Senior Platform Engineer

About Us:

We are a cutting-edge vector database company dedicated to providing high-performance, scalable solutions for managing and querying large-scale vector data. Our mission is to revolutionize the way organizations handle complex data by leveraging the power of vector databases. We are a fully remote company looking for talented and passionate senior backend engineers to join our team and help us build the next generation of database technology.

Position Overview:

The Senior Platform Engineer at Qdrant will be a key player in designing, implementing, and managing a highly scalable cloud platform that powers our innovative vector database solutions. This role requires a strategic mindset to ensure the platform aligns with the company's growth objectives and can handle the increasing demands of our expanding customer base.

• Design, implement, and manage a highly scalable cloud platform.


• Develop a strategic vision for the platform that aligns with business growth.


• Utilize cloud platform providers (AWS, GCP, Azure) for optimal performance, cost, and reliability.


• Optimize cloud infrastructure to support business needs efficiently.


• Architect and manage Kubernetes clusters.


• Develop and operate Kubernetes operators to enhance cluster functionality.


• Design and maintain distributed systems ensuring high availability and resilience.


• Write high-quality, maintainable code in Go.


• Automate workflows and integrate various platform components.


• Work closely with cross-functional teams (development, data science, operations).


• Ensure platform stability and scalability through effective teamwork.


• Implement monitoring, logging, and alerting to ensure system health.


• Continuously optimize for efficiency and cost-effectiveness.

• 3-4+ years in platform engineering or a related field.


• Proven track record of managing and scaling cloud platforms.


• Proficiency in Go.


• Deep understanding of Kubernetes architecture and management of Kubernetes operators.


• Strong knowledge of distributed systems and microservices architecture.


• Solid understanding of distributed systems principles.


• Willingness to participate in on-call rotations and experience in handling high-pressure incidents.


• Extensive experience with one or more cloud providers (AWS, GCP, Azure).


• Demonstrated ability to design systems that scale efficiently and handle rapid growth.


• Strong analytical skills.


• Proactive approach to identifying and solving complex problems.


• Excellent communication skills.


• Ability to work well in a team-oriented environment.

• Competitive salary and benefits package.


• Flexible work hours and full remote setup.


• Opportunity to work on cutting-edge technology in a fast-growing industry.


• Professional development opportunities and career growth.


• Collaborative and inclusive work environment.

Qdrant is powering the next generation of AI applications with advanced, high-performant vector similarity search technology. Our flagship product is the leading open-source Vector Database. https://github.com/qdrant/qdrant

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