DevOps Engineer

• Design, Build, and Maintain Core Infrastructure: Architect and implement scalable, highly available, and secure infrastructure on cloud platforms (GCP, AWS, Azure) to support our AI-driven applications and services.
• Automate Everything: Develop and maintain automation tools and frameworks to eliminate manual effort in deployment, configuration, and management of our production environment.
• Ensure System Reliability and Performance: Establish and monitor Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for our production systems. Proactively identify and resolve performance bottlenecks and availability issues.
• Manage ML Infrastructure and Pipelines: Collaborate with ML engineers to build and maintain robust CI/CD pipelines for machine learning models, ensuring seamless training, deployment, and monitoring.
• Incident Response and Post-Mortems: Lead incident response efforts to minimize downtime and conduct thorough post-incident reviews to identify root causes and implement preventative measures.
• Implement and Enhance Observability: Deploy and manage comprehensive monitoring, logging, and tracing solutions (e.g., Prometheus, Grafana, ELK stack) to provide deep visibility into system health.
• Capacity Planning and Cost Optimization: Forecast infrastructure needs and optimize resource utilization to ensure our platform can scale efficiently and cost-effectively.
• Foster a Culture of Reliability: Champion SRE best practices across the engineering organization and mentor team members on reliability, performance, and scalability.

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