---
title: 'Platform Engineer - AI/ML Infrastructure (Kubernetes & Terraform) at Deepgram'
canonical: 'https://feeny.ai/job/platform-engineer-ai-ml-infrastructure-kubernetes-terraform-deepgram-united-2qswk7tcgpw6'
type: 'job'
last_seen: '2026-09-13'
---

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

- **Company:** Deepgram
- **Location:** United States
- **Compensation:** $136k–$240k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-03
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/deepgram/f424ef6a-c27f-4984-9e77-40a1ad16ae28/application

**Skills:** Kubernetes, AWS, Terraform, Slurm, Python, Go, Bash, Infrastructure-as-Code, High-performance compute, GPU workload management, CI/CD, GitLab CI, Jenkins, ArgoCD, FinOps, Calico, Cilium, Ceph, Rook, PXE boot

> Build and operate hybrid infrastructure foundations for AI/ML research and product development using Kubernetes, AWS, and Terraform. Architect self-service environments, optimize GPU workloads via Slurm, and collaborate with AI teams to accelerate development cycles.

## Job description

Company Overview 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.

Opportunity: 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.

## 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.
- 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.

It Would Be Great if You Had

- 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 @[deepgram.com](http://deepgram.com) email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

## About Deepgram

## Company Overview
- **One-liner**: Deepgram is a foundational AI company building real-time voice AI infrastructure for developers and enterprises to power speech-to-text, text-to-speech, and voice agent applications.
- **Entity Type**: Private (Series C, Unicorn status)
- **Headquarters**: San Francisco, California, USA (remote-first, distributed across 20+ states and 5+ countries)
- **Founded**: 2015
- **Founders**: Scott Stephenson (CEO), Adam Sypniewski, Noah Shutty

## Core Business
- **Primary industry**: Voice AI / Artificial Intelligence / Speech Recognition
- **Target customers**: Developers, product teams, enterprises, and platforms embedding voice AI (B2B, B2D)
- **Mission statement**: To transform the way humans interact with machines by unlocking the productivity of the world through voice technology

## Products & Services
- **Speech-to-Text (STT)**: Real-time and batch transcription with models like Nova-3 (world’s most accurate real-time STT) and Flux Multilingual (first conversational STT in 10 languages). Available via cloud or self-hosted. [deepgram.com](https://deepgram.com/)
- **Text-to-Speech (TTS)**: Aura-2, professional-grade enterprise TTS for natural voice output. [deepgram.com](https://deepgram.com/)
- **Voice Agent API**: A unified API that combines STT, TTS, and LLM orchestration into a single endpoint, reducing complexity, latency, and cost for building conversational AI agents. [deepgram.com](https://deepgram.com/)
- **Custom Models**: Ability to train custom speech models for unique use cases and domain-specific vocabulary. [deepgram.com](https://deepgram.com/)
- **Saga (Voice OS)**: An operating system for voice applications, announced as a platform-level offering. [linkedin.com](https://www.linkedin.com/company/deepgram)
- **Deepgram for Restaurants**: Vertical solution for drive-thru and restaurant voice ordering (95%+ containment), powered by the acquisition of OfOne. [linkedin.com](https://www.linkedin.com/company/deepgram)

## Market Standing
- **Valuation**: $1.3 billion unicorn status (as of Series C in 2024) [deepgram.com](https://deepgram.com/about)
- **Key Metric**: $130 million in Series C funding (total raised: ~$202M+ including $72M Series B) [deepgram.com](https://deepgram.com/about)
- **Notable Investors/Partners**: Y Combinator, NVIDIA (proud partner), with Series C led by prominent venture firms [ycombinator.com](https://www.ycombinator.com/companies/deepgram)
- **Growth Signals**: Processed 50,000+ years of audio and 1 trillion+ words; trusted by 200,000+ developers and 1,300+ organizations; acquired OfOne for restaurant voice AI; launched Flux Multilingual, Nova-3, Aura-2, and Saga in rapid succession [linkedin.com](https://www.linkedin.com/company/deepgram)

## Competitive Advantages
- **Foundational AI moat**: Deepgram is a research-driven company that builds its own end-to-end deep learning models (not wrappers), giving them control over accuracy, latency, and cost.
- **Unified API advantage**: A single Voice Agent API that replaces the need to stitch together separate STT, TTS, and LLM components—reducing complexity and latency.
- **Scale and experience**: The most experienced voice AI platform in the world, having processed the largest volume of voice data (50,000+ years of audio).
- **Enterprise-grade reliability**: Offers on-premise/self-hosted deployment options for compliance-heavy industries (healthcare, finance, legal).
- **NVIDIA partnership**: Access to scalable GPU infrastructure for training and inference, differentiating them from competitors.

