• As an NBCUniversal Academic Year intern, you’ll work on real projects and be part of our collaborative culture. • Contribute to meaningful work while building skills that matter. • Work closely with development and operations partners to ensure reliable, scalable, and efficient systems that power TVE platforms. • Responsibilities include building, testing, and maintaining infrastructure and technology stacks, implementing and optimizing CI/CD pipelines, monitoring system health and automating maintenance tasks, and contributing to process improvement initiatives aimed at enhancing quality while reducing time and costs.

• Design and develop scalable web applications using Python and modern frontend frameworks. • Build and maintain backend services and APIs for integrations. • Develop responsive frontend applications using JavaScript frameworks. • Implement microservices and integrate with databases and cloud platforms. • Ensure application security, performance, and scalability. • Contribute to CI/CD pipelines and DevOps processes. • Participate in code reviews, technical discussions, and mentoring. • Implement monitoring, logging, and system reliability improvements. • Collaborate with cross-functional teams to deliver end-to-end solutions.

Lead the security and compliance program while managing security tools and cloud infrastructure. Collaborate across teams to implement automated solutions and enhance security processes, ensuring readiness for audits and compliance standards.

• Balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems. • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads. • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters. • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.). • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime. • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs. • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences. • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform. • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments. • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure. • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.). • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements. • Document processes and procedures to ensure consistency and knowledge sharing across the team. • Contribute to open-source projects, research publications, blog articles and conferences.