SRE: AI Infra & ML Platforms in Hybrid Cloud - Equity
FLUIX
14 days+
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Benefits offered by this job
Job summary
A technology company in California seeks a skilled Site Reliability Engineer to ensure reliability and performance of their hybrid-based platform. The ideal candidate will collaborate with engineering and operations teams to enhance system reliability, develop automation tools, and respond to incidents. Candidates should have a strong background in managing cloud infrastructure, proven experience in SaaS environments, and proficiency in programming languages such as Python.
Qualifications
- Proven experience as a Site Reliability Engineer or similar role in a SaaS environment.
- Experience with ML and AI technologies, and familiarity with data center operations integrations.
- Excellent problem-solving skills and strong communication abilities.
Responsibilities
- Design, implement, and maintain scalable systems while optimizing performance.
- Develop and maintain automation tools to enhance system reliability.
- Respond to and resolve incidents effectively and timely.
Skills
Site Reliability Engineering
Cloud infrastructure management
Machine Learning and AI technologies
Proficiency in Python
Kubernetes
Education
Bachelor's degree in Computer Science, Engineering, or related field
Tools
AWS
GCP
Azure
CI/CD pipelines
Job description
A technology company in California seeks a skilled Site Reliability Engineer to ensure reliability and performance of their hybrid-based platform. The ideal candidate will collaborate with engineering and operations teams to enhance system reliability, develop automation tools, and respond to incidents. Candidates should have a strong background in managing cloud infrastructure, proven experience in SaaS environments, and proficiency in programming languages such as Python.
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