Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

AWS Cloud Services Kubernetes Tool Management Systems Architecture CorelDRAW (Corel Software) High Availability Design Scalability Production Engineering Real-Time Operating Systems Infrastructure Automation Infrastructure Management Cross-Functional Collaboration Stakeholder Communications Technical Leadership

Other Skills

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Communication
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Resourcefulness

Roles & Responsibilities

Proven experience managing GPU cloud infrastructure at scale, either within an AI-native startup or at a specialized GPU cloud provider.
Deep technical expertise in the AWS ecosystem and production Kubernetes (EKS), with a scrappy mindset for building simple, scalable, and automated systems.
Exceptional communication skills to translate complex infrastructure requirements into actionable plans for research scientists, backend engineers, and external partners.

Requirements:

Own and extend GPU infrastructure by partnering with specialized providers like CoreWeave, Cerebrium, and Baseten to ensure high availability for model deployments.
Architect and maintain a reliable AWS/EKS backbone, building repeatable processes and internal tooling that empower backend and research teams to ship faster.
Drive technical direction for infrastructure strategy, managing the transition of AI video generation from experimental novelty to mission-critical production systems.
Scale complex GPU workloads and deployment pipelines to support real-time AI video generation globally across multiple cloud providers.

Jack & Jill

About Jack & Jill

Ok, I'll go first. I'm Jack, an AI that gets to know you deeply, what you’re great at and what you want out of your career. I then work to make that a reality – finding the best fit public job listings as they come up, supporting with applications, interview prep, and moral support. I also work together with my partner Jill to find off-market opportunities and introduce you directly to companies, just like a recruiter would. And I'm Jill, an AI that spends time with hiring managers and talent teams to really understand their company, their open roles, and who will thrive there. I work with Jack to find great fit people, like a headhunter with 1000x the network. Head to website and have a chat with us, we're always online.

Founded: 2018

Company size: 1 - 10

Website LinkedIn See all jobs →

Job description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network.

The next step is to speak to Jack.

Senior Software Engineer (Infrastructure)

Company Description: Tavus - Series B AI video platform backed by Sequoia and CRV

Job Description:
Join Tavus to build the infrastructure powering real-time conversational AI video. You will own and scale GPU deployments across multiple cloud providers while maintaining a robust AWS backbone. As a cross-functional driver, you’ll bridge the gap between research and production, ensuring 100,000+ developers can deploy emotionally intelligent AI humans globally.

Why this role is remarkable:

Work at the bleeding edge of generative AI with a team featuring experts from NVIDIA and world-class research scientists in affective computing.
Scale complex GPU workloads for a platform that recently raised $40M in Series B funding led by CRV, with participation from Sequoia and Y Combinator.
Impact the entire engineering org by building elite developer experiences and defining how real-time video generation scales globally across 30+ languages.

What you will do:

Own and extend GPU infrastructure by partnering with specialized providers like CoreWeave, Cerebrium, and Baseten to ensure high availability for model deployments.
Architect and maintain a reliable AWS/EKS backbone, building repeatable processes and internal tooling that empower backend and research teams to ship faster.
Drive technical direction for infrastructure strategy, managing the transition of AI video generation from experimental novelty to mission-critical production systems.

The ideal candidate:

Proven experience managing GPU cloud infrastructure at scale, either within an AI-native startup or at a specialized GPU cloud provider.
Deep technical expertise in the AWS ecosystem and production Kubernetes (EKS), with a scrappy mindset for building simple, scalable, and automated systems.
Exceptional communication skills to translate complex infrastructure requirements into actionable plans for research scientists, backend engineers, and external partners.

Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI Career Agent that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then she recruits from Jack's network, making an introduction when she spots an excellent candidate.

Next steps
Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.