
AI Infrastructure DevOps Engineer
1 day ago
We are seeking a seasoned DevOps expert to support large-scale AI/ML infrastructure, enabling researchers and data scientists to innovate at a global scale.
This role involves scaling AI platform services for global teams, ensuring the security, high availability, and performance of mission-critical systems.
The ideal candidate will have hands-on experience with Java and Spring framework, microservices (orchestration, service discovery, APIs), database expertise across SQL and NoSQL, and experience with low-latency web services.
- Support and scale AI platform services for global teams.
- Ensure secure, high availability (99.999%) of mission-critical systems.
- Troubleshoot and automate fixes for performance & functional issues.
- Partner with engineering teams to design CI/CD pipelines and DevOps best practices.
- Deliver automation and operational improvements for reliability and scalability.
Key Requirements:
- Strong development experience in Java and Spring framework.
- Hands-on with microservices, orchestration, service discovery, APIs.
- Database expertise across SQL and NoSQL.
- Experience with low-latency web services.
- Familiarity with metrics systems.
- Strong JVM debugging skills.
- Solid understanding of Kubernetes, Docker, Linux fundamentals.
- Experience with CI/CD, automation, monitoring, and testing frameworks.
- Excellent communication, problem-solving, and collaboration skills.
About the Opportunity:
This is an exciting chance to join a diverse team where you'll shape the future of AI infrastructure at a global scale.
Apply now to explore this opportunity.
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