Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.  Team: Video team builds the systems that power video creation, delivery, relevance, and integrity at scale. As a Sr. Software Engineer on the Video team, you’ll work on high‑impact backend services that shape how millions of members discover, consume, and trust video content across the platform. This role offers end‑to‑end ownership , meaningful technical scope, and close collaboration with product, infra, and ranking partners. You’ll help define backend architecture, improve platform foundations, and ship features that directly influence engagement and creator experiences. If you enjoy working on large‑scale systems, ambiguous problem spaces, and products with visible user impact , this is a place to do deep technical work while shaping the future of video. Responsibilities  You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.  You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.  You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.  You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.  You will lead the technical execution of complex features and mid-sized initiatives, breaking down ambiguous requirements into clear, actionable engineering milestones.  You will design component-level architectures and data models that are highly scalable, fault-tolerant, and easily maintainable by the broader team.  You are expected to raise the bar for code quality and engineering excellence through rigorous code reviews, comprehensive technical design documents, and proactive technical debt reduction.  You will utilize AI tools throughout the SDLC to boost design, coding, and review productivity, and contribute to shared skills and best practices for the overall team  You will work with product managers and dependent engineering teams to negotiate technical trade-offs, define service boundaries, and ensure on-time delivery.  You will learn to balance tactical day-to-day execution with long-term technical debt management and strategic component roadmapping.