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Xference is hiring

Join us at the frontier of AI's most transformative phase. At Xference, we're not just building another AI company—we're creating the infrastructure that will define how organizations implement and interact with artificial intelligence for decades to come.

We believe inference represents the critical bridge between AI's theoretical promise and its practical impact. As this market exponentially expands, we're assembling a team of visionaries who recognize both the technical challenges and unprecedented business opportunities in this space.

Our ideal teammates are experienced professionals who see beyond today's limitations to tomorrow's possibilities. We're looking for builders—people who are energized by the prospect of creating something groundbreaking from the foundation up. You'll work directly with our founding team to shape not just our products, but our company culture, technical architecture, and market approach.

This is an invitation to join a journey that begins in startup mode but aims for industry transformation. If you're passionate about privacy-first AI, sustainable computing, and creating technology that democratizes access to advanced capabilities, we want to talk with you.

Dotted Map

At Xference, you won't just find a job—you'll find a mission to make
AI truly work for everyone, everywhere, without compromise.

Join Xference

Bring your expertise.
Shape the future. Build something extraordinary.

Join Xference

Bringing together exceptional talent with shared vision, we're creating more than just technology—we're defining the future of AI implementation. At Xference, your expertise directly shapes our company's trajectory as we build an extraordinary platform that will transform how organizations access and leverage AI's full potential, while respecting fundamental values of privacy and accessibility.

Join us

Responsibilities

  • Design, implement, and maintain robust, scalable, and secure Linux-based systems in production environments
  • Manage and optimize containerized workloads using Docker and Podman, ensuring high availability and performance
  • Deploy and orchestrate services in virtualized environments using KVM and LXD, with emphasis on network, storage, and security configuration
  • Automate infrastructure and operational tasks through Bash and Python scripting for deployment, monitoring, backup, and maintenance workflows
  • Provision and manage infrastructure using Ansible, Terraform, and Puppet, enabling consistent, version-controlled, and repeatable deployments
  • Implement and monitor observability solutions using Prometheus and Grafana, and establish centralized logging for proactive incident detection
  • Configure and maintain critical network services including DNS, DHCP, and NTP in enterprise-grade environments
  • Design and enforce high-availability (HA) architectures, backup strategies, and disaster recovery (DR) plans with regular testing and validation
  • Develop and maintain comprehensive technical documentation, including system architectures, runbooks, and onboarding materials
  • Collaborate effectively with cross-functional teams, contributing to problem-solving, knowledge sharing, and continuous improvement in fast-paced environments

Requirements

  • Advanced proficiency in Linux system administration across distributions such as Ubuntu, Debian, and Alpine Linux
  • Hands-on experience with containerization (Docker, Podman) and virtualization (KVM, LXD) technologies
  • Strong scripting skills in Bash and Python for automation and tooling
  • Practical experience with Infrastructure as Code (IaC) tools including Ansible, Terraform, and Puppet
  • Solid understanding of networking fundamentals and experience managing core services (DNS, DHCP, NTP)
  • Proven ability to implement high-availability systems and disaster recovery strategies
  • Excellent documentation practices and a commitment to knowledge sharing
  • Strong communication skills, teamwork, and a proactive, detail-oriented approach to problem-solving
  • Familiarity with observability tools like Prometheus and Grafana, and centralized logging solutions

Nice to Have

  • Experience with cloud platforms (AWS, Azure, GCP) for hybrid or cloud-native deployments
  • Exposure to CI/CD pipelines and DevOps toolchains for automated deployments
  • Understanding of microservices architecture and distributed system design
  • Knowledge of security hardening practices for systems, containers, and networks
  • Experience with configuration management and policy-as-code approaches (e.g., using OPA, Sentinel)