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.
LinkedIn is looking for a Staff Enterprise Engineer to transform the Service Management Engineering (SME) function within the Productivity Engineering Operations organization. In this role, you will establish reliability practices for employee-facing systems, design effective observability and monitoring frameworks, and develop automation that minimizes tickets and prevents outages before they occur. You will be part of a cross-functional team owning Critical Incident and Problem Management, Change Management, and IT Data Architecture/Service Portfolio. Each of these functions plays a key role in driving scalability and unlocking options for automation and continuous improvement that will streamline operations and help our Engineering teams improve their products for our employees. This role blends Site Reliability Engineering skills with IT Service Management responsibilities, focusing on strategic impact rather than routine operations. It is a high-impact individual contributor position focused on driving strategic transformation across LinkedIn's employee-facing systems. Prepare SME function to adopt AI technologies across the Operational processes. You will play a key role in evolving service management practices to boost employee productivity, enhance operational resilience, and enable long-term scalability across the organization.
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.
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