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高级软件工程师 - 应用流量团队

机器翻译
查看雇主原标题Senior Software Engineer - Application Traffic team

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 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-78

在 Databricks,我们热衷于帮助数据团队解决世界上最棘手的问题,从推进 AI 研究到为下一代应用提供支持。我们通过构建和运营世界上最好的数据与 AI 基础设施平台来实现这一目标。我们由工程师创立,以客户至上为驱动,拥抱最艰难的技术挑战,无论是跨多个云扩展分布式系统,还是在数千个服务之间实现可靠、低延迟的通信。而我们才刚刚开始。

作为应用流量团队的高级软件工程师,你将设计并构建支撑 Databricks 在多云环境中数千个集群之间服务间通信的系统。你还将帮助创建抽象层,向产品团队隐藏网络复杂性,使连接、服务发现和可靠性默认即无缝实现。

你将产生的影响:

你将参与定义 Databricks 网络栈的三个关键领域:

• 入口控制平面:构建 Databricks 全球入口层的控制平面。支持使用静态和动态端点对 API 网关进行编程,简化服务接入,并让跨云安全地暴露 API 变得轻而易举。

• 服务间通信:设计可扩展的机制,用于在数千个集群之间进行服务发现和负载均衡。提供网络抽象,使产品团队无需担心底层连接细节。

• 过载保护:构建智能限流和准入控制系统,在高负载下保护关键服务。确保面向客户和内部工作负载的可靠性和可预测性能。

我们寻找的条件:

• 计算机科学或相关领域的学士学位(或更高学位)

• 5 年以上设计和构建大规模分布式系统的经验

• 精通一种或多种语言,如 Java、Scala、Go 或 C++

任职要求

• 熟悉云平台(AWS、Azure、GCP)以及容器/编排技术(Kubernetes、Docker)

• 有交付支持大规模关键任务工作负载的基础设施的过往业绩

优先考虑:具有服务发现、DNS、负载均衡、Envoy 或相关网络系统背景

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,且雇主可能仅基于此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。如需了解您所在地区属于哪个范围的更多信息,请访问我们的页面此处。

本地薪资范围 166,000 美元 — 225,000 美元

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 数据 + AI 平台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-78

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems, from advancing AI research to powering next-generation applications. We do this by building and operating the world’s best data and AI infrastructure platform. Founded by engineers and driven by customer obsession, we embrace the hardest technical challenges, whether it’s scaling distributed systems across multiple clouds or delivering reliable, low-latency communication between thousands of services. And we’re only getting started.

As a Senior Software Engineer on the Application Traffic team , you will design and build the systems that power Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default.

The impact you’ll have:

You’ll work across three key areas that define Databricks’ networking stack:

• Ingress Control Plane : Build the control plane for Databricks’ global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds.

• Service-to-Service Communication : Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don’t need to worry about underlying connectivity details.

• Overload Protection : Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads.

What we look for:

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

• 5+ years of experience designing and building large-scale distributed systems

• Strong proficiency in one or more languages such as Java, Scala, Go, or C++

任职要求

• Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)

• Track record of shipping infrastructure that supports mission-critical workloads at scale

Preferred: background in service discovery, DNS, load balancing, Envoy, or related networking systems

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 $166,000 — $225,000 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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