## Strategic Focus
- **Voice AI Economy leadership**: Positioning Deepgram as the infrastructure layer for the emerging "trillion-dollar Voice AI economy."
- **Multilingual expansion**: Launching Flux Multilingual to capture global markets beyond English.
- **Vertical industry penetration**: Moving beyond horizontal API into vertical solutions (restaurants via OfOne acquisition, medical transcription).
- **Agentic AI**: Doubling down on Voice Agent API and autonomous voice agents as the next growth vector.
- **Platform expansion**: Building Saga (Voice OS) to become the operating system for all voice applications.

## Why Work Here
- **Remote-first culture**: Deepgram is a remote-first company with employees across 20+ states in the US and 5+ countries. They offer freedom and flexibility to work from anywhere. [deepgram.com](https://deepgram.com/careers)
- **Strong benefits package**: Medical, dental, vision insurance; mental health support; unlimited PTO; 12 paid US holidays; parental leave; 401(k) with company match; wellness stipend; learning/education stipend; quarterly productivity stipend; one-time office upgrade stipend. [deepgram.com](https://deepgram.com/careers)
- **Inclusive environment**: Active Employee Resource Groups (ERGs) and a stated commitment to "every voice, heard and understood." [deepgram.com](https://deepgram.com/careers)
- **Annual offsites**: While remote-first, the company convenes annually for in-person offsites to foster collaboration and connection. [deepgram.com](https://deepgram.com/careers)
- **Engineering culture**: Values include "be curious," "grow together," "do the right thing," "think smart, act fast," and "put the customer first." The culture is described as self-motivated, positive, passionate, and competitive. [deepgram.com](https://deepgram.com/careers)
- **Research-driven environment**: Deepgram was founded by physicists and maintains a strong research team (Research Scientist, Research Engineer roles), offering the chance to work on cutting-edge AI. [ycombinator.com](https://www.ycombinator.com/companies/deepgram)
- **Salary transparency**: Publicly lists salary ranges for roles (e.g., Research Scientist $150K-$250K, SDR $50K-$60K), indicating compensation transparency. [ycombinator.com](https://www.ycombinator.com/companies/deepgram)

## Sources
1. [deepgram.com - Careers Page](https://deepgram.com/careers)
2. [deepgram.com - Product Page](https://deepgram.com/)
3. [deepgram.com - About Page](https://deepgram.com/about)
4. [ycombinator.com - Deepgram Profile](https://www.ycombinator.com/companies/deepgram)
5. [linkedin.com - Deepgram Company Page](https://www.linkedin.com/company/deepgram)

## Other roles at Deepgram

- [People AI & Automation Engineer](https://feeny.ai/job/people-ai-automation-engineer-deepgram-united-states-akjthancr1e0) — United States
- [Staff Product Analyst (Product-Led Growth)](https://feeny.ai/job/staff-product-analyst-product-led-growth-deepgram-united-states-y9yx4qqcqe57) — United States
- [Associate General Counsel Corporate](https://feeny.ai/job/associate-general-counsel-corporate-deepgram-united-states-vmfe7xype1r6) — United States
- [Senior Commercial Counsel](https://feeny.ai/job/senior-commercial-counsel-deepgram-emea-j5bmzjzbpdh5) — EMEA
- [AI Data Readiness Lead](https://feeny.ai/job/ai-data-readiness-lead-deepgram-united-states-6jtn75s3fyd1) — United States
- [Talent Acquisition Manager](https://feeny.ai/job/talent-acquisition-manager-deepgram-united-states-37a7eh07z31n) — United States
- [Strategic Account Execustive (New York City)](https://feeny.ai/job/strategic-account-execustive-new-york-city-deepgram-new-york-pddfzv4pr2rs) — New York, NY
- [Executive Business Parter, Customer Success](https://feeny.ai/job/executive-business-parter-customer-success-deepgram-united-states-v8qhnkgewtt2) — United States
- [Senior Forward Deployed Engineer (FDE), Strategic Accounts](https://feeny.ai/job/senior-forward-deployed-engineer-fde-strategic-accounts-deepgram-new-york-g66c10a7xrb5) — New York, NY
- [Software Test Engineer](https://feeny.ai/job/software-test-engineer-deepgram-united-states-dhq28zwk1dr0) — United States