Senior Software Engineer - Cloud Platform Infrastructure (Americas)

Posted 3 Hours Ago
4 Locations
Remote
Senior level
Artificial Intelligence • Machine Learning • Software • Database
The Role
Build and automate internal tools and services to operate Qdrant Cloud at scale. Develop platform components in Go and Python, improve Kubernetes automation, provisioning, reliability, scalability, and observability. Collaborate on architecture, participate in incident response, and reduce manual operational toil through automation.
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.

As a Senior Platform Engineer - Cloud Infrastructure, you will work on the automation and internal systems that operate Qdrant Cloud reliably at scale. Rather than manually managing infrastructure, your work will focus on building tools, services, and automation that allow the platform to operate itself.

This role is best suited for engineers who enjoy writing code, automating infrastructure, and building platform systems.

This role is fully remote but restricted to candidates located in the Americas (North, Central, or South America) to ensure time-zone alignment with the team.

What you will own
  • Build internal tools and services that power Qdrant Cloud infrastructure.

  • Develop automation and platform components using Go and Python.

  • Design systems for cluster provisioning, lifecycle management, and infrastructure automation.

  • Improve Kubernetes automation through controllers, operators, and infrastructure tooling.

  • Design solutions that reduce operational toil and eliminate manual infrastructure work.

  • Improve reliability, scalability, and observability of the cloud platform.

  • Collaborate with platform and infrastructure teams on system architecture and automation.

  • Participate in incident response and implement improvements to prevent recurrence.

  • Continuously improve the internal platform used to operate Qdrant Cloud.

Who you are
  • 5+ years of experience in SRE, platform engineering, or infrastructure software engineering.

  • Strong programming skills (Go preferred, Python acceptable).

  • Experience building automation or tooling for cloud infrastructure.

  • Hands-on experience operating Kubernetes in production.

  • Experience working with AWS, GCP, or Azure.

  • Strong understanding of Linux systems and networking fundamentals.

  • Experience improving reliability through automation and systems design.

  • Comfortable participating in on-call rotations.

Nice to have
  • Experience building Kubernetes controllers or operators.

  • Experience with Terraform or infrastructure-as-code tools.

  • Experience with observability stacks such as Prometheus, Grafana, or OpenTelemetry.

  • Experience operating large-scale SaaS infrastructure.

  • Experience working with database or data infrastructure systems.

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 candidates, 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!
For information on how we handle your personal data, please refer to our Recruitment Privacy Policy

Skills Required

  • 5+ years experience in SRE, platform engineering, or infrastructure software engineering.
  • Strong programming skills (Go preferred, Python acceptable).
  • Experience building automation or tooling for cloud infrastructure.
  • Hands-on experience operating Kubernetes in production.
  • Experience with AWS, GCP, or Azure.
  • Strong understanding of Linux systems and networking fundamentals.
  • Experience improving reliability through automation and systems design.
  • Comfortable participating in on-call rotations.
  • Experience building Kubernetes controllers or operators.
  • Experience with Terraform or infrastructure-as-code tools.
  • Experience with observability stacks such as Prometheus, Grafana, or OpenTelemetry.
  • Experience operating large-scale SaaS infrastructure.
  • Experience with database or data infrastructure systems.
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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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