Software Engineering Manager, Systems and Infrastructure at LinkedIn3

This role will be based in Mountain View, Bellevue, or San Francisco. 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. As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. Responsibilities • Lead, coach and manage core team of engineers working on building the infrastructure. • Participate with senior management in developing a long-term technology roadmap for the team and company. • Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope. • Communicate and collaborate effectively with stakeholders across engineering and business leadership. • Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills. • Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time. • Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality.