高级软件工程师(后端)
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Senior Software Engineer (Backend)Databricks · Bengaluru, 印度
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职位描述
机器翻译P-926
在 Databricks,我们热衷于帮助数据团队解决世界上最棘手的问题——从让下一代交通方式成为现实,到加速医学突破的发展。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,从设计用于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。而我们在印度班加罗尔才刚刚起步!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。
你将产生的影响:
我们的后端团队涵盖多个不同领域,从核心计算结构资源管理到服务平台和基础设施。例如,你可能会处理以下挑战:
• 通过构建基础基础设施平台来支持 Databricks 的增长,这些平台能够在众多地理区域和云提供商之间实现无缝运行。
• 实现云无关的基础设施抽象,帮助 Databricks 工程师更高效地管理和运营他们的服务。
• 开发推动 Databricks 工程效率的工具和流程。我们在多个领域提升 Databricks 工程师的开发者体验,包括编程语言、linters、静态分析、IDE、远程开发环境、自动化发布流水线和测试自动化框架。我们目前的重点是在整个组织内优化 Rust 开发体验。
我们寻找的条件:
• 计算机科学或相关领域的学士(或更高)学位
• 6 年以上以下之一的生产级经验:Python、Java、Scala、C++ 或类似语言。
任职要求
• 精通一种或多种后端语言,如 Java、Scala 或 Go。
• 具备开发和运营后端系统的实操经验。
• 能够在高级团队成员的指导下,在从初始设计和开发到实施及持续运营的所有项目阶段中有效贡献。
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 Fortune 500 企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和 agents。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。有关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化和包容性的文化,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
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职位描述
P-926
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 in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.
The impact you'll have:
Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as:
• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.
What we look for:
• BS (or higher) in Computer Science, or a related field
• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
任职要求
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating backend systems .
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.
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.