• Own the reliability, performance, and operational health of production AI systems, focusing on improving complex, existing services. • Lead efforts to refactor and harden the AI codebase to improve observability, maintainability, and resilience. • Diagnose and resolve issues across distributed systems, including latency, throughput, data pipelines, and resource utilization. • Design and build monitoring, alerting, and debugging tools for high-availability services. • Partner with researchers and ML engineers to productionize models at scale. • Establish best practices for testing, deployment, capacity planning, and incident response. • Serve as a technical leader during on-call rotations, driving incident response, postmortems, and continuous system improvements.

• Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation. • Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability. • Designing, building, and operating our data center to support our rapidly growing Machine Learning team. • Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment. • Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure. • Participating in platform on-call rotations and assisting with urgent incident response.

• Deliver, upgrade and maintain infrastructure with high cybersecurity standards (ISO/SOC2) • Drive our code deployment (CI / CD) • Set-up, configure and run development/test and staging/production infrastructure across multiple products and critical applications and multiple cloud providers (AWS, Azure) • Collaborate with developers, SREs, Product Managers and other roles within the business group • Empower development teams on a day to day while thinking strategically and planning for platform growth

• Design, build, and maintain scalable AWS infrastructure using Infrastructure as Code tools such as Terraform or AWS CloudFormation. • Develop and manage CI/CD pipelines leveraging AWS services (e.g. CodePipeline, CodeBuild, CodeDeploy) and/or third-party tools. • Operate and optimize containerized and serverless workloads using services such as EKS, ECS, Lambda, and Fargate. • Monitor, log, and troubleshoot systems using Amazon CloudWatch, AWS X-Ray, and related observability tools to ensure high availability. • Implement AWS security best practices, including IAM, network security (VPCs, security groups), and secrets management. • Automate infrastructure operations, scaling, and maintenance using scripting and AWS-native automation services. • Lead incident response and post-incident reviews, driving continuous improvements in reliability, performance, and cost optimization. • Support additional infrastructure and operational responsibilities as needed.