Senior Backend Engineer

Summary

Join Together AI and become a Senior AI Infrastructure Engineer, playing a key role in building the next generation AI cloud platform. You will design, build, and maintain performant, secure, and highly-available backend services and operators. This involves working on a global multi-exabyte high-performance object store, building advanced observability stacks, and automating hardware management. The platform serves both internal SaaS products and external cloud customers. Success requires deep technical skills, excellent communication, and strong systems knowledge. The role offers competitive compensation, equity, health insurance, and remote work flexibility.

Requirements

• 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
• 5+ years experience writing high-performance, well-tested, production quality code
• Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
• Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
• Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
• Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)

Responsibilities

• Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning
• Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs
• Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining
• Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining
• Perform architecture and research work for decentralized AI workloads
• Work on the core, open-source Together AI platform
• Create services, tools, and developer documentation
• Create testing frameworks for robustness and fault-tolerance

Preferred Qualifications

• Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
• Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
• Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
• Experience with Cluster API or similar a big plus
• Experience working on high-performance compute, networking, and/or storage a big plus
• Experience virtualizing GPUs and/or Infiniband a big plus
• Experience building IaaS or PaaS systems at scale a plus
• Experience with DPUs/SmartNICs a plus
• GPU programming, NCCL, CUDA knowledge a plus

Benefits

• Health insurance
• Competitive compensation
• Startup equity
• Flexibility in terms of remote work