Senior Software Engineer, Operations (LATAM) (Fully Remote)

Qdrant; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote-friendly culture

Competitive salary

Flexible hours

Job summary

Qdrant is a remote-first, international team building cutting-edge AI infrastructure and operating customer Qdrant clusters. We offer a competitive salary and flexible, async-friendly culture.

Join us to manage regional Kubernetes clusters and cloud infrastructure, participate in a follow-the-sun on-call rota for the Americas, and transform recurring manual tasks into scalable automation that accelerates AI workloads.

Qualifications

• 5+ years in SRE, infrastructure, platform engineering or DevOps roles.
• Solid experience running Kubernetes in production.
• Hands-on experience with at least one major cloud provider.

Responsibilities

• Operate and improve the regional Kubernetes clusters and cloud infrastructure that host customer Qdrant clusters.
• Take part in a follow-the-sun on-call rota covering the Americas time zones.
• Turn recurring manual operations into automation and self-service.

Skills

Kubernetes

SRE/DevOps

Automation

Tools

AWS

GCP

Azure

Job description

• Operate and improve the regional Kubernetes clusters and cloud infrastructure that host customer Qdrant clusters.
• Take part in a follow-the-sun on-call rota covering the Americas time zones.
• Turn recurring manual operations into automation and self-service.

Who You Are:

• 5+ years in SRE, infrastructure, platform engineering or DevOps roles.
• Solid experience running Kubernetes in production.
• Hands-on experience with at least one major cloud provider.

Why Join Us:

• A remote-first, international team working on cutting-edge AI infrastructure.
• A competitive salary with additional perks.
• Flexible working hours and async-friendly culture.

Qdrant

Qdrant is an open-source vector search engine powering the next generation of AI applications. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.