Together AILead/Manager AI Infra Systems Engineering Team (Amsterdam)
Together AI is hiring a Lead/Manager AI Infra Systems Engineering Team (Amsterdam) (Netherlands). Level rates it ; you can apply on Together AI.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include Cursor, Elevenlabs and Decagon.
- Level classifies it as a lead role.
- Level lists 84 other open roles at Together AI.
AI in this role
About the Role
Lead a team of AI Infra (Systems Engineers) 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, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
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
How we rate this
Lead/Manager AI Infra Systems Engineering Team (Amsterdam) at Together AI rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Walk me through how you've used Cursor in your day-to-day work.
- What are the limits of Elevenlabs that you've run into, and how did you work around them?
- What's a project where you used Decagon hands-on?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Fine-tuning, Cursor, Elevenlabs, and Decagon. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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