[Hiring] Senior Platform Engineer - Cloud Infrastructure @Qdrant

Role Description

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.

• 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.

Qualifications

• 5+ years of experience in SRE, platform engineering, or infrastructure software engineering.
• Strong programming skills (Go preferred, Python acceptable).
• Experience building automation in production.
• 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.

Requirements

• Experience building Kubernetes controllers or operators (Nice to Have).
• Experience with Terraform or infrastructure-as-code tools (Nice to Have).
• Experience with observability stacks such as Prometheus, Grafana, or OpenTelemetry (Nice to Have).
• Experience operating large-scale SaaS infrastructure (Nice to Have).
• Experience working with database or data infrastructure systems (Nice to Have).

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.