Job Url: https://builtin.com/job/platform-engineer-ai-ml-infrastructure/6746417 Job Description: Deepgram Platform Engineer – AI/ML Infrastructure Job Posted Yesterday Reposted Yesterday 2 Locations Remote 160K-220K Annually Senior level Artificial Intelligence • Machine Learning • Natural Language Processing • Software The world’s first AI speech API for transcription with human-level understanding. The Role The role involves architecting and managing hybrid infrastructure for AI/ML, focusing on Kubernetes, AWS, and Infrastructure-as-Code practices. Summary Generated by Built In Company Overview Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram Opportunity: We're looking for an expert (Senior/Staff-level) 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. What You’ll Do 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. It’s Important To Us That You Have 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. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million 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! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them. Compensation Range: $160K - $220K #BI-Remote Read Full Description Top Skills AWS Bash Calico Ceph Ci/Cd Cilium Go Kubernetes Python Rook Slurm Terraform What The Team Is Saying Deepgram Employee “"Fun people who really strive to support each other. No spotlight hogs. These folks give credit where it's due. Fully remote but they strive to be well connected and foster relationships. They hire quality people and let them do what they're good at.“ View all jobs at Deepgram View Deepgram Profile Report Job Am I A Good Fit? beta 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 Experience managing bare metal infrastructure, including server provisioning Strong scripting and automation skills (e.g., Python, Go, Bash) ANALYSIS BASED ON YOUR RESUME: Maxwell_Reshel-Software Engineer, Mobile-Vivian Health.docx To select or upload a new resume, visit edit profile. The Company HQ: Ann Arbor , MI 115 Employees Year Founded: 2015 What We Do Our end-to-end deep neural network is revolutionizing the speech-to-text market and taking on the big guys. We’re redefining what companies can do with voice by offering a platform with AI architectural advantage, not legacy tech retrofitted with AI. We’ve raised over $56M and have been recognized as an Inc. Best Workplace (2021 and 2022), a Forbes Top 50 AI Company to Watch (2021), and a CB Insights Top 100 AI Startup (2021), among others. Join us. We want to hear what you’ve got to say. An NVIDIA partner and Y Combinator company.