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Together AI

Runs cloud infrastructure for open AI models

Lead/Manager Cloud Infrastructure

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeAmsterdam, NetherlandsNo salary listed

About the Job

Requirements

  • Ideally have 1–2 years of experience leading an infrastructure team.
  • Have a demonstrable background in acquiring and retaining talent.
  • Have 5+ years of demonstrated experience building large-scale, fault-tolerant distributed systems and API microservices.
  • Have experience designing, analyzing, and improving the efficiency, scalability, and stability of system resources.
  • Have experience building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers, such as AWS, Azure, or GCP.
  • Have strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale.
  • Have experience developing against and managing a relational database, such as PostgreSQL.
  • Be an expert-level programmer in one or more programming languages; Golang is preferred.
  • Be proficient in version control practices and integrating infrastructure as code with continuous integration and continuous delivery pipelines.
  • Have a Bachelor's or Master's degree in Computer Science or Computer Engineering, a related technical field, or equivalent practical experience.

Responsibilities

  • Lead/manage a team of eight Together Cloud Infrastructure Engineers 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 infrastructure as code for 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.
  • Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters.
  • Build a global management plane for managing data center compute, networking, and storage.
  • Design and build new customer-facing cloud platform services and enterprise AI cloud features.

Desired Qualifications

  • Experience with Kubernetes and containers is preferred.
  • Experience building and operating data infrastructure such as Kinesis, Airflow, or Kafka is a plus.

About the Company

Together AI

Runs cloud infrastructure for open AI models

Together AI runs cloud infrastructure for developers and businesses that train, customize, and deploy AI models, with a focus on open models that customers control. Its platform combines model hosting with tools for adapting models to tasks such as coding assistants, customer support, and image generation. Developers call models through an API, reserve dedicated capacity for steady workloads, or rent GPU clusters for training, while the company charges for model usage and computing resources. Teams also fine-tune models on their own data and deploy the results through the same platform without building a separate serving system. Together AI was founded in 2022 and is based in San Francisco.

Company size
201-500
Company stage
Series C
Total funding
$1.3B
Headquarters
San Francisco, CA
Founded
2022

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