，以满足所有员工的需求。如需了解你所在地区所提供福利的具体详情，请点击此处。
我们对多元与包容的承诺
在 Databricks，我们致力于营造多元和包容的文化，让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性，并符合平等就业机会标准。在 Databricks 寻求就业的个人不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份以及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问受出口管制的技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，且雇主可能仅基于此原因拒绝继续推进某位申请人。
薪资
Databricks 致力于公平和公正的薪酬实践。该职位的薪资范围列于下方，代表非佣金制职位的预期基本工资范围，或佣金制职位的目标收入。实际薪酬方案取决于每位候选人独有的若干因素，包括但不限于与工作相关的技能、经验深度、相关认证和培训，以及具体工作地点。基于上述因素，Databricks 预计将使用该范围的全部宽度。该职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利的资格。如需了解你所在地区属于哪个薪资范围，请访问我们的页面此处。
第 1 区薪资范围 $144,600 — $198,900 USD
第 2 区薪资范围 $130,200 — $178,950 USD
第 3 区薪资范围 $123,000 — $169,050 USD
第 4 区薪资范围 $115,700 — $159,050 USD
关于 Databricks
Databricks 是一家数据与 AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever，以及 70% 的《财富》500 强企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和代理。Databricks 总部位于旧金山，在全球拥有 30 多个办事处，提供统一平台，包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多信息，请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
Incident Manager
US Remote
CSQ127R151
At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As an Incident Manager, you will lead Databricks’ most critical production incidents while providing clear, accurate, and timely communication to customers, executives, and engineers. You’ll serve as both incident commander and reliability engineer; orchestrating multi-team responses, driving real-time status updates, and partnering with engineering to analyze and prevent failures. Your work will ensure Databricks maintains not only technical resilience but also customer and stakeholder confidence during high-impact events.
This role combines operational leadership, technical systems knowledge, and exceptional communication skills. You will be at the intersection of engineering depth and operational clarity, ensuring that every major incident is managed with precision, transparency, and continuous improvement.
The impact you will have here:
• Lead critical incidents — coordinate multi-disciplinary response efforts across Databricks’ cloud-based services to rapidly mitigate impact and restore operations.
• Drive technical root cause analysis and reliability improvements:
• collaborate with engineering teams to trace and document underlying causes across distributed systems, services, and data stores.
• Summarize key learnings, clearly communicate action items, and ensure that technical and procedural improvements are followed through.
• Own communications during incidents — deliver frequent, high-quality updates to internal stakeholders (executives, engineering leadership, support) and compose and publish customer-facing notifications that are accurate, timely, and empathetic.
• Mentor and train peers in both incident communication and technical response disciplines to raise the overall quality of Databricks’ incident response.
What are we looking for:
• 5+ years of experience in incident management, site reliability engineering, or production operations supporting large-scale, cloud-native systems.
• Proven ability to lead and coordinate high-severity incidents, including identifying impact, isolating fault domains, and managing multi-team response efforts.
• Strong understanding of cloud infrastructure (AWS, Azure, or GCP) — including compute, networking, storage, and observability components.
• Deep expertise in log analysis and debugging:
• Familiarity with log aggregation and search tools (e.g., Datadog, Elasticsearch, Splunk, Cloud Logging, or OpenTelemetry).
• Hands-on experience with observability systems — metrics, logging, and tracing frameworks (Prometheus, Grafana, OpenTelemetry, etc.).
• Proficiency in at least one major programming or scripting language (Python, Go, or Bash) for automating diagnostics, data collection, or analysis.
• Experience developing and maintaining incident playbooks and communication templates to ensure consistent, timely updates.
• Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences, are required.
• BS, Master's or other advanced degree in Computer Science or Computer Engineering, or related Engineering field.
福利待遇
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
薪资
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
Zone 1 Pay Range $144,600 — $198,900 USD
Zone 2 Pay Range $130,200 — $178,950 USD
Zone 3 Pay Range $123,000 — $169,050 USD
Zone 4 Pay Range $115,700 — $159,050 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .