
Automation Specialist: AI Platform
4 days ago
We're seeking a skilled AI Infrastructure Engineer to join our team.
- 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.
- Programming Skills: Strong development experience in Java & Spring framework.
- Microservices Expertise: Hands-on with microservices (orchestration, service discovery, APIs).
- Database Knowledge: Database expertise across SQL (MySQL, PostgreSQL, Oracle, SQL Server) & NoSQL (MongoDB, Cassandra, Redis).
- Web Services Experience: Experience with low-latency, high-throughput web services.
- Metrics Systems Familiarity: Familiar with metrics systems (Prometheus, Grafana).
- JVM Debugging Skills: Strong JVM debugging skills (GC tuning, memory leak detection, thread/heap analysis).
- Kubernetes Experience: Solid understanding of Kubernetes, Docker, Linux fundamentals.
- CICD Tools Knowledge: Experience with CI/CD (Jenkins), automation, monitoring, and testing frameworks.
The ideal candidate will have excellent communication, problem-solving, and collaboration skills.
This is an exciting opportunity to shape the future of AI infrastructure at global scale.
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