ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior Support Engineer (AI): Resolving advanced technical issues across Kubernetes, Linux, networking, security, cloud environments, storage systems, and ML pipelines with an accent on complex troubleshooting, automation, and customer-facing incident resolution. Focus on designing Python and Bash automation, optimizing model deployment and storage performance, and leading scalable support practices through technical mentorship and cross-functional collaboration.
Location: Remote from Singapore; shift work required.
Company
Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment.
What you will do
- Diagnose and resolve advanced technical issues across Kubernetes, Linux, networking, security, and cloud environments.
- Act as a technical escalation point for complex troubleshooting and collaborate with engineering, product, and cross-functional teams.
- Investigate storage issues and optimize data storage architectures and performance.
- Support AI/ML model deployment, performance tuning, and ML pipeline integrations.
- Develop Python and Bash automation scripts, improve operational processes, and maintain technical documentation.
- Mentor support colleagues and lead scalable support practices and process improvements.
Requirements
- Advanced Kubernetes expertise is mandatory.
- Advanced or expert Linux administration and strong Linux and/or AI/ML experience.
- Advanced networking, cloud platforms including AWS, Azure, or GCP, and Python/Bash scripting.
- Practical experience with AI/ML training, inference, and pipelines.
- Advanced data storage knowledge and expert troubleshooting and problem-solving skills.
- Bachelorβs degree in Computer Science, Information Technology, or a related field, with 7+ years in technical support and 5+ years of hands-on cloud experience.
Nice to have
- Relevant certifications in AWS, Azure, GCP, Linux administration, or Kubernetes.
Culture & Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility, autonomy, and ownership.
- Collaborative and innovative international environment.
- Opportunity to work on impactful AI projects.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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