
Cloud Native AI Infrastructure Specialist
2 weeks ago
We're looking for an experienced AI Infrastructure Engineer to support our AI Platform Team. This role focuses on maintaining large-scale AI/ML infrastructure, enabling researchers and data scientists to innovate at a global scale.
This is a fantastic chance to work with cutting-edge technologies and be part of a dynamic team that drives innovation in the field of artificial intelligence.
- Maintain and scale AI platform services for global teams.
- E nsure secure, high availability (99.999%) of mission-critical systems.
- Troubleshoot and automate fixes for performance & functional issues.
- Collaborate with engineering teams to design CI/CD pipelines and DevOps best practices.
- Deliver automation and operational improvements for reliability and scalability.
To succeed in this role, you'll need strong development experience in Java & Spring framework. You should also have hands-on experience with microservices, database expertise across SQL and NoSQL, and knowledge of metrics systems.
Additionally, we're looking for someone with solid understanding of Kubernetes, Docker, Linux fundamentals, and experience with CI/CD (Jenkins), automation, monitoring, and testing frameworks.
You'll be working closely with cross-functional teams to deliver high-quality solutions and drive business growth.
If you're passionate about AI infrastructure and want to take your skills to the next level, apply now
Requirements:- Strong development experience in Java & Spring framework.
- Hands-on experience with microservices.
- Database expertise across SQL (MySQL, PostgreSQL, Oracle, SQL Server) & NoSQL (MongoDB, Cassandra, Redis).
- Solid understanding of Kubernetes, Docker, Linux fundamentals.
- Experience with CI/CD (Jenkins), automation, monitoring, and testing frameworks.
- Opportunity to work with cutting-edge technologies.
- Collaborative and dynamic work environment.
- Chance to learn from experienced professionals.
- Ongoing training and development opportunities.
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