Staff Software Engineer - Full Stack

LinkedIn, a global leader in professional networking, is seeking a Staff Software Engineer to join their DataHub team. This role presents an exciting opportunity to work on LinkedIn's metadata management platform that helps millions of professionals discover and utilize data effectively.

The position is based in Bengaluru, India, with a hybrid work arrangement that combines remote work with office presence. As a Staff Software Engineer, you'll be at the forefront of developing and maintaining DataHub, a crucial platform that catalogs datasets and enables LinkedIn employees to efficiently find, access, and manage data resources.

The role demands expertise in both frontend and backend development, with a focus on building scalable solutions using technologies like React.js, JavaScript, Java, and Python. You'll be working with a world-class team of engineers, leading architectural decisions, and mentoring junior team members while contributing to hands-on development.

Key responsibilities include leading the architecture and design of internal tools, ensuring system scalability and reliability, and collaborating with global teams across the United States and Ireland. You'll be instrumental in improving workflow efficiency and enhancing data ownership coverage and accuracy.

The ideal candidate brings 9+ years of programming experience, strong full-stack development skills, and expertise in JavaScript frameworks, particularly React. You'll need to demonstrate experience with API development, data-related domains, and a track record of working with large-scale systems.

This role offers the opportunity to impact LinkedIn's data infrastructure significantly, working with cutting-edge technologies and contributing to open-source projects. You'll be part of a team that's essential to LinkedIn's data strategy, helping to make data more discoverable, understandable, and governable across the organization.

Benefits include working with a global team, contributing to significant open-source projects, and being part of LinkedIn's innovative engineering culture. The position offers professional growth opportunities through mentorship, technical leadership, and exposure to large-scale data management challenges.