LinkedIn is seeking a Staff Software Engineer to join their Systems Infrastructure team in Bangalore, India. This role is part of the Tracking Team, responsible for instrumenting & collecting accurate data of how LinkedIn users interact with their web & mobile applications. The team's work is crucial as it impacts decision making, product understanding, and AI model development across LinkedIn.
The position offers a hybrid work arrangement, allowing flexibility between remote work and office presence. As a Staff Engineer, you'll be at the forefront of building next-generation infrastructure and platforms that handle data collection for billion-plus users across multiple technology stacks.
The role involves working with cutting-edge distributed technologies and contributing to LinkedIn's impressive portfolio of open-source projects like Apache Kafka, Pinot, Azkaban, Samza, and others. You'll be part of a world-class engineering team that values innovation and technical excellence.
Key focus areas include developing large-scale distributed systems, improving system observability, mentoring other engineers, and driving technical strategy. The ideal candidate will have extensive experience in distributed systems, strong programming skills in languages like Java, Python, Go, or Scala, and a proven track record of delivering complex technical solutions.
This is an opportunity to make a significant impact at scale, working on systems that directly affect LinkedIn's core metrics and revenue-sensitive data collection. You'll be part of a company culture built on trust, care, inclusion, and fun, with strong emphasis on employee growth and development.