
AI Infrastructure Developer
9 hours ago
This role involves supporting large-scale AI/ML infrastructure, empowering researchers and data scientists to innovate globally.
- Support and scale AI platform services for global teams.
- Ensure secure, high availability 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.
We are looking for candidates with strong development experience in Java & Spring framework. Additionally, expertise in microservices, database management across SQL and NoSQL databases, and experience with low-latency web services are highly valued.
A solid understanding of Kubernetes, Docker, Linux fundamentals, and experience with CI/CD tools, automation, monitoring, and testing frameworks are essential. Excellent communication, problem-solving, and collaboration skills are also required.
Key Responsibilities:1. Infrastructure SupportProvide technical support and maintenance for AI platform services, ensuring they operate efficiently and effectively.
2. System Security and AvailabilityEnsure the security and high availability of mission-critical systems, minimizing downtime and data breaches.
3. Troubleshooting and AutomationTroubleshoot and automate fixes for performance and functional issues, streamlining processes and improving efficiency.
4. CI/CD Pipeline DesignCollaborate with engineering teams to design and implement CI/CD pipelines and DevOps best practices, ensuring seamless software delivery.
5. Automation and Operational ImprovementsDeliver automation and operational improvements for reliability and scalability, enhancing overall system performance.
Required Skills and Qualifications:- Strong development experience in Java & Spring framework.
- Expertise in microservices, database management across SQL and NoSQL databases.
- Experience with low-latency web services.
- Solid understanding of Kubernetes, Docker, Linux fundamentals.
- Experience with CI/CD tools, automation, monitoring, and testing frameworks.
- Excellent communication, problem-solving, and collaboration skills.
You'll have the opportunity to work on cutting-edge AI/ML infrastructure, collaborate with a talented team of engineers, and develop your skills in a dynamic and supportive environment.
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