Lead/Manager Together Cloud Infrastructure
Amsterdam
Posted 1mo ago
Job Location
Amsterdam
Tech Stack
Remote Work Policy
On-site
Categories
AI Infrastructure Engineer
About the job
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. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.
Responsibilities
- Lead/Manage a team of 8 cloud infrastructure engineers in Amsterdam.
- Identify, design, and develop foundational backend services for the commerce platform.
- Analyze and improve the robustness and scalability of distributed systems, APIs, databases, and infrastructure.
- Partner with product teams to understand requirements and deliver solutions.
- Write clear, well-tested, and maintainable software and IaC.
- Conduct design and code reviews, create documentation, and develop testing strategies.
- Participate in an on-call rotation for critical incidents.
Requirements
- 1-2 years of experience leading an infrastructure team.
- Demonstrable background in talent acquisition and retention.
- 5+ years of experience building large-scale, fault-tolerant, distributed systems and API microservices.
- Experience designing, analyzing, and improving system efficiency, scalability, and stability.
- Excellent communication skills for design docs and team collaboration.
- Experience building and operating high-performance or globally distributed microservice architectures on cloud providers (AWS, Azure, GCP).
- Strong systems knowledge across compute, networking, and storage.
- Experience developing against and managing a relational database (e.g., PostgreSQL).
- Expert-level programming in Golang preferred.
- Proficiency in version control and integrating IaC with CI/CD pipelines.
- Experience with Kubernetes and containers preferred.
- Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc.) is a plus.
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent practical experience.