10 Kubernetes roles across 4 companies, most in AI/ML
Who is hiring (4 companies)
Role types
Work arrangement: 10 hybrid
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 10 of 10 positions
Search with filters →Design and build robust infrastructure for AI SaaS platforms in a dynamic startup environment.
Guide customers in designing scalable systems using MongoDB as a Senior Solutions Architect in a hybrid role based in Seoul.
Design and build core infrastructure for a scalable AI SaaS platform in a dynamic startup environment.
Join Twelve Labs as a Token Engineer to design and implement token management solutions for AI tools in a hybrid work environment.
Build and operate production ML systems for Pegasus, focusing on reliability and performance in a hybrid work environment.
Join Twelve Labs as a Senior Platform Engineer to build and operate scalable AI infrastructure and internal platforms.
Join Reflection AI as a Forward Deployed Engineer to drive AI solutions for enterprise customers in a hands-on role.
Lead the Forward Deployed Engineering function at Reflection AI, bridging cutting-edge research with enterprise deployments.
Join Datadog as a Partner Solutions Architect to drive technical initiatives and support partner success in a hybrid work environment.