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工程经理 - 身份与访问管理 (IAM)

机器翻译
查看雇主原标题Engineering Manager - Identity and Access Management (IAM)

Databricks · Mountain View, California

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 44/100,仅依据与该职位一起存储的证据计算。

44/100 发现指数
  • 新的雇主官方职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+3
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

P-1107

在 Databricks,我们致力于让数据团队能够解决世界上最棘手的问题,从安全威胁检测到抗癌药物研发。我们通过构建和运行世界上最好的数据与 AI 基础设施平台来实现这一目标,让我们的客户能够专注于对其使命至关重要的高价值挑战。

客户将他们最宝贵的数据托付给 Databricks,而 Trust & Safety 的使命是打造世界上最值得信赖的数据与 AI 平台。身份与访问管理(IAM)是这一使命的核心,确保正确的用户和服务在正确的时间获得正确的访问权限。我们正在寻找一位工程经理来领导我们的 IAM 团队,并制定身份验证、授权和身份服务在我们平台上构建和扩展的策略。你将领导一个团队,负责拥有必须高度可靠、安全且在极端负载下依然快速的基础服务。

你将产生的影响:

• 定义并推动 IAM 系统的策略,包括身份验证和访问控制。

• 构建并扩展一支高绩效的工程团队,专注于云规模下的身份验证、授权和身份管理。

• 对 IAM 组件的架构和设计提供技术监督,使其能够以大规模运行,并满足对可靠性、安全性和性能的高要求。

• 与 Databricks 各工程和产品负责人合作,将安全、可扩展的身份解决方案嵌入我们产品的方方面面。

• 确保法规合规性并与 IAM 的行业最佳实践保持一致,帮助客户满足其自身的治理、隐私和安全需求。

• 吸引并培养顶尖工程人才,打造强调创新、协作和客户信任的团队文化。

我们寻找的条件:

• 9 年以上软件工程专业经验,其中 2 年以上在快节奏、动态环境中的工程领导经验。

• 具备构建具有高可用性和安全要求的大规模分布式系统的经验。

• 在构建和管理高绩效团队方面有出色业绩,包括在多个增长阶段扩展组织的经验。

• 在推动跨职能安全举措和在没有直接职权的情况下影响领导者方面有成功经验。

• 能够在架构层面提供技术方向,同时培养务实的执行思维。

• 出色的沟通和领导能力,能够推广 IAM 实践并激励团队和利益相关者。

• 计算机科学或相关技术领域的学士、硕士或博士学位。

福利待遇

在 Databricks,我们努力提供全面的福利和待遇,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接触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,且雇主可能仅基于这一原因而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薪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完整区间。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。

本地薪资范围 $190,000 — $261,250 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、分析和智能体。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。

查看雇主原文

职位描述

P-1107

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Customers trust Databricks with their most valuable data, and Trust & Safety has the mission to build the most trusted Data and AI platform in the world. Identity and Access Management (IAM) is at the heart of this mission, ensuring that the right users and services have the right access at the right time. We are looking for an Engineering Manager to lead our IAM team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform. You will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load.

The impact you will have:

• Define and drive the strategy for IAM systems, including authentication and access control.

• Build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale.

• Provide technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance.

• Partner with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product.

• Ensure regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs.

• Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.

What we look for:

• 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast paced, dynamic environment.

• Experience building large-scale distributed systems with high availability and security requirements.

• Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.

• Proven success driving cross-functional security initiatives and influencing leaders without direct authority.

• Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.

• Strong communication and leadership skills, with the ability to evangelize IAM practices and inspire both teams and stakeholders.

• BS, MS, or PhD in Computer Science or a related technical 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 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 anticipates 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 .

Local Pay Range $190,000 — $261,250 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 .

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