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Platform Engineer - AI/ML Infrastructure (Kubernetes & Terraform)
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Deepgram·USA | Remote·3 июля

Platform Engineer - AI/ML Infrastructure (Kubernetes & Terraform)

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Наша компания

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.

Чем предстоит заниматься

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

Наши требования

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
Strong scripting and automation skills (e.g., Python, Go, Bash)
Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling
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
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
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an .com email address. If you've received a message claiming to be Deepgram, please forward it to careers .com

Дополнительно

We're looking for an experienced Platform 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
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
D
Deepgram
USA | Remote

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ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
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Опубликовано3 июля
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