Qdrant is a cutting-edge vector database company on a mission to revolutionize how organizations manage and query unstructured data. Our open-source engine and managed cloud platform power AI-driven search, recommendation, and data discovery at scale.

We are building the infrastructure that runs Qdrant Cloud globally and are looking for engineers who enjoy solving complex systems problems and automating infrastructure through software.

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.

Location:

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.

Tasks

• 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

Requirements

Must Have

• 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.

Benefits

• Competitive salary.
• Fully remote work environment.
• Flexible working hours.
• Opportunity to work on mission-critical infrastructure powering AI workloads.
• Strong collaboration with experienced infrastructure and platform engineers.
• Ownership of systems operating a globally distributed cloud platform.

If you enjoy building software that automates infrastructure and operating large-scale systems, we would love to hear from you.

Apply to join a team building the infrastructure that powers AI-native applications at scale.

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