About Us
We're pioneering the next frontier of uncensored AI infrastructure & products. Our technology is all about crafting hyper-immersive experiences and giving creators the power to own personalized, interoperable AI characters—unlocking massive monetization potential across our ecosystem and way beyond.
Right now, we're laser-focused on the Creator and Social-Fi landscapes, building interoperable 'superModel' characters powered by our cutting-edge, proprietary multi-modal, uncensored AI models. These superModels will first come to life on OhChat, with tons of exciting integrations brewing.
Speaking of which, OhChat has already exploded—70,000 users across 174 countries in just weeks. The platform lets users dive into hyper-immersive experiences with digital AI characters, enabling real-time, uncensored interactions with original characters and 'digital twins' created in partnership with celebrities and real-world creators.
Website: oh.xyz
Job Overview
We're hunting for an extraordinary Lead DevOps Engineer to join our lightning-fast team and help construct best-in-class global consumer AI video technology from absolute scratch.
In this high-stakes, high-reward role, you'll architect and manage a fully mutable, distributed hybrid infrastructure spanning AWS and RunPod. Your core mission: build a cloud- and provider-agnostic stack capable of scaling to support millions of users engaging with bleeding-edge generative AI and real-time video services.
Key Responsibilities
Architect and lead the implementation of a fully mutable, distributed infrastructure across AWS and RunPod.
Develop and maintain cloud- and provider-agnostic deployment strategies.
Own and evolve automation and infrastructure-as-code (IaC) initiatives using modern open source tooling.
Build and optimize CI/CD pipelines to enable rapid and secure deployments.
Establish world-class monitoring, observability, and performance tuning for large-scale distributed systems.
Support AI workloads, including GPU-based compute for generative models and real-time video generation.
Work closely with ML engineers, data engineers, and product teams to support dynamic and high-throughput workloads.
Proactively identify and resolve bottlenecks, continuously improving system reliability and scalability.
Lead and mentor a team of DevOps and infrastructure engineers.
Required Skills & Qualifications
7+ years of experience in DevOps, Site Reliability Engineering, or infrastructure engineering.
Deep expertise in cloud infrastructure, especially AWS, and hybrid or distributed architectures (e.g., RunPod, on-prem, multi-cloud).
Strong experience with infrastructure-as-code tools (e.g., Terraform, Pulumi, CDK).
Expert-level understanding of containerization and orchestration (e.g., Docker, Kubernetes).
Passion for open source technologies and proven track record of integrating them into production systems.
Solid understanding of CI/CD best practices and experience implementing robust, automated pipelines.
Strong focus on security, compliance, and resilience in cloud-native environments.
Experience scaling and optimizing high-performance, low-latency systems for global audiences.
Proven ability to lead and mentor teams in high-stakes, rapidly evolving environments.
Preferred Qualifications
Experience supporting AI/ML infrastructure and GPU-intensive workloads.
Prior exposure to real-time video streaming or generative video systems.
Contributions to open source projects.
Why Join Us
Be part of a pioneering team defining the future of AI-driven immersive experiences.
Shape a next-generation, global AI video and character platform from zero to scale.
Work with a diverse, creative, and ambitious team pushing technical and creative boundaries.
High-impact, high-visibility role with significant ownership and leadership opportunities.
Flexible, remote-first culture.
Competitive compensation and equity package.
Startup hustle with the impact and reach of a global brand.
