高级工程经理 - 后端
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Senior Engineering Manager - BackendDatabricks · Bengaluru, 印度
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职位描述
机器翻译P-995
在 Databricks,我们热衷于帮助数据团队解决世界上最棘手的难题——从让下一代交通方式成为现实,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,让客户能够利用深度数据洞察来改进其业务。公司由工程师创立——并且痴迷于客户——我们抓住每一个机会解决技术挑战,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。
你将与你的团队一起,为 Databricks 平台大规模构建基础设施和产品。我们有多个团队负责不同的领域。
• 资源管理基础设施,以可扩展、安全且与云无关的方式,为 Databricks 平台上的大数据和机器学习工作负载提供支持
• 开发可靠、可扩展的服务和客户端库,能够在云上跨地理区域和云服务商处理海量数据
• 构建工具,让 Databricks 工程师能够在不同的云和环境上运维他们的服务
• 在机器学习和分布式系统的交叉领域构建服务、产品和基础设施。
你将产生的影响:
• 招聘优秀的工程师,打造一支卓越的团队。
• 通过提供清晰的反馈来支持工程师的职业发展,并培养工程领导者。
• 通过建立流程(架构评审、测试)和文化(工程卓越)来确保高技术水平。
• 与工程和产品领导层合作,制定长期路线图。
• 协调执行并跨团队协作,以解除跨领域项目的阻碍。
我们寻找的人才:
• 12 年以上大规模分布式系统的丰富经验,以及围绕测试、监控、SLA 等方面的流程经验
• 作为软件工程领导者拥有丰富经验,从零开始构建并扩展软件工程团队
• 拥有管理一支由优秀软件工程师组成的团队的丰富经验
• 与 PM、销售和客户合作,开发创新功能和产品。
• 计算机科学或相关领域的学士学位(或更高学位)。
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。
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。
我们对多元化和包容性的承诺
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 寻求就业机会的个人,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,并且雇主可能会仅基于这一理由而拒绝继续推进某位申请人的申请。
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-995
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve 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.
You will work with your team to build infrastructure and products for the Databricks platform at scale . We have multiple teams working on different domains.
• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
• Build tools to allow Databricks engineers to operate their services across different clouds and environments
• Build services, products and infrastructure at the intersection of machine learning and distributed systems.
The impact you will have:
• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.
What we look for:
• 12+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
• Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up
• Extensive experience managing a team of strong software engineers
• Partner with PM, Sales, and Customers to develop innovative features & products.
• BS (or higher) in Computer Science, or a related field.
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 .
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.