人工智能基础设施工程师 (SRE) 班加罗尔
AI infrastructure Engineer (SRE) Bangalore
职位描述
作为Together的AI基础设施工程师（SRE），您负责确保所有面向用户的服务和生产系统平稳运行。您是务实的运维人员与软件工程师的结合体，将良好的工程原则、运营纪律和成熟的自动化应用于我们的运行环境和代码库。
您专精于系统（操作系统、存储子系统、网络），同时实施最佳可用性、可靠性和可扩展性实践，并对算法和分布式系统有广泛兴趣。
理想情况下，位于班加罗尔附近或远程印度。
职责
- 参与轮班（PagerDuty）以响应影响可用性的事件
- 使用Ansible、Terraform和Kubernetes构建和运行我们的基础设施，以支持大量并发用户的扩展
- 构建监控系统，确保为客户提供最高质量的服务
- 设计和实现操作流程（如部署和升级）
- 调试跨所有服务和堆栈层级的生产问题
- 从可靠性、性能和可用性的角度识别产品架构的改进点
- 规划Together AI基础设施的增长
要求
- 7年以上SRE或相关领域的专业经验
- 必须有操作GPU启用的Kubernetes集群或支持机器学习训练和推理工作负载的AI基础设施的经验
- 计算机科学或相关领域的学士学位或同等工作经验
- 精通Ansible（角色、剧本）、Terraform和Kubernetes
- 熟练掌握编程/脚本语言
- 有监控和可观测性实践的直接经验
- 熟悉云服务
- 能够在涉及不同利益相关者和主题专家的协作环境中茁壮成长
关于Together AI
Together AI是一家以研究为导向的人工智能公司。我们相信开放和透明的AI系统将推动创新并为社会创造最佳成果，我们正致力于通过共同设计软件、硬件、算法和模型，显著降低现代AI系统的成本。我们已为领先的开源研究、模型和数据集做出贡献，以推进AI的前沿，我们的团队曾推动FlashAttention、Hyena、FlexGen和RedPajama等技术进步。我们邀请您加入我们。
查看英文原文
About the Role
As a AI Infrastructure Engineer (SRE) at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase.
You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems.
Ideally based closed to Bangalore or remote India.
Responsibilities
- Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability
- Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users
- Build monitoring systems to ensure the highest quality service for our customers
- Design and implement operational processes (such as deployments and upgrades)
- Debug production issues across all services and levels of the stack
- Identify improvements for the product architecture from the reliability, performance and availability perspectives
- Plan the growth of Together AI’s infrastructure
Requirements
- 7+ years of professional SRE or related experience
- Must have Experience operating GPU-enabled Kubernetes clusters or AI infrastructure supporting machine learning training and inference workloads.
- Bachelor's degree in Computer Science or a related field or equivalent work experience
- Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes
- Proficiency in programming/scripting languages
- Direct experience in monitoring and observability practices
- Advanced knowledge of cloud services
- Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at
Originally posted on Himalayas