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. 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. This role will be based in Mountain View, CA. The Infrastructure TPM team drives large-scale modernization and migration initiatives across LinkedIn’s advanced infrastructure, including in-house data storage and analytics systems, entity management platforms, query and serving layers, and experimentation platforms. The broader Online Infrastructure organization is responsible for building LinkedIn’s next-generation platforms—spanning application and service delivery, compute, massively scalable storage and replication systems, search, AI/ML platforms, experimentation, and privacy and compliance. In this role, you will work alongside some of the best engineers in the industry, applying deep systems thinking and technical judgment across distributed systems, APIs, and large-scale platform architectures. LinkedIn has pioneered and continues to maintain industry-leading open-source technologies such as Apache Kafka, Pinot, Samza, Azkaban, Venice, DataHub, and others, while also leveraging industry standards like Kubernetes, gRPC, and GraphQL. You will help shape programs that operate at extreme scale while contributing to technology that impacts millions of people globally.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level