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Software Engineer

Cisco

Salary not specified
Oct 16, 2025
Research Triangle Park, NC, US
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Cisco.com Engineering team is looking to craft a first-in-class digital experience for customers and partners interacting with Cisco.com, integrating modern, cloud-native technologies and AI/LLM models to stay agile and adaptable.

Requirements

  • Extensive experience in software engineering with a focus on Digital Asset Management or related content management systems.
  • Proficiency in programming languages such as Java, Python, or JavaScript.
  • Deep understanding of media asset types (video, images, HTML, firmware) and metadata standards.
  • Experience with APIs, microservices architecture, and cloud-native development.
  • Strong knowledge of database design, indexing, and search technologies.
  • Familiarity with security best practices, data privacy, and compliance requirements.
  • A foundational understanding of AI and machine learning concepts, algorithms, and models is preferred.

Responsibilities

  • Lead the development and maintenance of the Digital Asset Management platform, ensuring robustness, scalability, and security.
  • Architect and implement advanced features for asset ingestion, metadata management, categorization, search, and retrieval.
  • Oversee integration of DAM systems with other enterprise content management and business applications.
  • Drive continuous improvement in system reliability, performance, and security.
  • Troubleshoot complex issues and lead root cause analysis for production incidents.
  • Participate in code reviews, design discussions, and contribute to technical documentation.
  • Stay current with industry trends and emerging technologies relevant to digital asset management.

Other

  • Mentor and guide junior engineers, fostering best practices in software development and system design.
  • Collaborate cross-functionally with product managers, UX designers, and other engineering teams to deliver high-quality solutions.
  • Proven ability to lead technical projects and mentor engineering teams.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
  • Strong communication skills to articulate technical concepts to diverse stakeholders.