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Tier-1 brand, hybrid role, mid-level backend title, metro location, and broad skill requirements increase competition.
Core backend skills are transferable, but enterprise integrations and AI-agent experience add moderate domain specificity.
Explicit 4+ years, required languages and distributed-systems expertise, and degree preferences create stringent filters.
Design, build, and lead development of scalable, distributed enterprise applications and AI-native platforms for LinkedIn’s productivity and collaboration tools.
Drive technical execution of complex features and cross-functional programs with strong focus on architecture, code quality, and operational reliability.
Collaborate with product and engineering teams to define service boundaries, negotiate trade-offs, and ensure on-time delivery including on-call operational support.
Bachelor's degree in Computer Science or related technical field (or equivalent experience).
At least 4 years of industry experience (preferably 5+ years with a BS, 4+ years with MS).
Strong programming skills in Python, Java, or Go, with expertise in data structures, algorithms, distributed systems, and database design.
Experience designing large scale infrastructure, web services, and building reliable, high-volume applications running 24x7.
Experienced engineer capable of leading mid-sized teams and mentoring junior engineers, delivering complex scalable distributed systems.
Strong systems and software design skills, including concurrency, data modeling, performance tuning, and AI-native development.
Comfortable working on full SDLC, balancing strategic roadmapping and technical debt while engaging cross-functional stakeholders and dependent teams.