基础设施软件工程师（Kubernetes）
Infrastructure Software Engineer (Kubernetes)
Cresta 释放客户体验的真正潜力，将每次对话转化为竞争优势。Cresta 的统一 AI 平台结合了对话 AI 代理、实时人工代理增强功能以及全面的对话智能，从而在每个渠道中提升收入和效率。包括美国联合航空、科克斯通信和万豪在内的全球领先公司每天都在使用 Cresta 来打造世界级的客户体验。
Cresta 诞生于斯坦福人工智能实验室，已从包括 a16z、Greylock 和 Sequoia 在内的全球顶级投资方筹集了超过 2.7 亿美元资金。Cresta 的领导团队包括当今人工智能领域的顶尖人才。我们的首席执行官 Ping Wu 曾创立并领导了谷歌的客服中心 AI 和 Vertex AI 平台，在加入 Cresta 之前，他致力于构建 AI 驱动的客户体验的未来。
在未来几年里，AI 将重新定义世界各地人们与企业互动的方式。来 Cresta 一起构建这个未来。
关于职位：
作为基础设施团队的一员，你将负责设计、构建和推进我们的核心基础设施，使工程团队能够快速、高效且安全地执行任务。你将加入一个协作但高度自主的工作环境，每位成员都有明确的角色和清晰的期望，同时也有自由去追求自己感兴趣的项目。
职责：
- 开发者工具链。与工程师合作，构建赋能开发者工作流和部署基础设施的开发工具。
- 确保多云 Kubernetes 集群和流水线的可靠性。
- 跨所有端点和应用程序的性能和安全的指标、日志、分析和警报。
- 多云供应商上的基础设施即代码部署工具和配套服务。
- 自动化运维和工程。专注于自动化，以便我们能在重要领域投入精力。
- 构建机器学习基础设施，使 AI 团队能够在大规模数据集上进行训练、测试和部署。
我们寻找的人选：
- 5 年以上 DevOps、站点可靠性工程、生产工程或相关领域的经验。
- 精通 Golang 或 Python 等编程语言。
- 对容器相关的安全最佳实践有深入的了解。
- 有 Kubernetes 的生产经验，并对 Kubernetes 生态系统有深入理解，包括流行的开源工具等。
查看英文原文
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.
Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.
About the role:
As a member of the infrastructure team you are responsible for designing, building, and advancing our core infrastructure that allows the engineering team to execute quickly, productively, and securely. You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.
Responsibilities:
- Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
- Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
- Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
- Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
- Automate operations and engineering. Focus on automation so we can spend energy where it matters.
- Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.
What we are looking for:
- 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
- Deep proficiency with coding languages such as Golang or Python.
- Deep familiarity with container-related security best practices.
- Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.
- Production experience with Kubernetes templating tools such as Helm or Kustomize.
- Production experience with IAC tools such as Terraform or CloudFormation.
- Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
- Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
- Production experience with database software such as PostgreSQL
- Experience with GitOps tooling such as Flux or Argo.
- Experience with CI/CD such as GitHub Actions.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email).
Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.
Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.