Senior Software Engineer, Operations (LATAM)

Posted 2 Days Ago
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Hiring Remotely in Colombia
Remote
Senior level
Artificial Intelligence • Machine Learning • Software • Database
The Role
Operate and improve Qdrant Cloud’s multi-cloud Kubernetes infrastructure across AWS, GCP, and Azure. Participate in the LATAM follow-the-sun on-call rotation, resolve incidents, conduct root cause analysis, and automate recurring operations using Go and infrastructure-as-code. Drive regional rollouts, improve monitoring, reliability, performance, and cost efficiency, document infrastructure changes, lead incident improvements, and help onboard engineers. The role also involves cross-team collaboration and occasional customer escalation support.
Summary Generated by Built In

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.

Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.

As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.

The Team and Your Impact

As a Senior Software Engineer on the Qdrant Cloud Operations team, you will run and evolve the infrastructure behind Qdrant Cloud: the regional Kubernetes clusters, cloud accounts and networking that customer databases run on across AWS, GCP and Azure.

You will be one of the engineers in our LATAM on-call group. Together with the team in Europe, you will help us set up a two-region follow-the-sun on-call rota, so incidents in the Americas time zones get a fast response and fewer out-of-hours pages land on the European team.

This role includes a regular on-call rotation. Shifts include time outside normal working hours in Americas time zones, and on-call is compensated.

What You Will Own
  • Operate and improve the regional Kubernetes clusters and cloud infrastructure that host customer Qdrant clusters (AWS, GCP, Azure).

  • Take part in a follow-the-sun on-call rota covering the Americas time zones: respond to incidents, lead root cause analysis and drive the follow-up fixes.

  • Turn recurring manual operations into automation and self-service, in Go and infrastructure-as-code (Terraform, Crossplane, GitOps with FluxCD).

  • Roll out new regions and dedicated regions (Qdrant Cloud regions reserved for a single customer), and make that process faster and more repeatable.

  • Improve monitoring, alerting and runbooks so problems are caught before customers notice.

  • Improve the reliability, performance and cost of the fleet: instance types, storage and capacity.

  • Write design docs for infrastructure changes and lead them through review and rollout, including across teams.

  • Raise the bar on how the team runs incidents, postmortems and day-to-day operations, and help onboard the next engineers in LATAM.

Who You Are
  • 5+ years in SRE, infrastructure, platform engineering or DevOps roles, running production systems.

  • Solid experience running Kubernetes in production, including stateful workloads or databases, and debugging it when it breaks.

  • Hands-on experience with at least one major cloud provider (AWS, GCP or Azure), including its networking: VPCs, load balancing, DNS, PrivateLink / Private Service Connect. Two or more providers is a plus.

  • You have built and maintained production software in Go, or in another language and are happy to switch to Go.

  • Experience with infrastructure-as-code (Terraform/Crossplane or similar), CI/CD and GitOps.

  • On-call experience: you have handled real production incidents using metrics, logs and alerting (Prometheus, Grafana, OpenTelemetry or similar), and written up what happened.

  • Clear written and spoken English. Most of the team is in Europe, so a lot of handover is async, and you may occasionally join customer calls to debug escalations that Customer Support can't resolve alone.

  • You use AI coding and operations tools in your daily work, and you know when to trust their output and when to verify it.

Nice to have
  • Experience building or debugging Kubernetes operators or controllers.

  • Experience running GPU workloads on Kubernetes.

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.

  • High ownership and real impact.

  • Open-source, engineering-driven culture.

  • Choose your own laptop equipment.

For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.


Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.

Come build with us!


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Skills Required

  • 5+ years of experience in SRE, infrastructure, platform engineering, or DevOps roles running production systems
  • Production Kubernetes experience, including stateful workloads or databases and Kubernetes troubleshooting
  • Hands-on experience with at least one major cloud provider: AWS, GCP, or Azure
  • Cloud networking experience, including VPCs, load balancing, DNS, PrivateLink, or Private Service Connect
  • Production software development experience in Go or another language with willingness to switch to Go
  • Infrastructure-as-code experience with Terraform, Crossplane, or similar tools
  • CI/CD and GitOps experience
  • On-call experience handling production incidents using metrics, logs, and alerting
  • Clear written and spoken English
  • Experience with Kubernetes operators or controllers
  • Experience running GPU workloads on Kubernetes
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The Company
HQ: Berlin

What We Do

Qdrant is an open-source vector database and search engine designed for AI applications. It enables fast, scalable similarity search for unstructured data, supporting use cases like semantic search, recommendation engines, and RAG systems. Built in Rust, it provides high-performance retrieval with metadata filtering and real-time updates, serving as a critical infrastructure component for developers building AI-powered platforms.

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