What You’ll Be Doing:

📍Deployment and Management of AI Tools: Deploy, configure, and manage AI-powered employee productivity tools and in-house AI built solutions 📍Reliability and Performance: Ensure high availability, reliability, and optimal performance of AI platforms and services. Implement monitoring, alerting, and incident response procedures. 📍Scalability and Infrastructure: Design and implement scalable infrastructure to support the growing demands of AI tools and user base. Optimize resource utilization and manage capacity planning. 📍Automation and Tooling: 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. 📍Collaboration and Support: 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. 📍Security and Compliance: Adhere to security and privacy policies while deploying and managing AI tools. Ensure compliance with regulatory requirements. 📍Monitoring and Metrics: Implement comprehensive monitoring and metrics to track the performance and health of AI systems. Analyze data to identify areas for improvement and optimization. 📍Incident Response: Participate in incident response and troubleshooting for AI-related outages or performance issues. Develop and maintain incident response plans. 📍Backend Development: Contribute to backend development tasks to support the integration and functionality of AI tools. 📍Public Cloud Management: Deploy and manage AI solutions on public cloud platforms (AWS/GCP), leveraging cloud-native services and best practices. 📍Written and Verbal Communication: Excellent communication skills and experience presenting technical information to non-technical audiences, including senior leadership.

What We Look For In You:

📍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.

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