高级软件工程师 - 数据 + AI 可观测性
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Senior Software Engineer - Data + AI ObservabilityDatabricks · Bengaluru, 印度
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职位描述
机器翻译P-1385
企业正在投入数十亿美元开发和部署AI以及支撑AI的数据平台。但他们知道正在发生什么吗?
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,到加速医学突破的研发。我们通过构建和运行世界上最好的数据与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业务。我们由工程师创立——并且痴迷于客户——我们抓住每一个机会应对技术挑战,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。
作为客户前瞻团队的高级软件工程师,你将主导开发客户用来获取其AI和数据工作负载洞察、优化性能并降低成本的产品。你将构建每天处理数十亿条记录的数据基础设施,部署到全球超过65个云区域,并让世界上一些最大的公司能够开展其DevOps、FinOps、SecOps和AIOps工作。
该职位要求主导产品里程碑的技术开发,从需求细化,到执行、运维,并与更广泛的产品开发团队和合作团队迭代,以确保产品成功。
你将产生的影响:
• 开发系统,通过提供可靠且及时的观测性接口,让客户能够轻松解答有关其Databricks环境的问题
• 让Databricks各框架团队能够轻松将其数据发布给客户
• 有效主导观测性路线图中的大型里程碑,为Databricks产品的长期愿景和需求开发做出贡献
• 指导其他工程师为产品做出贡献并实现职业成长
• 优化大型数据管道的可扩展性和成本,以降低客户成本并开辟新的产品机会
• 推动与更广泛数据仓库生态系统中流行工具和服务的集成
我们寻找的人才:
• 6年以上以下之一的生产级经验:Java、Scala、Python、C++或类似语言
任职要求
• 在架构、开发、部署和运维大规模分布式系统组件方面有可靠的成功记录
• 强大的软件工程成熟度:安全性、正确性、工程卓越、运营卓越
• 平台思维:能够为其他软件团队有效构建平台,快速迭代以减少采用摩擦,倡导平台使用
• 跨职能技能:我们既有Databricks内部的平台客户,也有外部客户,这要求强大的跨职能技能
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,我们努力提供满足所有员工需求的全面福利和津贴。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。申请Databricks职位的人员不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和精神能力、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拒绝继续推进申请人的申请。
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职位描述
P-1385
Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening?
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 tackle 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.
As a Senior Software Engineer on the Customer Foresight Team , you'll lead the development of products that customers use to get insights on their AI and data workloads, optimize their performance, and lower costs. You will build data infrastructure that processes billions of entries daily, deploy to over 65 cloud regions worldwide, and enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs.
This role requires leading the technical development of product milestones from refinement of requirements, through execution, operation, and iterating with the broader product development team and partner teams to ensure product success.
The impact you will have :
• Develop systems that make it simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability
• Make it easy for frameworks teams across Databricks to publish their data to customers
• Effectively lead large milestones from the observability roadmap, contribute to the long-term vision and requirements development for Databricks products
• Mentor other engineers towards contributing to the product and their career growth
• Optimize the scalability and cost of large data pipelines towards reducing costs for customers and opening up new product opportunities
• Drive integration with popular tools and services in the broader data warehousing ecosystem
What we look for :
• 6+ years of production level experience in one of: Java, Scala, Python, C++, or similar language
任职要求
• Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
• Strong software engineering maturity: security, correctness, engineering excellence, operational excellence
• Platform mindset: effective building platforms for other software teams , iterating quickly to reduce friction to adoption, advocating for platform use
• Cross-functional skills: we have platform customers internal at Databricks as well as external customers, which requires strong cross-functional skills
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.