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Posted on 2025/11/11

DevOps Engineer (In Person - San Francisco)

XUMAN.AI

San Francisco, CA, United States

Full-time

Qualifications

  • 0–2 years of experience (internships, personal projects, or coursework count)
  • Basic understanding of cloud platforms (AWS, GCP, Azure)
  • Familiarity with Docker and at least one CI/CD tool (GitHub Actions, GitLab CI, Jenkins)
  • Basic knowledge of databases (MongoDB, PostgreSQL)
  • Interest in backend development (Node.js, Express, or similar)
  • Willingness to learn and adapt quickly
  • Must be located in San Francisco and available in person

Benefits

  • Daily mentorship from the founder and senior engineers
  • Exposure to backend, DevOps, and AI engineering
  • A clear growth path to full ownership and leadership
  • A chance to work on something global — from the inside

Responsibilities

  • You’ll work closely with the founder, backend developers, and AI engineers to keep things fast, secure, and scalable
  • Assisting in setting up and maintaining CI/CD pipelines
  • Supporting cloud infrastructure (AWS, GCP, or Azure) deployments
  • Helping monitor performance, logs, and uptime for production systems
  • Managing and maintaining databases (MongoDB, PostgreSQL)
  • Collaborating with backend developers to deploy APIs and services
  • Learning and applying infrastructure-as-code tools (Terraform, Ansible)
  • Following security best practices in deployments and data handling
  • You’ll get hands-on experience with real deployments, scaling, and database management — while learning directly from experienced engineers

Full Description

About the Role

We’re building something that will reshape how AI engages with the human experience — emotion, character, decision-making, and context.

We’re not just training models.

We’re building a living system that understands and adapts to people — and we’re doing it with speed, clarity, and precision.

As our Junior DevOps Engineer, you’ll help lay the foundation of our infrastructure — setting up and supporting the systems that power our AI and backend services.

You’ll work closely with the founder, backend developers, and AI engineers to keep things fast, secure, and scalable.

What You'll Be Doing

• Assisting in setting up and maintaining CI/CD pipelines

• Supporting cloud infrastructure (AWS, GCP, or Azure) deployments

• Helping monitor performance, logs, and uptime for production systems

• Managing and maintaining databases (MongoDB, PostgreSQL)

• Collaborating with backend developers to deploy APIs and services

• Learning and applying infrastructure-as-code tools (Terraform, Ansible)

• Following security best practices in deployments and data handling

What You Bring

• 0–2 years of experience (internships, personal projects, or coursework count)

• Basic understanding of cloud platforms (AWS, GCP, Azure)

• Familiarity with Docker and at least one CI/CD tool (GitHub Actions, GitLab CI, Jenkins)

• Basic knowledge of databases (MongoDB, PostgreSQL)

• Interest in backend development (Node.js, Express, or similar)

• Willingness to learn and adapt quickly

• Must be located in San Francisco and available in person

Why This Role Matters

This isn’t a “just keep it running” DevOps role — this is your chance to help build the infrastructure for a new category of AI.

You’ll get hands-on experience with real deployments, scaling, and database management — while learning directly from experienced engineers.

What You’ll Get

• Daily mentorship from the founder and senior engineers

• Exposure to backend, DevOps, and AI engineering

• A clear growth path to full ownership and leadership

• A chance to work on something global — from the inside