Lead/Manager Together Cloud Infrastructure
Together AI is hiring a Lead/Manager Together Cloud Infrastructure in Amsterdam, Netherlands. Level rates it ; you can apply on Together AI.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Cursor, Elevenlabs and Decagon among its tools and skills.
- Level classes it as a lead role.
- Together AI has 83 other open roles on Level.
AI in this role
Lead an infrastructure engineering team building global distributed cloud platforms for AI compute and LLM inference.
About the Role
Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.
As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands.
We are a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.
Some of what you’ll work on:
- Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters.
- Build out a global management plane for managing our data center compute, networking, and storage.
- Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features.
Hybrid working 2 days a week at our offices in Amsterdam
Responsibilities
- Lead/Manage a team of 8 together cloud Infrastructure Engineer in Amsterdam,
- Identify, design, and develop foundational backend services that power Together’s commerce platform
- Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
- Partner with product teams to understand functional requirements and deliver solutions that meet business needs
- Write clear, well-tested, and maintainable software and IaC for both new and existing systems
- Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
- Participate in an on-call rotation to address critical incidents when necessary
Requirements
- Ideally 1-2 years of leading the Infrastructure team.
- Demonstrable background in acquiring talent and retaining talent.
- 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices
- Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
- Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
- Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP)
- Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
- Experience developing against and managing a relational database, such as PostgreSQL
- Expert-level programmer in one or more of programming language (Golang preferred)
- Proficiency in version control practices and integrating IaC with CI/CD pipelines.
- Experience with Kubernetes and containers preferred
- Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
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 Together Cloud Infrastructure at Together AI rates 90 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?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where team leadership was part of your work. What did you do?
- Tell me about a project where gpu scheduling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Fine-tuning, Distributed Systems, Cloud Infrastructure, Team Leadership, and GPU Scheduling. 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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