ironquill.tech/board

$ cat jobs/principal-staff-software-engineer-systems-infrastructure-linkedin3-7d18a4b44eb6.json

Principal Staff Software Engineer, Systems Infrastructure

Linkedin3·Worldwide·Remote·senior
ci/cd
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LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. We are seeking a Principal Staff Software Engineer to join our organization. The team builds and evolves the foundational platforms that keep LinkedIn’s services reliable, scalable, secure, and high-performing at global scale. As a Principal Staff Engineer, you will serve as a senior technical leader and architect responsible for defining and driving next-generation infrastructure that powers AI-first unified developer platforms — enabling engineers and AI agents to collaboratively build, deploy, and operate software with confidence. Responsibilities: Architect large-scale infrastructure systems for end-to-end software lifecycle platforms Design unified CI/CD and deployment platforms spanning build, test, deploy, and runtime operations Build observability, monitoring, and cost visibility systems for production infrastructure Develop real-time data pipelines and online serving systems supporting automated or AI-assisted opera

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