Is the Lead/Manager Together Cloud Infrastructure role remote?

It's hybrid — Together AI expects some on-site time in Amsterdam.

How much experience is required?

At least 5 years of relevant experience for this Lead/Manager Together Cloud Infrastructure role.

Where is the role based?

Together AI is hiring for this position in Amsterdam.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, Golang, Kubernetes, Microservices, PostgreSQL, cloud infrastructure.

What seniority level is this role?

Together AI targets lead candidates for this position.

Is this full-time or contract?

Full-time for this Lead/Manager Together Cloud Infrastructure role at Together AI.

Lead/Manager Together Cloud Infrastructure at Together AI

Joblaze summary

In this role, the Lead/Manager will oversee a team of cloud infrastructure engineers, focusing on the development and management of a distributed GPU scheduling system and customer-facing cloud services. Candidates should have extensive experience in building scalable, fault-tolerant distributed systems, with a strong command of programming languages like Golang and familiarity with cloud platforms such as AWS or Azure. This position is ideal for someone with a background in infrastructure leadership and a passion for advancing AI technology. Together AI emphasizes a collaborative environment, contributing to innovative AI solutions.

Joblaze insights

Listed about 3 months ago on Joblaze — tracked directly from Together AI's career page.
Together AI has 64 other open roles including Technical Support Engineer - India, Senior ABM & Campaign Manager, Staff Engineer, Distributed Storage and HPC & AI Infrastructure.
5148 active AI/ML roles on Joblaze right now.
2568 active Kubernetes roles on Joblaze right now.
1357 active PostgreSQL roles on Joblaze right now.
Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends

Quick facts

Is the Lead/Manager Together Cloud Infrastructure role remote?: It's hybrid — Together AI expects some on-site time in Amsterdam.
How much experience is required?: At least 5 years of relevant experience for this Lead/Manager Together Cloud Infrastructure role.
Where is the role based?: Together AI is hiring for this position in Amsterdam.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Golang, Kubernetes, Microservices, PostgreSQL, cloud infrastructure.
What seniority level is this role?: Together AI targets lead candidates for this position.
Is this full-time or contract?: Full-time for this Lead/Manager Together Cloud Infrastructure role at Together AI.

From the original posting

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