deepgram - Site Reliability Engineer - AI & ML Infrastructure (Kubernetes, AWS & Terraform)
Requirements
• 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). • Proven, hands-on experience building and managing production infrastructure with Terraform. • Expert-level knowledge of Kubernetes architecture and operations in a large-scale environment. • Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads. • Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle management. • Strong scripting and automation skills (e.g., Python, Go, Bash). • It Would Be Great if You Had • Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling. • Familiarity with FinOps principles and cloud cost optimization strategies. • Knowledge of Kubernetes networking (e.g., Calico, Cilium) and storage (e.g., Ceph, Rook) solutions. • Experience in a multi-region or hybrid cloud environment.
Responsibilities
• We're looking for an experienced Site Reliability Engineer to build and operate the hybrid infrastructure foundation for our advanced AI/ML research and product development. You'll architect, build, and run the platform spanning AWS and our bare metal data centers, empowering our teams to train and deploy complex models at scale. This role is focused on creating a robust, self-service environment using Kubernetes, AWS, and Infrastructure-as-Code (Terraform), and orchestrating high-demand GPU workloads using schedulers like Slurm. • Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services. • Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform, ensuring our environments are reproducible, versioned, and automated. • Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources. • Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing. • Implement and manage the platform's networking (CNI, service mesh) and storage (CSI, S3) solutions to support high-throughput, low-latency workloads across hybrid environments. • Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning. • Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle. • Automate the life cycle of single-tenant, managed deployments • You’ll Love This Role If You • Are passionate about building platforms that empower developers and researchers. • Enjoy creating elegant, automated solutions for complex infrastructure challenges in both cloud and data center environments. • Thrive on optimizing hybrid infrastructure for performance, cost, and reliability. • Are excited to work at the intersection of modern platform engineering and cutting-edge AI. • Love to treat infrastructure as a product, continuously improving the developer experience.
Benefits
• HOLISTIC HEALTH • Annual wellness stipend • Mental health support • Life, STD, LTD Income Insurance Plans • WORK/LIFE BLEND • Unlimited PTO • Generous paid parental leave • Flexible schedule • 12 Paid US company holidays • Quarterly personal productivity stipend • One-time stipend for home office upgrades • 401(k) plan with company match • Tax Savings Programs • CONTINUOUS LEARNING • Learning / Education stipend • Participation in talks and conferences • Employee Resource Groups • AI enablement workshops / sessions • For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. • Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
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