Lead/Manager Together Cloud Infrastructure Engineer
Work Arrangement
Office Days per Week: 2 days
Key Skills
Job Description
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 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 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
Core Responsibilities
Lead and manage a team of infrastructure engineers in Amsterdam to build a global management plane and distributed GPU scheduling systems. Design and develop foundational backend services and cloud platform features to support AI acceleration services.
Requirements
Requires 5+ years of experience building large-scale distributed systems and 1-2 years of infrastructure team leadership. Proficiency in Golang, Kubernetes, and cloud providers (AWS, Azure, GCP) is essential, along with a degree in Computer Science or equivalent experience.
About Together AI
Industry: Software Development
Company size: 201-500 employees
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.