• Help define and elevate the user experience for learners and professionals around the world • Collaborate with talented, mission-driven colleagues across regions • Work in a culture that values trust, innovation, and transparency • Design, implement, and maintain scalable, secure, and reliable CI/CD pipelines • Manage and optimize cloud infrastructure (e.g., AWS, Azure) and container orchestration (e.g., Kubernetes) • Drive automation across infrastructure and development workflows • Build and maintain monitoring, alerting, and logging systems to ensure reliability and observability • Collaborate with Engineering, QA, and Security teams to deliver high-performing, compliant solutions • Troubleshoot complex system issues in staging and production environments • Guide and mentor junior engineers and contribute to DevOps best practices

• Implement and maintain Infrastructure as Code (IaC) using Terraform. • Develop, manage, and optimize Terraform modules. • Manage and optimize AWS Cloud infrastructure, ensuring performance, scalability, and availability requirements are met. • Assist in implementing and maintaining monitoring and logging systems (e.g., ELK, Grafana, Thruk). • Provide technical support for infrastructure, CI/CD pipelines, and deployment processes. • Troubleshoot and resolve infrastructure-related issues, ensuring smooth operations. • Document and maintain DevOps workflows, processes, and system configurations.

• Lead and mentor a team of DevOps engineers, fostering technical growth and collaboration • Define and drive the infrastructure roadmap aligned with company objectives • Architect and oversee cloud infrastructure design and implementation • Establish best practices, standards, and processes for infrastructure development and operations • Partner with Engineering, Research, and FDE to align infrastructure capabilities with business needs • Drive the evolution of Kubernetes clusters optimized for GPU workloads, Production SaaS hosting and varied enterprise deployment models • Champion GitOps practices using ArgoCD for continuous deployment • Establish infrastructure as code standards using Terraform • Define monitoring and observability strategy for distributed systems • Collaborate with ML engineers to optimize infrastructure for model training and serving • Own infrastructure reliability, performance, and security posture • Implement and maintain cost optimization strategies (FinOps) for cloud resources

• Design and implement cloud infrastructure from the ground up • Build and maintain Kubernetes clusters optimized for GPU workloads and ML applications, as well as Production SaaS hosting • Implement GitOps practices using ArgoCD for continuous deployment • Develop infrastructure as code using Terraform • Create and maintain CI/CD pipelines for infrastructure and application deployment • Implement monitoring and observability solutions for distributed systems • Automate infrastructure management with Python and Bash • Collaborate with ML engineers to optimize infrastructure for model training and serving • Implement and maintain cost optimization strategies (FinOps) for cloud resources • Monitor and optimize cloud spending, especially for GPU-intensive workloads