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 MELT instrumentation team is responsible for creating the backbone of our observability signals. The team builds a solution which scales to billions of metrics per minute, millions of change events, tens of Petabytes of logs per day, and billions of traces per minute. Our team provides standardized solutions that enable all of LinkedIn's applications & infrastructure to easily instrument, emit, and process these signals. As a member of our team, you'll have the opportunity to work with each LinkedIn application stack and leverage open source tools like OpenTelemetry and Fluent Bit to integrate with our stack. The system problems this team solves are at hyper scale and require working with high concurrency service infrastructure.
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
You will Benefit from our Culture:
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.
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
