Senior Site Reliability Engineer, Core AI Infrastructure

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Requirements:

• Proven experience as a Site Reliability Engineer (SRE) or similar role.
• Strong understanding of AI technologies and platforms.
• Experience with deploying and managing applications in a cloud environment (AWS/GCP).
• Solid backend development experience with programming languages such as Python, Java, or Go.
• Strong proficiency in managing and configuring public cloud services (AWS/GCP) for scalability and reliability.
• Experience with automation tools and scripting (e.g., Ansible, Terraform, Bash, Python).
• Excellent troubleshooting and problem-solving skills.
• Strong communication and collaboration skills.
• Strong security and compliance understanding.
• Experience working in a highly regulated environment
• Experience in a fast-paced, high-growth company

Responsibilities:

• Deploy, configure, and manage AI-powered employee productivity tools and in-house AI built solutions
• Ensure high availability, reliability, and optimal performance of AI platforms and services. Implement monitoring, alerting, and incident response procedures
• Design and implement scalable infrastructure to support the growing demands of AI tools and user base. Optimize resource utilization and manage capacity planning
• Develop and maintain automation scripts and tools to streamline deployment, monitoring, and maintenance tasks. Contribute to the experimental sandbox environments for testing new AI solutions
• Collaborate with cross-functional teams (Machine-Learning, HR, Security, Data Science, Developer Experience) to support the development and integration of AI solutions. Provide technical support and troubleshooting for AI-related issues
• Adhere to security and privacy policies while deploying and managing AI tools. Ensure compliance with regulatory requirements
• Implement comprehensive monitoring and metrics to track the performance and health of AI systems. Analyze data to identify areas for improvement and optimization
• Participate in incident response and troubleshooting for AI-related outages or performance issues. Develop and maintain incident response plans
• Contribute to backend development tasks to support the integration and functionality of AI tools
• Deploy and manage AI solutions on public cloud platforms (AWS/GCP), leveraging cloud-native services and best practices
• Excellent communication skills and experience presenting technical information to non-technical audiences, including senior leadership