AI Infrastructure Systems Engineer (Amsterdam & London)
Posted by employer 1 year ago
First seen on Joblaze 4 months ago
Last verified on the company career page 10 hours ago
Skills & Technologies
Requirements
- Experience
- 7+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of AI Infrastructure Engineer (SRE) at Together AI, the individual is tasked with ensuring the reliability and performance of user-facing services and production systems. This position requires expertise in tools like Ansible, Terraform, and Kubernetes, along with a strong foundation in programming and cloud services. Ideal candidates will have over seven years of relevant experience and a background in computer science, thriving in a collaborative environment with diverse stakeholders. Together AI, known for its innovative contributions to open-source AI research, offers a dynamic setting for those passionate about advancing AI infrastructure.
Joblaze insights
- Listed about 4 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.
- 2568 active Kubernetes roles on Joblaze right now.
- 1134 active Terraform roles on Joblaze right now.
- 261 active Ansible roles on Joblaze right now.
- Typical Kubernetes salary we track runs $125,000–$200,000 (median $165,000, across 1267 roles). See Kubernetes salary trends
Quick facts
- How much experience is required?
- At least 7 years of relevant experience for this AI Infrastructure Systems Engineer (Amsterdam & London) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Ansible, Cloud Services, Kubernetes, Observability, Scripting, Terraform.
- What seniority level is this role?
- Together AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this AI Infrastructure Systems Engineer (Amsterdam & London) role at Together AI.
From the original posting
About the Role
At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale.
If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk.
Hybrid at our office in Amsterdam or Remote in the UK.
Responsibilites
- Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention.
- Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation.
- Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers.
- Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators.
- Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads.
- Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations.
- Continuously improve deployment velocity, reliability, and operational efficiency through automation.
- Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure.
Requirements
- 3+ years building distributed systems, infrastructure platforms, or large-scale backend software.
- Strong software engineering skills in Python, Go, or Rust.
- Experience building platforms, automation systems, or developer infrastructure.
- Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies.
- Strong systems thinking with the ability to understand problems across hardware and software.
- A passion for solving complex infrastructure challenges through software.
- An automation-first mindset—if a task is repeated, your instinct is to build a system to eliminate it.
Bonus Experience
- GPU infrastructure, CUDA, NCCL, NVLink/NVSwitch
- InfiniBand or RoCE networking
- Bare-metal provisioning and lifecycle management
- Large-scale AI training or inference clusters
- Hardware health monitoring and predictive failure detection
- Distributed storage systems
- AI agents and autonomous infrastructure operations
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.