Senior Software Engineer, Media & Intelligence At Loom

Senior Software Engineer, Media & Intelligence at Loom Engineering | Remote, Remote | Remote, Remote | Austin, United States | San Francisco, United States | Mountain View, United States or Remote | New York, United States | Washington DC, United States | Full-Time
Loom is the video communication platform for async work that helps companies communicate better at scale. The Media & Intelligence Team lives at the heart of Loom's product development, providing a set of libraries, services, platforms, and APIs used across our systems to power recording, playback, editing, and advanced AI features.
We are seeking a senior software engineer to contribute to our media systems. You will report to the Senior EM of this team and collaborate with broad cross-functional teams. This role can be remote or work from one of Atlassian's US offices.
What you'll do Build the server-side and client-side infrastructure that enables engineering teams to build world-class video messaging products. Design and implement media features that delight our users and differentiate Loom's products and services from our competitors. Uphold a high standard of engineering excellence because the performance and reliability of media infrastructure directly impact our product experience, hence the perception of Loom's overall brand. Diagnose and improve the quality of the end-to-end video experience. Optimize our media pipelines to be performant across all the platforms. Display strong ownership and influence over the team's roadmap. Your background Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience). 5+ years of professional experience in software development, with a strong emphasis on distributed systems. Deep understanding of backend technologies and service architectures. Solid understanding of database technologies and data modeling. Strong problem-solving skills and ability to debug complex issues in a distributed environment. Excellent communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications: Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes). Prior experience working on media streaming platforms or related technologies. Experience with mainstream media codecs and container format (VP8/x264/AAC/HLS etc.). Experience building FFmpeg filters or have worked with FFmpeg APIs and tools.
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