LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer to join their Multi-Language Infrastructure team with a focus on Python expertise. This role is based in Mountain View, CA, with a hybrid work arrangement combining remote and office work.
The position sits within LinkedIn's world-class software engineering team, where you'll be instrumental in building next-generation infrastructure and platforms. The Python Team holds a strategic position within LinkedIn's ecosystem, managing Python language infrastructure and setting industry-leading standards for developer experience and service efficiency.
As a Staff Software Engineer, you'll be responsible for modernizing Python, improving performance, and enhancing Python craftsmanship across LinkedIn. The role involves close collaboration with GenAI Platform teams to achieve ambitious goals in the AI Era. You'll own and evolve internal Python tooling to improve service performance at scale.
Key responsibilities include developing technical strategies for complex requirements, designing and optimizing large-scale distributed systems, improving system observability, and mentoring other engineers. You'll work closely with the open-source community and drive innovation while ensuring incremental impact.
The ideal candidate should have 8+ years of relevant experience, with deep expertise in Python programming, distributed systems, and performance engineering. Experience with C/C++ interoperability, open-source project management, and building language platforms is highly valued.
LinkedIn offers a competitive compensation package ranging from $156,000 to $288,000 annually, plus benefits including health programs, 401k, annual performance bonus, and stock options. The company promotes a culture of diversity, inclusion, and career growth, making it an ideal place for talented engineers looking to make a significant impact while working with cutting-edge technologies.
Join LinkedIn's Python team to experience a collaborative and supportive culture, abundant learning opportunities, cross-team partnerships, and immense growth potential. This role offers the chance to shape the future of professional networking while working on challenging technical problems at scale.