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高级软件工程师 - 后端

机器翻译
查看雇主原标题Senior Software Engineer - Backend

Databricks · Bellevue, Washington

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 42/100,仅依据与该职位一起存储的证据计算。

42/100 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+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。

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-939

(职位工作地点可选择我们的西雅图或贝尔维尤办公室。)

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,让我们的客户能够利用深度数据洞察来改善其业务。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,到将我们的服务和基础设施扩展到数百万台虚拟机。而我们才刚刚开始。

你将产生的影响:

作为一名以后端为重点的软件工程师,你将与你的团队合作,为 Databricks 平台大规模构建基础设施和产品。我们的后端团队涵盖多个领域,从操作系统/容器系统,到无服务器基础设施,再到合作伙伴集成,以及机器学习基础设施。

以下是一些示例项目以及

• 无服务器平台:构建 Databricks 无服务器平台,为大数据、机器学习和 Gen AI 工作负载提供支持。自动提升平台上运行的工作负载的性能和效率,同时确保它们能够在多云环境中扩展到数百万台机器。

• 核心云平台:构建前沿的操作系统、容器和网络技术,为整个 Databricks 基础设施提供支持,从内部基础设施,到有服务器平台,再到无服务器平台。提升整个机群的安全性、效率和可靠性。

• 合作伙伴生态系统:构建并发展 Databricks SQL 的合作伙伴生态系统。构建并提供各种工具包,以支持合作伙伴和客户与 Databricks 进行深度且无缝的集成。维护并培育生态系统内富有成效且互惠互利的合作伙伴关系。

• Notebook 数据平面:为 Databricks 用户构建多语言、多用户协作式 REPL 体验,具备高可靠性和响应能力,重点关注 Notebook 中的数据科学与 AI/ML 编写和实验体验。

• 应用平台。构建工具、框架和平台,让 Databricks 工程师能够以“开箱即用”的方式构建、部署和运维服务。提升所有 Databricks 服务在不同云上的规模、可观测性和安全性,同时改善每位工程师的开发者体验。

我们寻找的人才:

• 计算机科学或相关领域的学士(或更高)学位

• 5 年以上以下之一的生产级经验:Java、Scala、Golang、C++ 或类似语言

福利待遇

在 Databricks,我们致力于提供全面的福利和待遇,以满足我们所有员工的需求。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且包容的文化,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,并且雇主可能仅基于这一原因而拒绝继续推进某位申请人的申请。

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 预计会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。如需了解你所在地点属于哪个薪资范围,请访问我们的页面此处。

本地薪资范围 $157,700 — $213,800 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 多个办公室,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-939

(Position Location is open to both our Seattle & Bellevue offices.)

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.

The impact you'll have:

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure.

Below are some example projects and the

• Serverless platform : Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads. Automatically improve the performance and efficiency of workloads running on the platform while also ensuring they scale to millions of machines across a multi-cloud environment.

• Core cloud platform : Build cutting-edge OS, container and networking technologies that power the entire Databricks infrastructure, from internal infrastructure, to serverful, and to serverless platform. Improve the security, efficiency and reliability across the fleet.

• Partner ecosystem : Build and grow a partner ecosystem for Databricks SQL. Build and offer a variety of toolkits to support partners and customers’ deep and seamless integrations with Databricks. Maintain and nurture productive and beneficial partnerships within the ecosystem.

• Notebook dataplane : Build multi-language multi-user collaborative REPL experience for Databricks users with high level of reliability and responsiveness, with a focus on Data Science and AI/ML authoring and experimentation experiences in notebooks.

• Application platform . Build tools, frameworks and platforms to allow Databricks engineers to build, deploy and operate services with "batteries included". Improve the scale, observability and safety of all Databricks services across different clouds while improving every engineer's developer experience.

What we look for:

• • BS (or higher) in Computer Science, or a related field

• 5+ years of production level experience in one of: Java, Scala, Golang, C++, or similar language

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 $157,700 — $213,800 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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