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Senior DevOps Engineer

Los Altos, CA

We’re building the world’s first marketplace for personal AI — where people don’t just use AI, they become it.

At Uare.ai, founded by Robert LoCascio (former CEO of LivePerson), we’re creating a platform where prosumers and consumers come together — to build, share, and interact with AI versions of themselves. These aren’t chatbots. They’re living digital reflections that express knowledge, creativity, and emotion.

Now we're looking for an Infrastructure/DevOps Engineer who can architect and operationalize this vision into a robust, scalable platform — someone who bridges development and operations to build reliable infrastructure that powers a world-class consumer product.

 

About the role:

We are looking for a talented Infrastructure Engineer to design, build, and maintain highly scalable, secure, and automated cloud infrastructure. In this role, you will work closely with engineering and ML teams to support both traditional backend services and ML pipelines on Azure. You will drive best practices, build CI/CD pipelines, and help ensure that our infrastructure is resilient, performant, and secure.

What you’ll do:

  • Design, provision, and manage scalable infrastructure in Azure using best practices.
  • Use infrastructure-as-code (IaC) tools (Terraform) to codify, version, and automate infrastructure.
  • Deploy and manage containerized applications using Docker and Kubernetes (e.g., AKS).
  • Work with common service technologies: web servers, message queues, load balancers, and databases.
  • Build and maintain CI/CD pipelines to automate build, test, and deployment workflows.
  • Integrate security and compliance checks into pipelines (vulnerability scanning, secrets management, static analysis).
  • Implement logging, monitoring, and alerting (Datadog, Sentry, cloud-native monitoring) to proactively detect and resolve issues.
  • Establish service-level objectives (SLOs), error budgets, and runbooks for reliability.
  • Embed security into infrastructure and delivery processes (DevSecOps): manage secrets (Azure Key Vault), enforce least privilege access, scan container images, integrate SAST/SCA in CI.
  • Conduct vulnerability assessments and remediation; automate patching and enforce security policies across infrastructure.
  • Support machine learning workflows and MLOps: help build, deploy, and maintain platforms leveraging MLflow, Airflow, and Temporal.
  • Provide infrastructure for data pipelines, model training, serving, and monitoring; ensure compute resources scale efficiently.

What we’re looking for:

Required:

  • 5+ years experience in cloud infrastructure engineering / DevOps / SRE.
  • Strong hands-on experience with Azure.
  • Expertise in Terraform (or comparable IaC tools), Docker and Kubernetes.
  • Experience with common service technologies: web servers, message queues, load balancers, and databases.
  • Skilled with CI/CD tools and pipelines.
  • Proficient scripting skills (Bash, Python, PowerShell) and cloud-native languages such as Golang.
  • Understanding of monitoring, logging, and alerting systems.
  • Strong problem-solving skills and responsibility for production systems.

Preferred / Nice to Have:

  • Experience with MLOps tools such as MLflow, Airflow, Temporal.
  • Experience building infrastructure for chat, messaging, or social media systems.
  • Familiar with DevSecOps practices: container scanning, static code analysis, secrets management.
  • Prior exposure to SRE practices (SLOs, error budgets).
  • Familiarity with compliance or security frameworks (zero trust, identity management).
  • Certifications (Azure, Kubernetes, Terraform) are a plus.

Why Join us:

You’ll help invent a new kind of social platform — one built on authenticity and creativity, not algorithms. You’ll collaborate with designers, storytellers, and engineers defining how personal AI becomes a medium for human expression.

This isn't just another infrastructure role — it's a chance to build the foundational systems that power human identity in the AI age.

 

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity and a comprehensive benefits package.  

Annual Salary

$150,000 - $250,000 USD

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