Senior Software Engineer, Systems Infrastructure

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

This role will be based in Bangalore, India.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

The logging platform is responsible for managing the logging infrastructure at LinkedIn, ensuring that logs are efficiently collected, processed, enriched, and stored. The platform handles a high volume of logs, scaling to petabytes per day. It provides standardized solutions that enable all LinkedIn applications and infrastructure to easily instrument, emit, and process log data. As a member working with the logging platform, you will have the opportunity to work with various LinkedIn application stacks and leverage open-source tools like Fluent Bit and Apache log4j to integrate with our logging infrastructure. The system challenges addressed by this platform involve high concurrency and require robust service infrastructure to maintain performance and reliability.

Responsibilities
- Develop multi-tier scalable, high-volume performing, and reliable system infrastructure observability solutions that operate 24x7.
- Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
- Partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity.

Basic Qualifications
- BE/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
- 5+ years of experience in object-oriented or functional programming languages.
- 5+ years of hands on experience developing distributed systems, databases, large scale data systems and/or Backend API's.

Preferred Qualifications
- 5+ years industry experience in software design, development, and algorithm related solutions.
- 5+ years programming experience in languages such as Java, C/C++, Python, Go, etc.
- Familiarity with Observability technologies.

Suggested Skills:
- Large-scale Distributed System design
- Observability technologies (OpenTelemetry, Fluent Bit, Grafana, Prometheus, etc)
- Cross-organizational collaboration

India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal