Nandan Kulkarni

About Nandan Kulkarni

I am a Senior Software Engineer at LinkedIn, with a focus on building and scaling observability solutions that ensure the seamless operation of LinkedIn’s vast infrastructure. With over six years of experience in designing and maintaining high-performance, reliable systems, I specialize in instrumenting and optimizing observability signals—managing billions of metrics per minute, millions of change events, petabytes of logs, and billions of traces daily.Currently, I am part of LinkedIn\'s Observability Team, responsible for creating the backbone of monitoring and performance insights across the platform. I work extensively with open-source tools such as OpenTelemetry and Fluent Bit, driving the standardization of metrics, logs, and traces. My role focuses on solving system challenges at hyper scale, ensuring real-time monitoring and reliability.In previous roles, I’ve worked on optimizing data pipelines using technologies like Apache Druid, Hadoop, Kafka, and Redis, contributing to server architectures and infrastructure for data-intensive applications. I’ve led initiatives to integrate open-source technologies with custom solutions, ensuring scalability and automation across complex systems.I am passionate about building innovative, data-driven solutions that leverage observability to optimize system performance and enable data-driven decision-making at scale. My goal is to continue driving impactful engineering solutions that improve the reliability, efficiency, and observability of large-scale systems.

Experience

1. Senior Software Engineer

   Linkedin

   Sep 2024 — Present · Bengaluru, IN

   In my role as a Senior Software Engineer on LinkedIn\'s Observability team, I work on creating the backbone of observability signals across the organization. Our team focuses on building and scaling solutions that manage billions of metrics per minute, millions of change events, tens of petabytes of logs per day, and billions of traces per minute. This enables LinkedIn’s applications and infrastructure to be efficiently monitored and optimized at hyper scale.Key responsibilities include- Developing high-performance instrumentation solutions using open-source technologies like OpenTelemetry and Fluent Bit- Collaborating with cross-functional teams to integrate observability into LinkedIn’s application stacks- Standardizing metrics, logs, and traces for real-time monitoring, performance insights, and troubleshooting- Working on large-scale, high-concurrency systems to ensure reliable data emission and processing- Leading efforts to innovate and improve our observability stack to support LinkedIn’s growing infrastructure needsThis role has given me the opportunity to solve complex system problems at scale, working with cutting-edge technologies to ensure our platform’s observability is seamless and efficient.

Education

• PES University

  Bachelor's Degree, Computer Science

  2011 — 2015

• Govindram Seksaria Science (GSS) College, Belagavi

  Pre-University Course, PCMB

  2009 — 2011

• 1% Club

  Personal Finance, Personal Finance Mastery

Skills

• Linux
• Hibernate
• Relational Databases
• Software Testing
• Data Structures
• Spring Framework
• Unix
• Computer Networking
• Javascript
• Core Java
• C++
• Java Enterprise Edition
• C
• Jsp
• Software Engineering Practices
• Xml
• Java
• Algorithms
• Software Development
• Python