Software Engineer (Content Ingestion)

• The Software Engineer on the Content Ingestion team will design, build, and maintain ingestion pipelines that process millions of assets from linear feeds and multimedia files, powering real-time content matching, recommendations, and advertising insights for Roku’s ACR (Automatic Content Recognition) platform
• This role focuses on full-stack operations across cloud and on-premises environments, including creating APIs, batch jobs, and infrastructure using AWS and GCP
• The engineer will serve as a key liaison between US-based content partners and the engineering team in Seoul, South Korea, ensuring smooth data flow and partner communication
• Day-to-day work includes setting up instances, managing deployments, implementing monitoring and observability, and participating in on-call rotations for critical production services
• This is an excellent opportunity for an early-career engineer to make a meaningful impact on a globally distributed platform reaching millions of households
• Design, implement, and maintain APIs and batch jobs for asset ingestion, processing, and distribution
• Create and manage infrastructure for both on-premise and cloud (AWS/GCP) deployments using Terraform and Ansible
• Implement monitoring, alerting, and observability using tools such as Prometheus, Grafana, and Alertmanager
• Participate in on-call rotations for critical production services
• Optimize system performance, reduce costs, and manage technical debt
• Communicate with US-based content partners to gather requirements and coordinate data ingestion
• Collaborate with international engineering teams in Utah and Seoul, South Korea, including attending cross-timezone standups
• Drive AI methodologies and agentic AI workflows within active code repositories
• Conduct knowledge-sharing demos and perform code reviews
• Manage containerized deployments using Docker and Kubernetes
• Work with CI/CD pipelines and version control via Git

Benefits

• Medical, wellness and financial benefits
• Free snacks and access to the company fitness center
• Unlimited paid time off policy
• Work from home opportunities- The ideal candidate brings 1–3 years of hands-on engineering experience with a strong foundation in cloud operations, DevOps, and scripting
• Fluency across the agentic engineering toolchain, including coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks
• Strong understanding of Linux distributions and command-line tools
• Experience with containerization technologies including Docker and orchestration platforms such as Kubernetes
• Excellent problem-solving skills and the ability to communicate technical concepts to non-technical stakeholders
• Experience with relational databases (e.g., Postgres) and non-relational databases (e.g., MongoDB)
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Understanding of message queues, caching strategies, and horizontal/vertical scaling
• Willingness to participate in on-call rotations and flexibility to occasionally collaborate across international time zones
• Proficiency in one or more of the following languages: Python, Bash, C++, or Go
• Knowledge of monitoring and observability tools such as Prometheus and Grafana
• 1–3 years of experience in software engineering, DevOps, or cloud operations
• Experience with cloud platforms such as AWS and/or GCP (Compute, Storage, Networking, Managed Services)
• Familiarity with infrastructure-as-code tools such as Terraform and Ansible
• Strong written and verbal communication skills, particularly for cross-timezone and cross-cultural collaboration