Cloud Data Infrastructure Engineer
4 weeks ago
About this role
We are seeking a talented and experienced Site Reliability Engineer to play a crucial role in ensuring the reliability, scalability, and performance of our Azure AI Services platform. This individual will work closely with cross-functional teams to design, implement, and maintain robust infrastructure and automation solutions.
Key Responsibilities:
- Design, deploy, and maintain a highly available and scalable data infrastructure on Azure, focusing on open AI, databases, and event-driven services.
- Monitor and optimize the performance of AI workloads, ensuring seamless execution and minimal latency.
- Collaborate with cross-functional teams, including data engineers, data scientists, and developers, to provide technical guidance and support in implementing best practices.
- Ensure data governance policies and practices are followed to maintain data integrity, security, and compliance.
- Troubleshoot and resolve issues related to data infrastructure, working closely with operations and development teams.
- Implement automation and monitoring tools to streamline operations and improve system reliability.
- Plan and execute disaster recovery procedures and backup strategies for data platforms.
Requirements:
- Proven experience as an SRE or similar role, with a focus on data infrastructure and analytics.
- Strong expertise in managing and optimizing Azure open AI or event-driven applications in Azure.
- In-depth knowledge of data governance principles, data security, and compliance requirements.
- Experience with performance optimization techniques for large-scale data processing and analytics workloads.
- Experience managing Azure cloud services, including compute, storage, networking, and security.
- Familiarity with AI services, particularly OpenAI, for implementing machine learning and natural language processing solutions.
- Proficiency in Terraform for infrastructure as code management and automation.
- Any database knowledge is required, including SQL and NoSQL databases, for data storage and management.
- Proficiency in scripting and automation using languages such as Python, PowerShell, or Bash.
- Familiarity with cloud platforms, preferably Microsoft Azure, and related services (Azure Data Factory, Azure Data Lake Analytics, etc.).
- Solid understanding of containerization technologies, such as Docker and Kubernetes.
- Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed data environment.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
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