Lead Site Reliability Engineer - AI/ML Platform

Job responsibilities

• Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
• Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels
• Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
• Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
• Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
• Documents and shares knowledge within your organization via internal forums and communities of practice

Required qualifications, capabilities, and skills

• Formal training or certification on SRE concepts and 5+ years applied experience
• Expertise in SRE principles, reliability, scalability, and performance of application and infrastructure.
• Expertise in programming with Python and Infrastructure as Code, tools such as Terraform.
• Experience in architecting distributed systems and cloud-native architecture in AWS.
• Systematic problem-solving and troubleshooting skills in a complex system.
• Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.

• Preferred experience working in AI, ML, or Data engineering.
• Familiar in container orchestration/Kubernetes.
• Familiar in  developing Automation frameworks/AI Ops.