高级软件工程师 - 安全
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Senior Software Engineer - SecurityDatabricks · San Francisco, 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。
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发现指数 42/100，仅依据与该职位一起存储的证据计算。
- 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+1
- 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。
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职位描述
机器翻译P-1137
摘要
在 Databricks，我们致力于帮助数据团队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，让我们的客户能够专注于对其使命至关重要的高价值挑战。
Databricks 由 Apache Spark 的原始创建者于 2013 年创立，已从加州伯克利的一间小小角落办公室成长为拥有 1500 多名员工的全球性组织。从中小企业到财富 100 强，数千家组织将其关键任务工作负载托付给 Databricks，这使我们成为全球增长最快的 SaaS 公司之一。
我们的工程团队构建高度技术化的产品，满足世界上真实而重要的需求。我们不断突破数据与 AI 技术的边界，同时以韧性、安全性和规模运营，这对于让客户在我们的平台上取得成功至关重要。
客户将其最宝贵的数据托付给 Databricks，而 Trust & Safety 的使命是打造全球最受信赖的数据分析与 ML 平台。安全工程是 Trust & Safety 不可或缺的一部分，在防止客户数据落入不法分子之手方面发挥着关键作用。我们正在寻找像您这样的资深领导者，来为这一领域创建愿景并定义战略。
您将产生的影响：
• 通过识别并填补我们基础设施和服务中的关键缺口，让 Databricks 对客户更安全
• 吸引来自全行业的顶尖人才。
• 在整个组织中代表安全工程学科，拥有强大的话语权，使我们更加数据驱动
• 在学术和行业会议及活动中代表 Databricks
我们寻找的人才：
• 5 年以上数据安全或相关领域经验，并在以下两个或多个领域具备专长——密码学、Kubernetes 安全、Web 安全、治理、隐私、信任、安全、身份验证、身份管理、访问控制、密钥管理、服务间身份验证、安全应用框架、检测与响应。在大型互联网公司构建系统的经验是极大的加分项。
• 5 年以上构建高可用大规模分布式系统的经验
• 具备跨职能和跨组织线领导的领导技能和经验
• 强大的沟通能力，能够向公司高层领导解释并推广数据安全
• 行动导向，对交付高质量解决方案充满热情
• 计算机科学或相关领域的硕士或博士学位
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。如需了解您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 求职的个人不会因年龄、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而拒绝继续推进某位申请人。
薪资
Databricks 致力于公平公正的薪酬实践。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多项因素，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。如需了解您所在地区属于哪个范围，请访问我们的页面此处。
当地薪资范围 $164,200 — $225,700 USD
关于 Databricks
Databricks 是数据与 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——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。
查看雇主原文
职位描述
P-1137
Summary
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.
Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.
Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.
Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.
The impact you will have:
• Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
• Attract top talent from across the industry.
• Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
• Represent Databricks at academic and industry conferences & events
What we look for:
• 5+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
• 5+ years of experience building large scale distributed systems with high availability
• Leadership skills and experience to lead across functional and organizational lines
• Strong communication skills to explain and evangelize Data Security to senior leaders across the company
• Bias to action and passion for delivering high-quality solutions
• MS or Ph.D. in Computer Science or related fields
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 $164,200 — $225,700 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 .