Lead/Manager AI Infra Systems Engineering Team (Amsterdam)
Together AI · Amsterdam
- Location
- Amsterdam
- Level
- Manager
- Posted
- Last week
About this role
About the Role
Lead a team of Site Reliability Engineer (SRE) at Together based out of our office in Amsterdam, you and the SRE team 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.
Responsibilities
- Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability
- Manage, develop and coach the SRE Team.
- 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
- Ideally 2 years as a Lead SRE
- 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 https://www.together.ai/privacy
As published by Together AI. Applications are handled on their site.
Skills this posting mentions
About Together AI
Together AI is the AI Native Cloud, purpose-built for AI engineers and researchers with a full suite of tooling across inference, model shaping, and pre-training. AI natives can use Together AI as a full-stack AI platform - from a high- performance inference engine built for reliable and fast scaling to on-demand GPU clusters and massive-scale AI factories. Together AI continuously pushes the frontier forward by productizing cutting-edge research from our world-leading AI systems research team. By combining research velocity with production-grade infrastructure, we enable companies to reliably scale AI-native applications as fast as the field evolves. Trusted by leading AI natives like Cursor, Decagon, Eleven Labs, AI21, Hedra, and Cartesia, as well as SaaS innovators such as Salesforce, Zoom, and Zomato, Together AI powers the next generation of AI-native applications.
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01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
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