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Senior Distributed Systems Engineer

1 week ago

Bengaluru, Karnataka, India LinkedIn Full time

Company Overview

At LinkedIn, we are committed to creating economic opportunities 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 aspire to create a culture that's built on trust, care, inclusion, and fun, where everyone can succeed.

Job Description

We are building a next-generation tracking platform to efficiently collect interaction data for our billion-plus users cutting across multiple technology stacks (mobile, applications, infrastructure) and generate insights in near real-time.

You will work 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.

Responsibilities:

  • Design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
  • Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
  • Effectively communicate with the team, partners, and stakeholders.
  • Mentor other engineers, define our challenging technical culture, and help to build a fast-growing team.
  • Deliver incremental impact by driving innovation while iteratively building and shipping software at scale.

Required Skills and Qualifications

- 8+ years of industry experience in software design, development, and algorithm-related solutions.

- Hands-on experience developing distributed systems, large-scale systems, databases, and/or Backend APIs.

Preferred Qualifications

- Experience with Hadoop (or similar) Ecosystem (Gobblin, Kafka, Iceberg, ORC, MapReduce, Yarn, HDFS, Hive, Spark, Presto).

- Experience with industry, open-source projects, and/or academic research in data management, relational databases, and/or large-data, parallel, and distributed systems.

- Experience in architecting, building, and running large-scale systems.

Benefits

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.